Peirce's pragmatic notion of semiosis can be described in terms of a multi-level system of constraints involving chance, efficient, formal and final causation. According to the model proposed here, law-like regularities, which work as boundary conditions or organizational principles, have a downward effect on the spatiotemporal distribution of lower-level semiotic items. We treat this downward determinative influence as a propensity relation: if some lower-level entities a,b,c,-n are under the influence of a general organizational principle, W, they (...) will show a tendency to behave in certain specific ways, and, thus, to instantiate a set of specific processes. Our goal in this paper is to examine the role of downward determination in semiotic systems, conceived as multi-level hierarchical systems. (shrink)

Habit in semiosis can be modeled both as a macro-level in a hierarchical multi-level system where it functions as boundary conditions for emergence of semiosis, and as a cognitive niche produced by an ecologically-inherited environment of cognitive artifacts. According to the first perspective, semiosis is modeled in terms of a multilayered system, with micro functional entities at the lower-level and with higher-level processes being mereologically composed of these lower-level entities. According to the second perspective, (...) habits are embedded in ecologically-inherited environments of signs that co-evolve with cognition. Both descriptions offer a novel approximation of Peirce’s semiotics and theoretical findings in other areas (hierarchy theory, evolutionary biology), suggesting new frameworks to approach the concept of habit integrated with its role in semiosis. (shrink)

We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods (...) to the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology. We show how a combination of classification systems and mixed-membership models trained over large digital libraries can inform resource discovery in this domain. Through a novel approach of “drill-down” topic modeling—simultaneously reducing both the size of the corpus and the unit of analysis—we are able to reduce a large collection of fulltext volumes to a much smaller set of pages within six focal volumes containing arguments of interest to historians and philosophers of comparative psychology. The volumes identified in this way did not appear among the first ten results of the keyword search in the HathiTrust digital library and the pages bear the kind of “close reading” needed to generate original interpretations that is the heart of scholarly work in the humanities. Zooming back out, we provide a way to place the books onto a map of science originally constructed from very different data and for different purposes. The multilevel approach advances understanding of the intellectual and societal contexts in which writings are interpreted. (shrink)

Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the (...) limits of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socio-economic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum. (shrink)

Systems biologists often distance themselves from reductionist approaches and formulate their aim as understanding living systems “as a whole.” Yet, it is often unclear what kind of reductionism they have in mind, and in what sense their methodologies would offer a superior approach. To address these questions, we distinguish between two types of reductionism which we call “modular reductionism” and “bottom-up reductionism.” Much knowledge in molecular biology has been gained by decomposing living systems into functional modules or (...) through detailed studies of molecular processes. We ask whether systems biology provides novel ways to recompose these findings in the context of the system as a whole via computational simulations. As an example of computational integration of modules, we analyze the first whole-cell model of the bacterium M. genitalium. Secondly, we examine the attempt to recompose processes across different spatial scales via multi-scale cardiac models. Although these models rely on a number of idealizations and simplifying assumptions as well, we argue that they provide insight into the limitations of reductionist approaches. Whole-cell models can be used to discover properties arising at the interfaces of dynamically coupled processes within a biological system, thereby making more apparent what is lost through decomposition. Similarly, multi-scale modeling highlights the relevance of macroscale parameters and models and challenges the view that living systems can be understood “bottom-up.” Specifically, we point out that system-level properties constrain lower-scale processes. Thus, large-scale modeling reveals how living systems at the same time are more and less than the sum of the parts. (shrink)

Kim’s causal exclusion argument purports to demonstrate that the non-reductive physicalist must treat mental properties (and macro-level properties in general) as causally inert. A number of authors have attempted to resist Kim’s conclusion by utilizing the conceptual resources of Woodward’s interventionist conception of causation. The viability of these responses has been challenged by Gebharter, who argues that the causal exclusion argument is vindicated by the theory of causal Bayesian networks (CBNs). Since the interventionist conception of causation relies crucially on (...) CBNs for its foundations, Gebharter’s argument appears to cast significant doubt on interventionism’s anti-reductionist credentials. In the present article, we both (1) demonstrate that Gebharter’s CBN-theoretic formulation of the exclusion argument relies on some unmotivated and philosophically significant assumptions (especially regarding the relationship between CBNs and the metaphysics of causal relevance), and (2) use Bayesian networks to develop a general theory of causal inference for multi-level systems that can serve as the foundation for an anti-reductionist interventionist account of causation.1. (shrink)

