Biological individuality is a notoriously thorny topic for biologists and philosophers of biology. In this paper we argue that biological individuality presents multiple, interconnected questions for biologists and philosophers that together form a problem agenda. Using a case study of an interdisciplinary research group in ecology, behavioral and evolutionary biology, we claim that a debate on biological individuality that seeks to account for diverse practices in the biological sciences should be broadened to include and give prominence to questions (...) about uniqueness and temporality. We show that broadening the problem agenda of biological individuality draws attention to underrecognized philosophical issues and discussions and thereby organizes and enriches the existing debate. (shrink)

Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical (...) class='Hi'>problem of opacity in artificial neural networks (ANNs) explodes with the adoption of current Deep Learning techniques [LeCun, Bengio, Hinton, 2015]. In this paper we argue that the explanatory deficit of such techniques represents an important problem, that limits their adoption in the cognitive modelling and computational cognitive science arena. In particular we will show how the current attempts of providing explanations of the deep nets behaviour (see e.g. [Ritter et al. 2017] are not satisfactory. As a possibile way out to this problem, we present two different research strategies. The first strategy aims at dealing with the opacity problem by providing a more abstract interpretation of neural mechanisms and representations. This approach is adopted, for example, by the biologically inspired SPAUN architecture [Eliasmith et al., 2012] and by other proposals suggesting, for example, the interpretation of neural networks in terms of the Conceptual Spaces framework [Gärdenfors 2000, Lieto, Chella and Frixione, 2017]. All such proposals presuppose that the neural level of representation can be considered somehow irrelevant for attacking the problem of explanation [Lieto, Lebiere and Oltramari, 2017]. In our opinion, pursuing this research direction can still preserve the use of deep learning techniques in artificial cognitive models provided that novel and additional results in terms of “transparency” are obtained. The second strategy is somehow at odds with respect to the previous one and tries to address the explanatory issue by avoiding to directly solve the “opacity” problem. In this case, the idea is that one of resorting to pre-compiled plausible explanatory models of the word used in combination with deep-nets (see e.g. [Augello et al. 2017]). We argue that this research agenda, even if does not directly fits the explanatory needs of Computational Cognitive Science, can still be useful to provide results in the area of applied AI aiming at shedding light on the models of interaction between low level and high level tasks (e.g. between perceptual categorization and explanantion) in artificial systems. (shrink)

The text's objective is to show that the Western scientific tradition, since the pre-Socratics, has as one of its traits the search for a unitary and uni-versal system of knowledge. Since the modern age, many attempts have been directed toward the search for the unification of science, culminating in Neurath's analytical philosophy and efforts in cybernetics. These efforts reflected an epistemological expectation for the unity of science, seeking methods and languages that would allow such an achievement. But such an expectation (...) has not yet satisfied the hopes of the monists. The diversifi-cation of science deepened and, at the same time, the problems faced by humanity increased the need for science to offer answers to solve the great global problems. The planet and humanity are under severe pressure in many ways. Pollution and depletion of water resources, threats of mass extinction of biodiversity, deforestation, desertification, global climate change, persistent poverty for large contingents of the world's population, attacks on democratic systems and values in many countries, and, at this moment, a pandemic of great proportions. In short, a threat to the sus-tainability of the planet and civilization as such. The paper goes through Mode 1 of knowledge production, showing that this Model is limited and insufficient to solve the problems humanity is facing. Model 2 of knowledge production is suggested as the immediate perspective to support the cope with humanity´s global problems. This Agenda presupposes a new way to unify science, which transdisciplinarity can bring. Therefore, the unity of science wouldn´t be through reduction-ism or the unification of language, but through the new modus operandi of transdisciplinary practice. (shrink)

Current research in Intercultural Information Ethics is preoccupied, almost exclusively, by moral and political issues concerning the right and the just These issues are undeniably important, and with the continuing development and diffusion of ICTs, we can only be sure more moral and political problems of similar kinds are going to emerge in the future. Yet, as important as those problems are, I want to argue that researchers' preoccupation with the right and the just are undesirable. I shall argue that (...) IIE has thus far overlooked the issues pertaining to the good life . IIE, I claim, should also take into account these issues. Hence, I want to propose a new agenda for IIE, i.e. the good life, in the current paper. (shrink)

How can different individuals' probability assignments to some events be aggregated into a collective probability assignment? Classic results on this problem assume that the set of relevant events -- the agenda -- is a sigma-algebra and is thus closed under disjunction (union) and conjunction (intersection). We drop this demanding assumption and explore probabilistic opinion pooling on general agendas. One might be interested in the probability of rain and that of an interest-rate increase, but not in the probability of (...) rain or an interest-rate increase. We characterize linear pooling and neutral pooling for general agendas, with classic results as special cases for agendas that are sigma-algebras. As an illustrative application, we also consider probabilistic preference aggregation. Finally, we compare our results with existing results on binary judgment aggregation and Arrovian preference aggregation. This paper is the first of two self-contained, but technically related companion papers inspired by binary judgment-aggregation theory. (shrink)

The Natural Problems, attributed to Aristotle, have gained much scholarly attention in the last decades, yet a systematic study of how the collection circulated in the Graeco-Roman Empire remains a blind spot in contemporary scholarship. Indeed, the Imperial Era is a seminal period for the history of the text, not just as a conduit between Aristotle and the Middle Ages – which in itself is essential for explaining the subsequent Arabic and Latin uptake of the Problems more clearly – but (...) also for the wealth of sources and testimonies it offers about the collection’s ancient readership and concrete use. The evidence shows that the collection sparked much debate among a range of ancient philosophers, doctors, sophists and scholars, both Greeks and Romans. This paper provides a selection of readings representative of the different socio-intellectual milieus in which the Problems circulated and the different agendas that it served. (shrink)

Many collective decision making problems have a combinatorial structure: the agents involved must decide on multiple issues and their preferences over one issue may depend on the choices adopted for some of the others. Voting is an attractive method for making collective decisions, but conducting a multi-issue election is challenging. On the one hand, requiring agents to vote by expressing their preferences over all combinations of issues is computationally infeasible; on the other, decomposing the problem into several elections on (...) smaller sets of issues can lead to paradoxical outcomes. Any pragmatic method for running a multi-issue election will have to balance these two concerns. We identify and analyse the problem of generating an agenda for a given election, specifying which issues to vote on together in local elections and in which order to schedule those local elections. (shrink)

Broadly stated, programs implementing the notion of sustainable development seek to balance economic interests with environmental interests. One would assume from the focus that one finds in sustainable development literature on how economics needs to account for the environment that sustainable development adherents are satisfied with the ways in which environmental studies account for economics. Specifically, it appears that sustainable development adherents are satisfied with the content of science as it is currently practiced and wish only to apply that content (...) of science practice more democratically to special problems. This essay questions that assumption by taking a concrete look at the environmental policy document known as Agenda 21. Can the extant practices of science, which to varying degrees created the need for the Earth Summit in Rio de Janeiro in 1992, remain untouched while economics are restructured, if we are to obtain sustainable development? Simply put, what is a sustainable science? (shrink)