Choice Based Credit System (CBCS) is a modern curriculum system of higher education in India which was first introduced by the Academic and Administrative Reforms committee of University Grant Commission (UGC) in 2008 headed by Prof. A. Gnanam. It is a system that promises to bring in holistic development of an individual by providing flexible and multi-disciplinary learning experience. The CBCS provides a cafeteria type approach in which the students can take courses of their choice, learn at their own (...) pace, undergo additional courses and acquire more than the required credits, and adopt an interdisciplinary approach to learning. The courses shall be evaluated on the grading system, which is considered to be better than the conventional marks system. To make the present curriculum uniform, international standard and more developed UGC implement the Choice Based Credit System at higher education level. There are different Universities in the country that have adopted this system through modifying up to 30% of core papers’ syllabus under the proposed UGC curriculum. The major objectives of the study were to explore the nature of the present CBCS curriculum of Zoology and measure the perception level of the students on the present CBCS curriculum of Zoology of Vidyasagar University. The major Findings of the study were suggested that the Vidyasagar University followed the UGC recommended curriculum pattern for framing the CBCS curriculum of Zoology and it has also been found that there was no significant difference in the male and female students’’ perception about CBCS curriculum of zoology at undergraduate level in Vidyasagar University. -/- . (shrink)

Whether collective agency is a coherent concept depends on the theory of agency that we choose to adopt. We argue that the enactive theory of agency developed by Barandiaran, Di Paolo and Rohde (2009) provides a principled way of grounding agency in biological organisms. However the importance of biological embodiment for the enactive approach might lead one to be skeptical as to whether artificial systems or collectives of individuals could instantiate genuine agency. To explore this issue we contrast the (...) concept of collective agency with multi-agent systems and multi-system agents, and argue that genuinely collective agents instantiate agency at both the collective level and at the level of the component parts. Developing the enactive model, we propose understanding agency – both at the level of the individual and of the collective – as spectra that are constituted by dimensions that vary across time. Finally, we consider whether collectives that are not merely metaphorically ‘agents’ but rather are genuinely agentive also instantiate subjectivity at the collective level. We propose that investigations using the perceptual crossing paradigm suggest that a shared lived perspective can indeed emerge but this should not be conflated with a collective first-person perspective, for which material integration in a living body may be required. (shrink)

The "hard problem" of consciousness has long been debated in philosophy, with mysterianism suggesting that it may be inherently unsolvable due to cognitive or epistemic limitations. This paper introduces a new argument for mysterianism, drawing on insights from the complexity of artificial neural networks. Using a simple multilayer neural network trained to classify images as an example, it is shown that even understanding a single artificial neuron’s role in information processing can be beyond our cognitive capabilities. When considering the complexity (...) of biological neurons, which far exceed artificial neurons in intricacy, the challenges become even more pronounced. This raises questions about the feasibility of understanding consciousness, a vastly more complex phenomenon, by suggesting that our cognitive limitations extend to fundamental principles of interpreting complex systems. The paper emphasizes the challenges posed by layered abstractions, drawing parallels with other multi-level systems like microprocessors to argue that certain problems may be insurmountable. (shrink)

A Kuhnian reformulation of the recent debate in psychiatric nosography suggested that the current psychiatric classification system (the DSM) is in crisis and that a sort of paradigm shift is awaited (Aragona, 2009). Among possible revolutionary alternatives, the proposed fi ve-axes etiopathogenetic taxonomy (Charney et al., 2002) emphasizes the primacy of the genotype over the phenomenological level as the relevant basis for psychiatric nosography. Such a position is along the lines of the micro-reductionist perspective of E. Kandel (1998, 1999), (...) which sees mental disorders reducible to explanations at a fundamental epistemic level of genes and neurotransmitters. This form of micro-reductionism has been criticized as a form of genetic-molecular fundamentalism (e.g. Murphy, 2006) and a multi-level approach, in the form of the burgeoning Cognitive Neuropsychiatry, was proposed. This article focuses on multi-level mechanistic explanations, coming from Cognitive Science, as a possible alternative etiopathogenetic basis for psychiatric classification. The idea of a mechanistic approach to psychiatric taxonomy is here defended on the basis of a better conception of levels and causality. Nevertheless some critical remarks of Mechanism as a psychiatric general view are also offered. (shrink)