This metatheoretical paper develops a list of new research targets by exploring particularly promising interdisciplinary contact points between empirical dream research and philosophy of mind. The central example is the MPS-problem. It is constituted by the epistemic goal of conceptually isolating and empirically grounding the phenomenal property of “minimal phenomenal selfhood,” which refers to the simplest form of self-consciousness. In order to precisely describe MPS, one must focus on those conditions that are not only causally enabling, but strictly necessary (...) to bring it into existence. This contribution argues that research on bodiless dreams, asomatic out-of-body experiences, and full-body illusions has the potential to make decisive future contributions. Further items on the proposed list of novel research targets include differentiating the concept of a “first-person perspective” on the subcognitive level; investigating relevant phenomenological and neurofunctional commonalities between mind-wandering and dreaming; comparing the functional depth of embodiment across dream and wake states; and demonstrating that the conceptual consequences of cognitive corruption and systematic rationality deficits in the dream state are much more serious for philosophical epistemology (and, perhaps, the methodology of dream research itself) than commonly assumed. The paper closes by specifying a list of potentially innovative research goals that could serve to establish a stronger connection between dream research and philosophy of mind. (shrink)

In this article, we discuss the continued circulation and use of retracted science as a complex problem: Multiple stakeholders throughout the publishing ecosystem hold competing perceptions of this problem and its possible solutions. We describe how we used a participatory design process model to co-develop recommendations for addressing this problem with stakeholders in the Alfred P. Sloan-funded project, Reducing the Inadvertent Spread of Retracted Science (RISRS). After introducing the four core RISRS recommendations, we discuss how the issue (...) of retraction-related stigma gives rise to recommendation #4, Educate stakeholders about retraction and pre- and post-publication stewardship of the scholarly record. This recommendation is important for training publishing professionals and realizing this recommendation will require further collaborative design work across scholarly communications. We highlight ongoing stakeholder work which is now re-starting the design cycle. We conclude with a discussion of ongoing activities facilitating uptake and refinement of RISRS research and the implementation agenda. (shrink)

Since before we can remember, humanity aims to overcome its biological limitations; such a goal has certainly played a key role in the advent of technique. However, despite the benefits that technique may bring, the people who make use of it will inevitably be under risk of harm. Even though human technical wisdom consists in attaining the best result without compromising anybody’s safety, misuses are always a possibility in the horizon. Nowadays, technology can be used for more than just improving (...) human capacities, preserving and restoring health or promoting human well-being. It also enables us to overcome human limitations and reach way beyond our "natural design". That being said, what could possibly justify the fear for these new directions of biotechnology? Should medicine and health care change their traditional goals and begin searching for artificial improvements to wellness in human nature? In this paper, I will hereby present and briefly discuss the main topics of the contemporary issue of human enhancement: the therapy-enhancement distinction, the possibility of cognitive enhancements and better physical performances, the fight against senescence, the arguments for and against human eugenics, the search for perfection, the quest of moral enhancement, the problem of public priorities, and some questions on medical ethics. Then, finally, I will want to present some realist perspectives on the subject. (shrink)

Kitcher has proposed an ideal-theory account—well-ordered science (WOS)— of the collective good that science’s research agenda should promote. Against criticism regarding WOS’s action-guidance, Kitcher has advised critics not to confuse substantive ideals and the ways to arrive at them, and he has defended WOS as a necessary and useful ideal for science policy. I provide a distinction between two types of ideal-theories that helps clarifying WOS’s elusive nature. I use this distinction to argue that the action-guidance problem that (...) WOS faces remains even under the aims/means distinction, because the WOS’s failure is more basic than critics have suggested. (shrink)

The political turmoil at the end of the period of Righteous Caliphs and in the early periods of the Umayyads had left the Islamic community facing factionalism and civil war. Accordingly, people have witnessed that the acts considered among the great sins such as assassination may be committed even by companions of the Prophet (pbuh). This situation brought the question on the status of believers who committed great sins in this World and in the Hereafter, to the agenda of (...) scholars. The Kharijis and the Mu’tazila did not consider the person who committed A great sin among the believers. According to the Ahl al-Sunna and Al-Jaṣṣās, to commit a great sin does not cause the exclusion of the person from religion. Al-Jaṣṣās has taken into account the issue of great sin, when dealing with the issues of general term, specialization of the cause and infallibilism in diligence (al-ijtihād), since it constitutes the theological (Kalāmī) side of the subject. Although al-Jaṣṣās’ followed a line close to Mu’tazila in the aforementioned matters concerning the jurisprudence, he defended the view of Abū Ḥanīfah in his approach to the person who committed a great sin. His approach to the matter of great sin also clarifies the relationship between islamic law and Islamic thought. (shrink)

Nobody claims to be a proponent of white feminism, but according to the critique presented in this article, many in fact are. I argue that feminism that does not take multiple axes of oppression into account is bad in three ways: it strategically undermines solidarity between women; it risks inconsistency by advocating justice and equality for some women but not all; and it impedes the ultimate function of feminism function by employing epistemological “master’s tools” that stand in antithesis to feminist (...) emancipatory work. In investigating ethnocentrism in feminism, I develop the idea of latent ethnocentrism, which occupies the space between meaning that is generated from reference to the self and overt racism. I identify an epistemological prong in the ethnocentrism charge against feminism, where I draw on bell hooks’ interlocking axes-model of oppression to answer why the ethnocentrism problem is important for feminism and what its underlying epistemological causes are. I draw on Uma Narayan’s destabilization of cultural dualisms to argue that they do not serve emancipatory agendas. There is a mutually constitutive relation between language that informs our understanding, on the one hand, and the political agendas that produce this language to sustain the male and the western norm as center, on the other hand. I call this circular and reciprocally reinforcing mechanism the episteme-politic. I conclude that the ethnocentrism problem is not merely an issue of strategy or feminist consistency but of shooting oneself in the foot by uncritically accepting patriarchal concepts for feminist politics. (shrink)

In this paper, I argue that Will Kymlicka’s theory of “mult”-iculturalism serves to unwittingly perpetuate a form of neo-colonial agenda in which Indigenous claims for recognition and sovereignty in Canada are accommodated to the degree and extent to which they are willing to “liberalize” and promote distinctly Euro-Western self-understandings and conceptions of individual autonomy (tied to substantive notions such as private property) – the supposedly foundational value and defining feature of liberalism. In fact, Kymlicka vehemently attacks Rawls’ theory of (...) political liberalism, whose tolerance-based conception provides a far more open theoretical normative architecture within which to dialogue with non-Western nations, where views of self, autonomy, property, land, non-human animals, and secularism may differ radically from those of liberal Western nations – or so I contend here. (shrink)