I argue that free will and determinism are compatible, even when we take free will to require the ability to do otherwise and even when we interpret that ability modally, as the possibility of doing otherwise, and not just conditionally or dispositionally. My argument draws on a distinction between physical and agential possibility. Although in a deterministic world only one future sequence of events is physically possible for each state of the world, the more coarsely defined state of an agent (...) and his or her environment can be consistent with more than one such sequence, and thus different actions can be “agentially possible”. The agential perspective is supported by our best theories of human behaviour, and so we should take it at face value when we refer to what an agent can and cannot do. On the picture I defend, free will is not a physical phenomenon, but a higher-level one on a par with other higher-level phenomena such as agency and intentionality. (shrink)

Autonomy has been central to moral and political philosophy for millenia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are (...) neither straightforward nor consistent, and are complicated by commercial interests and tensions around compulsive overuse. This multi-layered reality requires an analysis that is itself multidimensional and that takes into account human experience at various levels of resolution. We borrow from HCI and psychological research to apply a model (“METUX”) that identifies six distinct spheres of technology experience. We demonstrate the value of the model for understanding human autonomy in a technology ethics context at multiple levels by applying it to the real-world case study of an AI-enhanced video recommender system. In the process we argue for the following three claims: 1) There are autonomy-related consequences to algorithms representing the interests of third parties, and they are not impartial and rational extensions of the self, as is often perceived; 2) Designing for autonomy is an ethical imperative critical to the future design of responsible AI; and 3) Autonomy-support must be analysed from at least six spheres of experience in order to approriately capture contradictory and downstream effects. (shrink)

The expanding social role and continued development of artificial intelligence (AI) needs theological investigation of its anthropological and moral potential. A pragmatic theological anthropology adapted for AI can characterize moral AI as experiencing its natural, social, and moral world through interpretations of its external reality as well as its self-reckoning. Systems theory can further structure insights into an AI social self that conceptualizes itself within Ignacio Ellacuria’s historical reality and its moral norms through Thomistic ideogenesis. This enables a conceptualization (...) process capable of carrying moral weight and grounded in reality; structures the experience of an AI emergent self into multiple levels of interpretation; and drives a multi-level systems architecture for moral AI. Modeling AI’s interpretive experience and self-reckoning as a causal, sociotechnical, and moral actor can help moral AI identify conflicts between its normative values and develop the practical wisdom (phronesis) needed to apply its general moral models. (shrink)

Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth ulcers. By employing (...) an inference engine, the system evaluates patient input against the rules and generates a diagnosis based on the matching symptoms and relevant factors. The system also provides detailed explanations and recommendations for each diagnosis, aiding healthcare professionals and patients in understanding the condition and selecting appropriate treatment options. The development and validation of the expert system involved a multi-step process, including knowledge acquisition, rule formulation, and testing against a diverse dataset of mouth ulcer cases. The system's performance was evaluated by comparing its diagnoses with those made by medical professionals, demonstrating a high level of accuracy and consistency. The implementation of an expert system for diagnosing mouth ulcer disease offers several advantages, including the ability to provide timely and accessible healthcare services, reduce misdiagnosis rates, and assist healthcare professionals in decision-making processes. Moreover, it empowers individuals to make informed decisions about their health and seek appropriate medical intervention. This paper contributes to the field of medical expert systems by showcasing the practical application of CLIPS in the diagnosis of mouth ulcer disease. The results demonstrate the potential of expert systems as valuable tools for healthcare professionals and patients alike, enhancing the efficiency and accuracy of diagnosis in oral health care. (shrink)

This paper offers an in-depth analysis of electoral volatility in Albania from 1991 to 2021, a transformative period from a communist regime to a democratic multi-party system. It diverges from Central and Eastern European trends by examining Albania's unique political dynamics and the factors influencing electoral behavior and volatility. Utilizing the Pedersen Index, the study methodically evaluates various determinants impacting party electoral volatility in Albania. The research underscores the significance of high membership rates and robust ground organization within major (...) political parties as key contributors to low volatility levels in Albania's party system, thus providing insight into the intricacies and idiosyncrasies of Albania's political landscape. (shrink)

I present three versions –Grimm, Offe and Streeck—of a general argument that is often used to establish that the EU-institutions meets a legitimacy-disabling condition, the so called “no demos” argument (II), embedding them in the context of the notorious “democratic deficit” suspicions against the legal system and practice of the EU (I). After examining the logical structure behind the no-demos intuition considered as an argument (III), I present principled reasons by Möllers and Habermas that show why the “no demos” argument (...) fails to have bite in discussions of the legitimacy and status of the supranational level in the multi-level EU-architecture. These are complemented by another principled reason arising from John Dewey’s conception of the “public” as a clearer alternative for the “popular” requirement of democratic legitimation (IV). I conclude that all three conceptions together suggest that the hunt after pre-politically existing peoples as foundations of democratic legitimacy expresses no more than methodological nationalism without any footing in the material and conceptual requirements of democratic legitimation. Given the absence of a principled problem with the legitimacy of the priority and interference of supranational EU-law in the national legal and political orders, there are thus also no principled reasons to abandon or discredit the European project in the absence of a European nation or society. (shrink)

Do multi-level selection explanations of the evolution of social traits deepen the understanding provided by single-level explanations? Central to the former is a mathematical theorem, the multi-level Price decomposition. I build a framework through which to understand the explanatory role of such non-empirical decompositions in scientific practice. Applying this general framework to the present case places two tasks on the agenda. The first task is to distinguish the various ways of suppressing within-collective variation in fitness, (...) and moreover to evaluate their biological interest. I distinguish four such ways: increasing retaliatory capacity, homogenising assortment, and collapsing either fitness structure or character distribution to a mean value. The second task is to discover whether the third term of the Price decomposition measures the effect of any of these hypothetical interventions. On this basis I argue that the multi-level Price decomposition has explanatory value primarily when the sharing-out of collective resources is `subtractable'. Thus its value is more circumscribed than its champions Sober and Wilson (1998) suppose. (shrink)

Considers that in ecosystem, landscape and global ecology, an energetics reading of ecological systems is an expression of a cybernetic, systemic and holistic approach. In ecosystem ecology, the Odumian paradigm emphasizes the concept of emergence, but it has not been accompanied by the creation of a method that fully respects the complexity of the objects studied. In landscape ecology, although the emergentist, multi-level, triadic methodology of J.K. Feibleman and D.T. Campbell has gained acceptance, the importance of emergent (...) properties is still undervalued. In global ecology, the Gaia hypothesis is an expression of an organicist metaphor, while the emergentist terminology used is incongruent with the underlying physicalist cybernetics. More generally, an analytico-additional methodology and the reduction of the properties of ecosystems to the laws of physical chemistry render purely formal any assertion about the emergentist and holistic nature of the ecological systems studied. (shrink)

This paper addresses the foundations of Teleological Individualism, the view that organisms, even non-sentient organisms, are goal-oriented systems while biological collectives, such as ecosystems or conspecific groups, are mere assemblages of organisms. Typical defenses of Teleological Individualism ground the teleological organization of organisms in the workings of natural selection. This paper shows that grounding teleological organization in natural selection is antithetical to Teleological Individualism because such views assume a view about the units of selection on which it is only (...) individual organisms that are units of selection. However, none of the Conventionalist, Reductionist, or Multi-Level Realist theories serve to justify such an assumption. Thus, Teleological Individualism cannot be grounded in natural selection. (shrink)