Philosophers have had surprisingly little to say about the concept of a victim although it is presupposed by the extensive philosophical literature on rights. Proceeding in four stages, I seek to remedy this deficiency and to offer an alternative to the two current paradigms that eliminates the Othering of victims. First, I analyze two victim paradigms that emerged in the late 20th century along with the initial iteration of the international human rights regime – the pathetic victim paradigm and the (...) heroic victim paradigm. Holocaust victims are quintessential instances of the pathetic victim paradigm. They are marked by passivity and innocence in the face of overpowering force and unspeakable humanly inflicted suffering. Aung San Suu Kyi is an exemplar of the heroic victim paradigm – prisoners of conscience, in Amnesty International’s terms. Because heroic victims face off against the repressive power of the state to fight injustice, they are by no means passive, but they must be innocent of wrongdoing – that is, they must use nonviolent means of dissent – to qualify as heroic victims. Second, I problematize the asymmetrical conceptions of innocence that underwrite the two victim paradigms. Whereas the pathetic victim paradigm identifies innocence with passivity, the heroic victim paradigm countenances agentic victims and adverts to a universalist, absolutist stance on the limits of the legitimate use of state power to ascribe innocence to heroic victims. Both conceptions of innocence are out of keeping with well established social and legal practices regarding what constitutes coercive force and innocent victimhood. Consequently, there is reason to be skeptical of the two victim paradigms. Third, I identify two kinds of human rights violations and two categories of victims that AI defends despite their failure to fit the two paradigms – women trafficked into sex work and prisoners on death row. In many cases, women forced to do sex work are not innocent girls who are ignorant of the trafficking system and who helplessly fall prey to smugglers. They are desperately poor women who for that reason are willing to take enormous risks to try to relieve their own and often their families’ deprivation and suffering. Although these women act nonviolently for irreproachable reasons, they lack the public political agendas that characterize heroic victims. Unless non-fulfillment of subsistence rights is recognized as a form of overpowering force that inflicts severe, avoidable suffering, these women do not qualify as pathetic victims either. The victim paradigms pose an even greater obstacle to recognizing that the death penalty is a human rights violation and that death row prisoners are victims. Because a jury concluded that these individuals committed heinous, violent crimes, they are excluded by the heroic victim paradigm. Only if death row prisoners can be proven (usually through DNA evidence) not to have committed the crimes for which they were convicted can these individuals qualify as pathetic victims. In the absence of any reason to believe that they are innocent and especially if they are unrepentant, they are widely regarded as brutal victimizers of others who deserve no sympathy for, let along relief from, the suffering they “brought on themselves.” Finally, I confront the Othering of victims that results from the two victim paradigms, which leads many victims to eschew the label, thereby opting out of human right discourse. I propose revisions in the victim paradigms that eliminate the real-world exclusions they sponsor as well as the Othering of victims of human rights abuses. In particular, I endorse greater attention to what people and the institutions they create do to other people, and I favor a presumption that unnecessary and severe humanly inflicted suffering is a human rights violation. Moreover, I reject the innocence criterion embedded in the two paradigms and urge that it be replaced by a burdened agency criterion. These modifications better align the concept of a victim with a realistic understanding of human subjectivity and agency and allow for a more capacious understanding of who is a bearer of human rights and under what conditions right-holders become victims of rights violations. (shrink)

Este artículo propone un enfoque erotético para definir el programa de investigación ecocrítico, analizando la interrelación entre los marcos conceptuales de la ecología y la teoría crítica literaria. Se sugiere una estructuracomún basada en agendas de problemas que enriquecen, tanto la práctica científica como la enseñanza. El objetivoprincipal es mostrar cómo la formulación de preguntas contribuye de manera significativa a la creación de agendasde problemas abiertos que guían la investigación, fomentando el desarrollo de nuevas hipótesis y promoviendo la interdisciplinariedad en (...) los programas de investigación ante los desafíos ecológicos. La metodología incluyeuna revisión de la estructura teórica de la ecocrítica y de cómo las agendas de problemas aportan flexibilidadmetodológica, permitiendo reformular preguntas a medida que surgen nuevos datos, tecnologías y enfoques. Los resultados destacan la importancia de los cuestionamientos en las ciencias ambientales para redefinir nuevas agendas de investigación, integrando marcos conceptuales no unificados por una teoría central. La ecocrítica se configura como un programa de investigación estructurado de manera erotética, al igual que la ecología. Lasconclusiones subrayan la interdependencia entre preguntas, agendas de problemas y la reflexión crítica sobre el método científico, enfatizando en la creatividad y utilidad de los cuestionamientos e hipótesis retroductivas, para una práctica científica más adecuada y ajustada a la urgencia de la crisis ecológica. (shrink)

The mind-body problem is one of the important topics in philosophy of mind and cognitive science. Following the analytical tradition of linguistic and logical analysis, we focus on two aspects of the mind- body problem: one is around Gödel's incompleteness theorem, and the other is on cognitive logic, especially on the question of whether Epistemological Arithmetic and machines are private. In the former case, in response to the popular view that the Gödel Incompleteness Theorem supports dualism in the (...) mind-body problem, H. Putnam constructs a counter-argument that defends the computationalist agenda: the equivalence of mind and Turing machine. In this regard, the paper discusses Putnam's line of analysis and then argues that it is unsound. In the latter case, the paper examines in detail the cognitive form of the expression of privateness and concludes, together with recent results in EA, that the existence of privateness in Turing machines is logically untenable and, therefore, we argue that the mind is not equivalent to a machine in terms of cognitive ability and privateness, i.e., the computationalist agenda is not valid. (shrink)

We analyse the computational complexity of three problems in judgment aggregation: (1) computing a collective judgment from a profile of individual judgments (the winner determination problem); (2) deciding whether a given agent can influence the outcome of a judgment aggregation procedure in her favour by reporting insincere judgments (the strategic manipulation problem); and (3) deciding whether a given judgment aggregation scenario is guaranteed to result in a logically consistent outcome, independently from what the judgments supplied by the individuals (...) are (the problem of the safety of the agenda). We provide results both for specific aggregation procedures (the quota rules, the premisebased procedure, and a distance-based procedure) and for classes of aggregation procedures characterised in terms of fundamental axioms. (shrink)

The military-industrial complex, military operations, and wars are major contributors to exacerbating both climate change and biodiversity crises. However, their environmental impacts are often shadowed due to national security reasons. The current paper aims to go through the devastating impacts of military operations and wars on climate change and biodiversity loss and challenges that hinder the inclusion of military-related activities into environmental crisis mitigation efforts. The information blind spot induced by concerns about national security reasons jeopardizes the efforts to involve (...) the military-industrial complex and military operations in the global climate and biodiversity agendas. Besides that, many military-related challenges, such as specificity of operational requirements and lifecycles, dependence on fossil fuels, complex supply change, inadequate civilian technologies and innovations, and requirements of structural changes, can hinder emission reduction. Meanwhile, wars and conflicts not only threaten to drain all human and material resources available to tackle environmental problems but also inflict long-lasting destructions, pains, and trauma that can lead to hatred and distrust among nations and parties. With the rising hatred and distrust, global agreement and commitment to address climate change and biodiversity will hardly be achieved. Thus, promoting peace is the humanistic and planetary conscience. (shrink)

If solutions to the problem of inequality are to be as radical as reality now demands, what is instead required is a reimagining of what would be involved comprehensively to tame capitalism through democratic means. This will involve much further development of the kind of plurality of institutional and policy proposals sketched by Meade, and will involve both the private and public – individual and collective – forms of capital predistribution that Meade advocated. Piketty, like Meade, sees the need (...) for both redistribution and predistribution, and both see that the institutional means necessary to create a more equal society will involve pursuing a plurality of parallel paths. It is closely in keeping with the spirit of Piketty’s Capital that the political and intellectual agenda ahead will be one that economics on its own cannot hope to encompass. It’s a vital agenda, with high stakes, and presents challenges to both academic researchers and political activists. On the success of this endeavour depends nothing less than the prospects for legitimate continuation of our economic system. (shrink)

There is a lot of conceptual engineering going on in medical research. I substantiate this claim with two examples, the medical debate about cancer classification and about obesity as a disease I also argue that the proper target of conceptual engineering in medical research are experts’ conceptions. These are explicitly written down in documents and guidelines, and they bear on research and policies. In the second part of the chapter, I propose an externalist framework in which conceptions have both the (...) explanatory power of psychological concepts and that of semantic concepts. It is likely, however, that human activities and practices distinct from medical research, and regulated by different practices and epistemic rules, call for different targets for conceptual engineering. I conclude with indicating an open agenda of problems for philosophers of medicine interested in conceptual engineering. (shrink)

As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse (...) fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders. (shrink)

The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more fact-oriented (...) and less theoretical than physics. However, the key leverageable idea is that careful extension of the science of living systems can be more effectively applied to some of our most vexing modern problems than the prevailing scheme, derived from abstractions in physics. While these have some universal application and demonstrate computational advantages, they are not theoretically mandated for the living. A new set of mathematical abstractions derived from biology can now be similarly extended. This is made possible by leveraging new formal tools to understand abstraction and enable computability. [The latter has a much expanded meaning in our context from the one known and used in computer science and biology today, that is "by rote algorithmic means", since it is not known if a living system is computable in this sense (Mossio et al., 2009).] Two major challenges constitute the effort. The first challenge is to design an original general system of abstractions within the biological domain. The initial issue is descriptive leading to the explanatory. There has not yet been a serious formal examination of the abstractions of the biological domain. What is used today is an amalgam; much is inherited from physics (via the bridging abstractions of chemistry) and there are many new abstractions from advances in mathematics (incentivized by the need for more capable computational analyses). Interspersed are abstractions, concepts and underlying assumptions “native” to biology and distinct from the mechanical language of physics and computation as we know them. A pressing agenda should be to single out the most concrete and at the same time the most fundamental process-units in biology and to recruit them into the descriptive domain. Therefore, the first challenge is to build a coherent formal system of abstractions and operations that is truly native to living systems. Nothing will be thrown away, but many common methods will be philosophically recast, just as in physics relativity subsumed and reinterpreted Newtonian mechanics. -/- This step is required because we need a comprehensible, formal system to apply in many domains. Emphasis should be placed on the distinction between multi-perspective analysis and synthesis and on what could be the basic terms or tools needed. The second challenge is relatively simple: the actual application of this set of biology-centric ways and means to cross-disciplinary problems. In its early stages, this will seem to be a “new science”. This White Paper sets out the case of continuing support of Information and Communication Technology (ICT) for transformative research in biology and information processing centered on paradigm changes in the epistemological, ontological, mathematical and computational bases of the science of living systems. Today, curiously, living systems cannot be said to be anything more than dissipative structures organized internally by genetic information. There is not anything substantially different from abiotic systems other than the empirical nature of their robustness. We believe that there are other new and unique properties and patterns comprehensible at this bio-logical level. The report lays out a fundamental set of approaches to articulate these properties and patterns, and is composed as follows. -/- Sections 1 through 4 (preamble, introduction, motivation and major biomathematical problems) are incipient. Section 5 describes the issues affecting Integral Biomathics and Section 6 -- the aspects of the Grand Challenge we face with this project. Section 7 contemplates the effort to formalize a General Theory of Living Systems (GTLS) from what we have today. The goal is to have a formal system, equivalent to that which exists in the physics community. Here we define how to perceive the role of time in biology. Section 8 describes the initial efforts to apply this general theory of living systems in many domains, with special emphasis on crossdisciplinary problems and multiple domains spanning both “hard” and “soft” sciences. The expected result is a coherent collection of integrated mathematical techniques. Section 9 discusses the first two test cases, project proposals, of our approach. They are designed to demonstrate the ability of our approach to address “wicked problems” which span across physics, chemistry, biology, societies and societal dynamics. The solutions require integrated measurable results at multiple levels known as “grand challenges” to existing methods. Finally, Section 10 adheres to an appeal for action, advocating the necessity for further long-term support of the INBIOSA program. -/- The report is concluded with preliminary non-exclusive list of challenging research themes to address, as well as required administrative actions. The efforts described in the ten sections of this White Paper will proceed concurrently. Collectively, they describe a program that can be managed and measured as it progresses. (shrink)

Hans Reichenbach was a formidable figure in early-twentieth-century philosophy of science. Educated in Germany, he was influential in establishing the so-called Berlin Circle, a companion group to the Vienna Circle founded by his colleague Rudolph Carnap. The movement they founded—usually known as "logical positivism," although it is more precisely known as "scientific philosophy" or "logical empiricism"—was a form of epistemology that privileged scientific over metaphysical truths. Reichenbach, like other young philosophers of the exact sciences of his generation, was deeply impressed (...) by the far-reaching changes in physics brought about by Einstein's special and general theories of relativity. Reichenbach responded to scientific advances by doing fundamental work in space-time theories, in quantum mechanics, in statistical mechanics, and in the development of probability theory—making him the most important philosopher of physics in the first generation of logical empiricism. Forced from his academic position by the Nazi race laws in 1933, Reichenbach wrote _Experience and Prediction_ at the University of Istanbul, where had had fled, expressly to introduce logical positivism to English speakers. In the two decades following World War II, during the explosion of scientific advances in North America, logical positivism was the reigning theory of the philosophy of science and Reichenbach was at the peak of his career. But, inevitably, support for logical positivism began to wane as it became obvious that the justification of scientific theories could not be entirely resolved by relying on strictly formal, technical processes. The growth of the discipline of the history of philosophy of science, which has created an audience of scholars eager for seminal classics in scientific philosophy, and the evidence supporting a historicist paradigm within logical positivism are two important reasons to make _Experience and Prediction_ available once again. "Hans Reichenbach's_ Experience and Prediction_ is one of the most important books in twentieth-century philosophy of science. Its author was, along with Rudolf Carnap, one of the two principal ambassadors to North America of the exciting new European philosophical movement known here under the names 'Logical Positivism' and 'Scientific Philosophy.' In 1938, when the book was published, Reichenbach was an exile from his native Germany, teaching in Istanbul, Turkey, and about to emigrate to the United States to take up a prestigious position at UCLA. He wrote_ Experience and Prediction_ in English as his calling card to his new American colleagues. More than any other single book,_ Experience and Prediction_ set the agenda for the new discipline of the philosophy of science that was to emerge after World War II as, perhaps, the most exciting new area in North American philosophy. Many of the problems still at the focus of discussion were given their classic formulations in this book. Long out of print,_ Experience and Prediction_ appears here in a new edition accompanied by a splendid historical introduction by the noted young philosopher and historian of the philosophy of science, Alan Richardson. A jewel of a book may once again be appreciated in its proper setting." —Don A. Howard, University of Notre Dame. (shrink)