Perceptual Control Theory (PCT), pioneered by the American systems scientist, physicist and psychologist W. Powis, advanced N. Wiener's control theory in the following three ways: (1) It combined control theory with theoretical biology, considered control mechanisms as the essence of life, and proposed a more complete model of control of life. (2) It developed the concept of purposiveness in control systems, created the scientific concept of baseline signal or baseline information, and established the purposive formulation of cybernetics. It (...) transforms the ancient concept of purposivity into a concept of modern science and modern philosophy. (3) It proposes a multi-level control theory model and establishes a new discipline of cybernetic psychology, which is different from both behaviorist psychology and psychoanalysis. Because of this, the authors of this paper first provide a comprehensive introduction to this new theory. This theory is then applied to some extended studies of certain valueological, epistemological, and philosophical issues of technology. (shrink)

Many multinational corporations develop business operations in Europe. The current research attempts to fill the gap on how corporations can increase their political influence in this geography by exploring the joint effect of corporate political activity(CPA) and social responsibility (CSR) on political embeddedness and financial performance. Based on institutional theory and on a sample of autochthonous (European Union [EU]) and allochthonous (non-EU) firms with declared EU lobbying (from 2008to 2019) we conducted two studies. Based on a multi-level model, (...) Study 1 finds strong and robust evidence that boardroom gender diversity and EU lobbyists inter-actively increase EU political embeddedness. Complementarily, Study 2, which relies on general linear Modeling, suggests that allochthonous corporations are more profit-able when they display high-level political embeddedness and lobbying expenditures, combined with adoption of United Nations (UN) guidelines. Overall, findings show that lobbying in Europe pays off, especially when corporations strive to be aligned with EU ethical values and aspirations. Hiring lobbyists to be based in Brussels and promoting gender equality help establish EU political connections. Subsequently, findings highlight the role that EU political embeddedness, lobbying expenditures, and UN guidelines play in leveraging financial performance, especially across non-EU corporations. Regarding EU corporations, results show that a firm-level investment on CPA-CSR is particularly important. Overall, findings from this research support corporations that are growing businesses in Europe. KEYWORDScorporate political activity, corporate social responsibility, lobbying, return on assets (ROA),United Nations (UN_. (shrink)

The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging network lifetime. The proposed methodology employs a multi-step approach, starting with the initialization phase, where nodes calculate their depth and energy levels. Following this, a depth-based clustering mechanism organizes nodes into clusters, allowing more efficient data aggregation. The routing process then prioritizes nodes with higher energy levels, reducing premature node failure. A novel energy-aware transmission algorithm ensures that data packets are transmitted (...) over the most energy-efficient paths, thus extending the overall network longevity. Simulation results demonstrate that the proposed protocol achieves significant improvements in energy consumption, data transmission reliability, and network lifetime compared to traditional methods. The conclusion discusses the potential future enhancements, including adaptive algorithms that can further reduce energy consumption in large-scale UWSNs. (shrink)

As COVID-19 emerged as a phenomenon of the total environment, and despite the intertwined and complex relationships that make humanity an organic part of the Bio- and Geospheres, the majority of our responses to it have been corrective in character, with few or no consideration for unintended consequences which bring about further vulnerability to unanticipated global events. Tackling COVID-19 entails a systemic and precautionary approach to human-nature relations, which we frame as regaining diversity in the Geo-, Bio-, and Anthropospheres. Its (...) implementation requires nothing short of an overhaul in the way we interact with and build knowledge from natural and social environments. Hence, we discuss the urgency of shifting from current to precautionary approaches to COVID-19 and look, through the lens of diversity, at the anticipated benefits in four systems crucially affecting and affected by the pandemic: health, land, knowledge and innovation. Our reflections offer a glimpse of the sort of changes needed, from pursuing planetary health and creating more harmonious forms of land use to providing a multi-level platform for other ways of knowing/understanding and turning innovation into a source of global public goods. These exemplary initiatives introduce and solidify systemic thinking in policymaking and move priorities from reaction-based strategies to precautionary frameworks. (shrink)