In this paper I argue that Marxist Buddhism may provide a novel approach to envy in society. It has been argued that envy arises in response to socio-political inequality, which is considered a problem given the social and moral harms associated with envy. Thus, achieving equality is expected to solve the problem of envy. However, anecdotal and empirical evidence suggests that is not the case, and that, in particular, societies inspired by Marxist ideals are not envy-free—if anything, the (...) opposite seems true. Buddhism has traditionally condemned envy. It shares with Marxism the idea that individual wellbeing can be obtained, paradoxically, only through lessening emphasis on individuality—Marxism by means of economic collectivism, Buddhism by means of a spiritual transformation. Both aim at shrinking the self and are keenly aware of how quickly an emphasis on one’s own desires leads to greed and exploitation of others. However, Marxist ideals have failed to yield successful large-scale flourishing communities, while Buddhism is a religion practiced by millions of people but has not advanced a politically progressive agenda in particular. Marxist Buddhism—argue—may perhaps bring together the best of the respective traditions to solve the problem of envy. However, I end by cautioning against such a radical reshaping of our psychological makeup, especially given the evidence that shows that there are morally and prudentially good types of envy, and sketch the profile of a Buddhist-friendly type of envy as an alternative to total eradication. (shrink)

This book, now open-access from OUP, develops a normative theory of political responsibility for solidarity with poor populations by engaging closely with empirical studies of poor-led social movements in the Global South. Monique Deveaux rejects familiar ethical framings of problems of poverty and inequality by arguing that normative thinking about antipoverty remedies needs to engage closely with the aims, insights, and actions of “pro-poor,” poor-led social movements. Defending the idea of a political responsibility for solidarity, nonpoor outsiders—individuals, institutions, and states—can (...) help to advance a transformative anti-poverty agenda only by supporting the efforts of these movements. (shrink)

The contemporary debate between scientific realism and anti-realism is conditioned by a polarity between two opposing arguments: the realist’s success argument and the anti-realist’s pessimistic induction. This polarity has skewed the debate away from the problem that lies at the source of the debate. From a realist point of view, the historical approach to the philosophy of science which came to the fore in the 1960s gave rise to an unsatisfactory conception of scientific progress. One of the main motivations (...) for the scientific realist appeal to the success of science was the need to provide a substantive account of the progress of science as an increase of knowledge about the same entities as those referred to by earlier theories in the history of science. But the idea that a substantive conception of progress requires continuity of reference has faded from the contemporary debate. In this paper, I revisit the historical movement in the philosophy of science in an attempt to resuscitate the original agenda of the debate about scientific realism. I also briefly outline the way in which the realist should employ the theory of reference as the basis for a robust account of scientific progress which will satisfy realist requirements. (shrink)

Is there anything that members of each binary category of gender have in common? Even many non-essentialists find the lack of unity within a gender worrying as it undermines the basis for a common political agenda for women. One promising proposal for achieving unity is by means of a shared historical lineage of cultural reproduction with past binary models of gender. I demonstrate how such an account is likely to take on board different binary and also non-binary systems of (...) gender. This implies that all individuals construed as members of the category, “women” are in fact not members of the same historical kind after all! I then consider different possible means of modifying the account but conclude negatively: the problem runs deeper than has been appreciated thus far. (shrink)

Positive political theorists typically deny the possibility of collective agents by understanding aggregation problems to imply that groups are not rational decision-makers. This view contrasts with List and Pettit’s view that such problems actually imply the necessity of accounting for collective agents in explanations of group behaviour. In this paper, I explore these conflicting views and ask whether positive political theorists should alter their individualist analyses of groups like legislatures, political parties, and constituent assemblies. I show how we fail to (...) appreciate the significance of strategic voting and agenda control by treating groups as agents. I, therefore, conclude that positive political theorists should cling to their individualist approach and maintain that groups are not agents. (shrink)

Sustainability science seeks to extend scientific investigation into domains characterized by a distinct problem-solving agenda, physical and social complexity, and complex moral and ethical landscapes. In this endeavor it arguably pushes scientific investigation beyond its usual comfort zones, raising fundamental issues about how best to structure such investigation. Philosophers of science have long scrutinized the structure of science and scientific practices, and the conditions under which they operate effectively. We propose a critical engagement between sustainability scientists and philosophers (...) of science with respect to how to engage in scientific activity in these complex domains. We identify specific issues philosophers of science raise concerning current sustainability science and the contributions philosophers can make to resolving them. In conclusion we reflect on the steps philosophers of science could take to advance sustainability science. (shrink)

Are the workings of the international world to be explained scientifically, or are they to be understood through their inward meaning? In Explaining and Understanding International Relations philosopher Martin Hollis and international relations scholar Steve Smith join forces to analyse the dominant theories of international relations and to examine the philosophical issues underlying them. The book has three parts. In the first the authors review the growth of the discipline since 1918, pose the 'level of analysis' problem of whether (...) to account for a sytem in terms of its units or vice versa, and contrast the demand of scientific method with those of interpretative understanding. In the second they apply the contrast to four factors often cited in accounting for international behaviour - the international system, the state, bureaucracies, and decision-making individuals. Rival accounts of the games nations play are offered in readiness for the final part, where the authors propose a theoretical agenda, air their differences, and invite readers to take sides. By tackling deep theoretical issues with lucidity and verve this book will excite debate among theorists and students of international relations while also engaging thought about the philosophical character of the social sciences. (shrink)