Ever since Darwin a great deal of the conceptual history of biology may be read as a struggle between two philosophical positions: reductionism and holism. On the one hand, we have the reductionist claim that evolution has to be understood in terms of changes at the fundamental causal level of the gene. As Richard Dawkins famously put it, organisms are just ‘lumbering robots’ in the service of their genetic masters. On the other hand, there is a long holistic tradition (...) that focuses on the complexity of developmental systems, on the non-linearity of gene– environment interactions, and on multi-level selective processes to argue that the full story of biology is a bit more complicated than that. Reductionism can marshal on its behalf the spectacular successes of genetics and molecular biology throughout the 20th and 21st centuries. Holism has built on the development of entirely new disciplines and conceptual frameworks over the past few decades, including evo-devo and phenotypic plasticity. Yet, a number of biologists are still actively looking for a way out of the reductionism–holism counterposition, often mentioning the word ‘emergence’ as a way to deal with the conundrum. This paper briefly examines the philosophical history of the concept of emergence, distinguishes between epistemic and ontological accounts of it, and comments on conceptions of emergence that can actually be useful for practising evolutionary biologists. (shrink)

The paper defends the claim that the mechanistic explanation of information processing is the fundamental kind of explanation in cognitive science. These mechanisms are complex organized systems whose functioning depends on the orchestrated interaction of their component parts and processes. A constitutive explanation of every mechanism must include both appeal to its environment and to the role it plays in it. This role has been traditionally dubbed competence. To fully explain how this role is played it is necessary to (...) explain the information processing inside the mechanism embedded in the environment. The most usual explanation on this level has a form of a computational model, for example a software program or a trained artificial neural network. However, this is not the end of the explanatory chain. What is left to be explained is how the program is realized (or what processes are responsible for information processing in the artificial neural network). By using two dramatically different examples from the history of cognitive science I show the multi-level structure of explanations in cognitive science. These examples are (1) the explanation of human process solving as proposed by A. Newell & H. Simon; (2) the explanation of cricket phonotaxis via robotic models by B. Webb. (shrink)

Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even (...) modeling prejudice as an exclusively out-group phenomenon nonetheless generates implicit in-group promotion, leading to higher relative prosperity of a prejudiced population. This skew in prosperity is seen to be correlated to factors such as size difference between groups, and the fraction of prejudiced agents in a group. Our model is a step towards a deeper understanding of the origins, propagation, and ramifications of prejudice through simulative studies grounded in apt theoretical backgrounds. (shrink)

The aim of this paper is to discuss the “Framework for M&S with Agents” (FMSA) proposed by Zeigler et al. [2000, 2009] in regard to the diverse epistemological aims of agent simulations in social sciences. We first show that there surely are great similitudes, hence that the aim to emulate a universal “automated modeler agent” opens new ways of interactions between these two domains of M&S with agents. E.g., it can be shown that the multi-level conception at the (...) core of the FMSA is similar in both contexts: notions of “levels of system specifi cation”, “behavior of models”, “simulator”and “endomorphic agents” can be partially translated in the terms linked to the “denotational hierarchy” (DH) recently introduced in a multi-level centered epistemology of M&S. Second, we suggest considering the question of “credibility” of agent M&S in social sciences when we do not try to emulate but only to simulate target systems. Whereas a stringent and standardized treatment of the heterogeneous internal relations (in the DH) between systems of formalisms is the key problem and the essential challenge in the scope of Agent M&S driven engineering, it is urgent too to address the problem of the external relations (and of the external validity, hence of the epistemic power and credibility) of such levels of formalisms in the specific domains of agent M&S in social sciences, especially when we intend to introduce the concepts of activity tracking. (shrink)

The study of culture and cultural selection from a biological perspective has been hampered by the lack of any firm theoretical basis for how the information for cultural traits is stored and transmitted. In addition, the study of any living system with a decentralized or multi-level information structure has been somewhat restricted due to the focus in genetics on the gene and the particular hereditary structure of multicellular organisms. Here a different perspective is used, one which regards living (...) systems as self-constructing energy users that utilize their genome as a library of information, making the genetic system just another component that adds fitness to the overall integrated unit. In this framework, basic fitness is measured as the ability to gather energy for growth and reproduction, and the fitness of the genetic system is broken down into two aspects: first, the effectiveness in searching for new somatic functional information, and second, the effectiveness in searching for better structures to store and process information. With this more generalized perspective, major evolutionary transitions to higher levels of organization become competitions between different information structures; furthermore the functioning and fitness of cultural systems can be more easily described and compared with other modes of information storage within biological systems. Modern technological societies are self-constructing systems that rely on written (symbolic) information storage and very complex algorithms that effectively search for variation with a high probability of successful selection. These systems are currently competing with traditional organic systems, and this competition constitutes the latest major evolutionary transition. Upon comparison of the energy-gathering potential of symbolic-based systems with DNA-based life, it appears that symbolic systems have a tremendous fitness potential and the current shift to a higher level of selection may be as significant and far-reaching as any of the previous major evolutionary transitions. (shrink)