Background Retraction is a mechanism for alerting readers to unreliable material and other problems in the published scientific and scholarly record. Retracted publications generally remain visible and searchable, but the intention of retraction is to mark them as “removed” from the citable record of scholarship. However, in practice, some retracted articles continue to be treated by researchers and the public as valid content as they are often unaware of the retraction. Research over the past decade has identified a number of (...) factors contributing to the unintentional spread of retracted research. The goal of the Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda (RISRS) project was to develop an actionable agenda for reducing the inadvertent spread of retracted science. This included identifying how retraction status could be more thoroughly disseminated, and determining what actions are feasible and relevant for particular stakeholders who play a role in the distribution of knowledge. -/- Methods These recommendations were developed as part of a year-long process that included a scoping review of empirical literature and successive rounds of stakeholder consultation, culminating in a three-part online workshop that brought together a diverse body of 65 stakeholders in October–November 2020 to engage in collaborative problem solving and dialogue. Stakeholders held roles such as publishers, editors, researchers, librarians, standards developers, funding program officers, and technologists and worked for institutions such as universities, governmental agencies, funding organizations, publishing houses, libraries, standards organizations, and technology providers. Workshop discussions were seeded by materials derived from stakeholder interviews (N = 47) and short original discussion pieces contributed by stakeholders. The online workshop resulted in a set of recommendations to address the complexities of retracted research throughout the scholarly communications ecosystem. -/- Results The RISRS recommendations are: (1) Develop a systematic cross-industry approach to ensure the public availability of consistent, standardized, interoperable, and timely information about retractions; (2) Recommend a taxonomy of retraction categories/classifications and corresponding retraction metadata that can be adopted by all stakeholders; (3) Develop best practices for coordinating the retraction process to enable timely, fair, unbiased outcomes; and (4) Educate stakeholders about pre- and post-publication stewardship, including retraction and correction of the scholarly record. -/- Conclusions Our stakeholder engagement study led to 4 recommendations to address inadvertent citation of retracted research, and formation of a working group to develop the Communication of Retractions, Removals, and Expressions of Concern (CORREC) Recommended Practice. Further work will be needed to determine how well retractions are currently documented, how retraction of code and datasets impacts related publications, and to identify if retraction metadata (fails to) propagate. Outcomes of all this work should lead to ensuring retracted papers are never cited without awareness of the retraction, and that, in public fora outside of science, retracted papers are not treated as valid scientific outputs. (shrink)

Some experimental philosophers imply that philosophers should endorse folk intuitions and even use them to advance philosophical theses. In this paper I will try to contrast experimental appeals to intuition with J. L. Austin’s, whom some experimentalists cite as a precursor of their method. I will suggest that Austin evokes ordinary intuitions in order to dismantle philosophical quests. He even suggests (a) that the appeal to ordinary intuitions of the folk can hardly prescribe answers to extraordinary circumstances and (b) that (...) philosophical quests themselves are extraordinary. Therefore, the appeal to folk intuitions cannot prescribe answers to philosophical problems. It can only dissolve philosophical quests; yet, the dismantling of philosophy hardly accords with the experimentalists’ agenda. (shrink)

How can democratic governments be relied upon to achieve adequate political knowledge when they turn over their authority to those of no epistemic distinction whatsoever? This deep and longstanding concern is one that any proponent of epistemic conceptions of democracy must take seriously. While Condorcetian responses have recently attracted substantial interest, they are largely undermined by a fundamental neglect of agenda-setting. I argue that the apparent intractability of the problem of epistemic adequacy in democracy stems in large part (...) from a failure to appreciate the social character of political knowledge. A social point of view brings into focus a number of vital factors that bear on our understanding of democratic epistemology and our assessment of its prospects: the essential role of inclusive deliberation, the public's agenda-setting function, institutional provisions for policy feedback, the independence of expert communities, and the knowledge-pooling powers of markets. (shrink)

It is hard to disagree with the idea of responsible innovation (henceforth, RI), as it enables policy-makers, scientists, technology developers, and the public to better understand and respond to the social, ethical, and policy challenges raised by new and emerging technologies. RI has gained prominence in policy agenda in Europe and the United States over the last few years. And, along with its rising importance in policy-making, there is also a burgeoning research literature on the topic. Given the historical (...) context of which RI emerges, it should not be surprising that the current discourse on RI is predominantly based on liberal democratic values. Yet, the bias towards liberal democratic values will inevitably limit the discussion of RI, especially in the cases where liberal democratic values are not taken for granted. As such, there is an urgent need to return to the normative foundation of RI, and to explore the notion of ‘responsible innovation’ from nonliberal democratic perspectives. Against this background, this paper seeks to demonstrate the problematic consequences of RI solely grounded on or justified by liberal democratic values. This paper will cast the argument in the form of a dilemma to be labelled as The Decent Nonliberal Peoples’ Dilemma and use it to illustrate the problems of the Western bias. (shrink)

Eradicating poverty is one of the prime goals included in the Sustainable Development Goals set by the United Nations in its Post-2015 Development Agenda. Clearly, this is a mission set for the world to achieve but do humans have a moral obligation to fulfill it? In other words, is there a moral obligation on the part of the affluent of the world to help the needy poor? Drawing on the relation between a moral obligation and a moral right, one (...) view is that if there is a moral obligation to help the needy poor of the world, then we can say that those afflicted by severe poverty have a moral right (human right) to be free from poverty. But being an example of a socioeconomic right, it is writ with problems leading some philosophers to doubt that there is such a right. On the other hand, many attempts have been made to justify such a right. The paper looks at some attempts that have been made to justify the existence of such a right on the metaethical principles of justice, humanity and the concepts of karma and dharmic duty. It further delves into the nature of the moral obligation to eradicate poverty where this philosophical exercise provides the vision and the insight into the extent and scope of the mission. Lastly, the paper suggests how in view of the complex theoretical issues involved, one can attempt to generate the conviction that there is a human moral obligation to eradicate poverty. (shrink)

In this article, I present some worries about the possible impact of global efforts to aid the needy in some of the world’s most desperate regions. Among the worries I address are possible unintended negative consequences that may occur elsewhere in a society when aid agencies hire highly qualified local people to promote their agendas; the possibility that foreign interests and priorities may have undue influence on a country’s direction and priorities, negatively impacting local authority and autonomy; and the related (...) problem of outside interventions undermining the responsiveness of local and national governments to their citizens. -/- Another issue I discuss is the possibility that efforts to aid the needy may involve an Each-We Dilemma, in which case conflicts may arise between what is individually rational or moral, and what is collectively rational or moral. Unfortunately, it is possible that if each of us does what we have most reason to do, morally, in aiding the needy, we together will bring about an outcome which is worse, morally, in terms of its overall impact on the global needy. -/- The article ends by briefly noting a number of claims and arguments that I made in my 2017 Uehiro Lectures regarding how good people should respond in a world of need. As I have long argued, I have no doubt that those who are well off are open to serious moral criticism if they ignore the plight of the needy. Unfortunately, however, for a host of both empirical and philosophical reasons, what one should do in light of that truth is much more complex, and murky, than most people have realized. (shrink)

The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more fact-oriented (...) and less theoretical than physics. However, the key leverageable idea is that careful extension of the science of living systems can be more effectively applied to some of our most vexing modern problems than the prevailing scheme, derived from abstractions in physics. While these have some universal application and demonstrate computational advantages, they are not theoretically mandated for the living. A new set of mathematical abstractions derived from biology can now be similarly extended. This is made possible by leveraging new formal tools to understand abstraction and enable computability. [The latter has a much expanded meaning in our context from the one known and used in computer science and biology today, that is "by rote algorithmic means", since it is not known if a living system is computable in this sense (Mossio et al., 2009).] Two major challenges constitute the effort. The first challenge is to design an original general system of abstractions within the biological domain. The initial issue is descriptive leading to the explanatory. There has not yet been a serious formal examination of the abstractions of the biological domain. What is used today is an amalgam; much is inherited from physics (via the bridging abstractions of chemistry) and there are many new abstractions from advances in mathematics (incentivized by the need for more capable computational analyses). Interspersed are abstractions, concepts and underlying assumptions “native” to biology and distinct from the mechanical language of physics and computation as we know them. A pressing agenda should be to single out the most concrete and at the same time the most fundamental process-units in biology and to recruit them into the descriptive domain. Therefore, the first challenge is to build a coherent formal system of abstractions and operations that is truly native to living systems. Nothing will be thrown away, but many common methods will be philosophically recast, just as in physics relativity subsumed and reinterpreted Newtonian mechanics. -/- This step is required because we need a comprehensible, formal system to apply in many domains. Emphasis should be placed on the distinction between multi-perspective analysis and synthesis and on what could be the basic terms or tools needed. The second challenge is relatively simple: the actual application of this set of biology-centric ways and means to cross-disciplinary problems. In its early stages, this will seem to be a “new science”. This White Paper sets out the case of continuing support of Information and Communication Technology (ICT) for transformative research in biology and information processing centered on paradigm changes in the epistemological, ontological, mathematical and computational bases of the science of living systems. Today, curiously, living systems cannot be said to be anything more than dissipative structures organized internally by genetic information. There is not anything substantially different from abiotic systems other than the empirical nature of their robustness. We believe that there are other new and unique properties and patterns comprehensible at this bio-logical level. The report lays out a fundamental set of approaches to articulate these properties and patterns, and is composed as follows. -/- Sections 1 through 4 (preamble, introduction, motivation and major biomathematical problems) are incipient. Section 5 describes the issues affecting Integral Biomathics and Section 6 -- the aspects of the Grand Challenge we face with this project. Section 7 contemplates the effort to formalize a General Theory of Living Systems (GTLS) from what we have today. The goal is to have a formal system, equivalent to that which exists in the physics community. Here we define how to perceive the role of time in biology. Section 8 describes the initial efforts to apply this general theory of living systems in many domains, with special emphasis on crossdisciplinary problems and multiple domains spanning both “hard” and “soft” sciences. The expected result is a coherent collection of integrated mathematical techniques. Section 9 discusses the first two test cases, project proposals, of our approach. They are designed to demonstrate the ability of our approach to address “wicked problems” which span across physics, chemistry, biology, societies and societal dynamics. The solutions require integrated measurable results at multiple levels known as “grand challenges” to existing methods. Finally, Section 10 adheres to an appeal for action, advocating the necessity for further long-term support of the INBIOSA program. -/- The report is concluded with preliminary non-exclusive list of challenging research themes to address, as well as required administrative actions. The efforts described in the ten sections of this White Paper will proceed concurrently. Collectively, they describe a program that can be managed and measured as it progresses. (shrink)

One of the most pressing challenges that occupy the Russellian panpsychist’s agenda is to come up with a way to reconcile the traditional argument from categorical properties (Seager, 2006; Alter & Nagasawa, 2015) with H. H. Mørch’s dispositionalism-friendly argument from the experience of causation (2014, 2018, 2020) — on the way to a unitary, all-encompassing case for the view. In this regard, Mørch claims that, via the commitment to the Identity theory of properties, one can consistently hold both panpsychist (...) arguments without contradiction (2020: 281) — I shall refer to such proposal as Reconciliation. In my paper, I shall argue that this is not the case. To this extent, I will first consider H. Taylor’s argument that the Identity theorists have the exact same resources as the dispositionalists (as, after careful enquiry, their views on the metaphysics of properties turn out to coincide (2018: 1438)), and thus contend that Reconciliation fails to obtain. Then, I will suggest that one can avoid the problem and reconcile the arguments by adopting a different version of the powerful qualities view, namely the Compound view — and thus advance a reformulated version of the claim, i.e. Reconciliation*. Finally, even though pursuing my proposed solution might expose Russellian panpsychism to the risk of epiphenomenalism, I shall conclude that such specific form of epiphenomenalism is a rather benign one, and thus that, via Reconciliation*, the constitution of a unitary case for panpsychism as a positive proposal (and not as a mere alternative to dualism and physicalism) can be achieved. (shrink)

Community and stakeholder support for marine and coastal ecosystem conservation policies is crucial. However, extant multinational studies on climate change-related factors that constrain stakeholders’ willingness to protect the ocean are limited. Therefore, the dataset from 709 marine stakeholders across 42 countries, part of the MaCoBioS project funded by the European Commission, was analyzed using the Bayesian Mindsponge Framework (BMF) method to fill the knowledge gap. The findings reveal that for individuals who think society is doing too much to address climate (...) change, new technologies can solve climate change. Responses to climate change can damage the country’s economy and might not be productive in supporting actions protecting the ocean. Based on the study results, we recommend policymakers raise awareness among individuals engaged in marine and coastal ecosystems about the crucial role of marine protection in combating climate change, taking into account the limitations of technology in solving climate change problems and the inadequacy of current efforts. The findings also provide insights for enhancing the effectiveness of awareness and knowledge-raising campaigns, conservation programs, and eco-surplus culture-building agenda. (shrink)

In this commentary upon the article “Mindfulness in Global Health: Critical Analysis and Agenda”, we articulate how scal-ing mindfulness technologies as multilevel public health interventions requires the framework of embodied cognition for a scientific articulation of the nuanced dynamics of mindfulness as a therapeutic technology. Embodied cognition contends that the body and bodily activity in the world are constitutive facets of mind. Mindfulness understood in terms of its embod-ied, enacted, extended, and embedded dimensions describes a broad set of contemplative (...) practices that utilize the circular structure of embodiment to intervene in the complex feedback structure of the mind–body system, influencing cycles of organismic self-regulation and enactments of self-world perception. We contend that to advance the discussion, initiated by Oman, about mindfulness in public health, attention must be given to reconceiving mind–body linkages, the nature of awareness, and the vital role of non-conceptual direct experience in mindfulness interventions. This provides grounds for reconceiving mindfulness as a skillful mode of embodied social cognition and for recognizing diverse cross-cultural contemplative technologies as useful for adapting mindfulness-based interventions to specific populations needs. We also arrive at a novel model of the decentering skills fostered through mindfulness via non-conceptual attention to the processes underlying cognition. It also models mindfulness-based exposure therapy, understood not behaviorally, but through insights generated via intentionally orienting towards internal representation in order to uncover habituated patterns by which we enact both self and world perception. In this way, we may better articulate the nature of mindfulness and thus its effective application to population-scale problems. (shrink)

Unquestionably, Restorative Justice (hereafter RJ) has finally gathered some real momentum. It has become a sine qua non topic in many national and international policy and statutory agendas. However, as the restorative practice expands to deal with crimes, ages and situations it has never addressed before (at least in its contemporary version), and as its application starts to make sense not only to national but also to regional and international bodies and fora, new theoretical problems are posed. In the fast-growing (...) literature many theories and Schools have been evoked to support RJ's claims. This paper will take the discussion a step back by looking at questions of meta-theoretical character. In particular, the paper will ask: Does RJ have a place in the “world of theories,” and if it does, then what kind of theory is it, and on what level should it be placed? Second, does RJ theory need a philosophy, and why? Finally, how can restorative practices be morally justified? (shrink)

Because psychological studies of attention and cognition are most commonly performed within the strict confines of the laboratory or take cognitively impaired patients as subjects, it is difficult to be sure that resultant models of attention adequately account for the phenomenon of effortless attention. The problem is not only that effortless attention is resistant to laboratory study. A further issue is that because the laboratory is the most common way to approach attention, models resulting from such studies are naturally (...) the most widely propagated, these models naturally tend to be biased toward features of attention most amenable to laboratory study, and these models by their implications set the agenda for future study that leads back to the laboratory. In this self-reinforcing system, features of attention not amenable to laboratory study are naturally neglected by researchers. In this chapter, I suggest an alternative model of attention as a heuristic for opening paths to further profitable research. The features of attention emphasized in this model are not new, but the synthesis is novel and sheds some light on issues relevant to the topic of effortless attention. I begin with the five following observations: -/- 1. One naturally pays attention to a task of current interest. 2. There are (at least) two distinct modes of attention—selective and diffuse. 3. Attention is a constantly shifting avenue for the assimilation of information. 4. Information is not forced in from outside but is captured through internal sensitization. 5. Human information processing is fundamentally syntactic. -/- Combining these five observations yields an explanatory model of attention that is not only consistent with the data from the many studies on attention in recent decades but also allows us to investigate the neglected phenomenon of effortless attention. The model relies on the notions of apertures, draw, and syntax and is explicated by addressing each of the above observations in turn. In the final part of the chapter, I explore how the model expands our understanding of effortless attention. (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...) reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)

In response to rapid technological changes in our society, there are calls by governments and industry for increased training of the workforce. But training alone is not sufficient to ensure success, even if talent, discipline and good fortune are all amply provided. When “training” goals require creativity, or decision making, or moral judgment, then adequate preparation must also include “education” in John Dewey’s sense—that is, imparting abilities to solve new problems and grasp novel meanings. Concluding this small monograph is a (...) proposed research agenda, which includes exploring the crucial role of “intuition” and related processes in abilities to generate hypotheses and solve problems. In its elaboration on the nature and limits of training, compared to education, the discussion includes a Thought Experiment, based on Bernard Suits’ exploration of rules and success in playing games. (shrink)

Reflexive observations and observations of reflexivity: such agendas are by now standard practice in anthropology. Dynamic feedback loops between self and other, cause and effect, represented and representamen may no longer seem surprising; but, in spite of our enhanced awareness, little deliberate attention is devoted to modeling or grounding such phenomena. Attending to both linguistic and extra-linguistic modalities of chiasmus (the X figure), a group of anthropologists has recently embraced this challenge. Applied to contemporary problems in linguistic anthropology, chiasmus functions (...) to highlight and enhance relationships of interdependence or symbiosis between contraries, including anthropology’s four fields, the nature of human being and facets of being human. (shrink)

This paper appears in Earthly Engagements: Reading Sartre after the Holocene, edited by Matthew Ally and Damon Boria. From the introduction: "In Chapter 6, Michael Butler critically examines the misguided effort to shop our way out of climate change problems. After expositions of some key concepts from Sartre's Critique of Dialectical Reason, he criticizes ethical consumerism in a way reminiscent of Sartre's criticism of voting as a trap for fools. His concluding section juxtaposes two competing responses to climate change mitigation (...) as a collective action problem, namely the Nudge Agenda and the Green New Deal.". (shrink)

The engineering knowledge research program is part of the larger effort to articulate a philosophy of engineering and an engineering worldview. Engineering knowledge requires a more comprehensive conceptual framework than scientific knowledge. Engineering is not ‘merely’ applied science. Kuhn and Popper established the limits of scientific knowledge. In parallel, the embrace of complementarity and uncertainty in the new physics undermined the scientific concept of observer-independent knowledge. The paradigm shift from the scientific framework to the broader participant engineering framework entails a (...) problem shift. The detached scientific spectator seeks the ‘facts’ of ‘objective’ reality – out there. The participant, embodied in reality, seeks ‘methods’, about how to work in the world. The engineering knowledge research program is recursively enabling. Advances in engineering knowledge are involved in the unfolding of the nature of reality. Newly understood, quantum uncertainty entails that the participant is a natural inquirer. ‘Practical reason’ is concerned with ‘how we should live’– the defining question of morality. The engineering knowledge research program is selective seeking ‘important truths’, ‘important knowledge’, ‘important methods’ that manifest value, and serve the engineering agenda of ‘the construction of the good.’ The importance of engineering knowledge research program is clear in the new STEM curriculum where educators have been challenged to rethink the relation between science and engineering. A 2015 higher education initiative to integrate engineering colleges into liberal arts and sciences colleges has stalled due to the confusion and conflict between the engineering and scientific representations of knowledge. (shrink)

Over four decades, research and policy have created layers of understandings in the quest for "good" corporate governance. The corporate excesses of the 1970s sparked a search for market mechanisms and disclosure to empower shareholders. The UK-focused problems of the 1990s prompted board-centric, structural approaches, while the fall of Enron and many other companies in the early 2000s heightened emphasis on director independence and professionalism. With the financial crisis of 2007–09, however, came a turn in some policy approaches and in (...) academic literature seeking a different way forward. This paper explores those four phases and the discourse each develops and then links each to assumptions about accountability and cognition. After the financial crisis came pointers in policy and practice away from narrow, rationalist prescriptions and toward what the philosopher Stephen Toulmin calls "reasonableness". Acknowledging that heightens awareness of complexity and interdependence in corporate governance practice. The paper then articulates a research agenda concerning what "reasonably" good corporate governance might entail. (shrink)