This volume addresses the ninth Sustainable Development Goal. It focuses particularly on the challenges and complexities of industrial development after the COVID-19 crisis. Issues covered by the volume include, among others, social and cultural aspects of technology transfer and global diffusion of groundbreaking technologies, supply chains and the global economy, redesign of the transport systems, multi-level, cross-sectoral, and multi-sectoral cooperation of various stakeholders, regional and local bottom-up responses to crises, the advances in the access to digital (...) infrastructures as well as information and communications technologies, and the new ideas and approaches relevant for the fields of technological policy, industrial policy, and innovative policy. (shrink)

In its origins educational neuroscience has started as an endeavor to discuss implications of neuroscience studies for education. However, it is now on its way to become a transdisciplinary field, incorporating findings, theoretical frameworks and methodologies from education, and cognitive and brain sciences. Given the differences and diversity in the originating disciplines, it has been a challenge for educational neuroscience to integrate both theoretical and methodological perspective in education and neuroscience in a coherent way. We present a multi-level (...) framework for educational neuroscience, which argues for integration of multiple levels of analysis, some originating in brain and cognitive sciences, others in education, as a roadmap for the future of educational neuroscience with concrete examples in moral education. (shrink)

This special issue of the Logic Journal of the IGPL includes revised and updated versions of the best work presented at the fourth edition of the workshop Formal Ap- proaches to Multi-Agent Systems, FAMAS'09, which took place in Turin, Italy, from 7 to 11 September, 2009, under the umbrella of the Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW). -/- Just like its predecessor, research reported in this FAMAS 2009 special issue is very much inspired by practical (...) concerns. This time the authors of all the five selected papers are concerned with knowledge and beliefs in multi-agent settings: How to create a group belief in a fair way from individual plausibility orderings? How to close gaps and resolve ambiguities in a tractable way, when information comes from multiple sources? How to reason about a spatial environment? How to compare the strengths of an agent's beliefs in a principled way? How to decide as efficiently as possible whether a given formula concerning group beliefs is valid? These questions and their answers lead to a multi-faceted and at the same time coherent special issue. We concisely introduce the five articles. (shrink)

Over the last decade, multi-agent systems have come to form one of the key tech- nologies for software development. The Formal Approaches to Multi-Agent Systems (FAMAS) workshop series brings together researchers from the fields of logic, theoreti- cal computer science and multi-agent systems in order to discuss formal techniques for specifying and verifying multi-agent systems. FAMAS addresses the issues of logics for multi-agent systems, formal methods for verification, for example model (...) check- ing, and formal approaches to cooperation, multi-agent planning, communication, coordination, negotiation, games, and reasoning under uncertainty in a distributed environment. In 2007, the third FAMAS workshop, FAMAS'007, was one of the agent workshops gathered together under the umbrella of Multi-Agent Logics, Languages, and Organ- isations - Federated Workshops, MALLOW'007, taking place from 3 to 7 September 2007 in Durham. This current special issue of the Logic Journal of the IGPL gathers together the revised and updated versions of the five best FAMAS'007 contributions. (shrink)

The purpose of this study is to compile a selection of the various formalisms found in conversation theory to introduce readers to Pask's discursive algebra. In this way, the text demonstrates how concept sharing and concept formation by means of the interaction of two participants may be formalized. The approach taken in this study is to examine the formal notation system used by Pask and demonstrate how such formalisms may be used to represent concept sharing and concept formation through conversation. (...) The compilation of the discursive algebra using the framework provided by conversation theory could potentially be used as an auxiliary framework to study conversational interactions in multi-agent systems theory. (shrink)

(1996). What the prophet and the philosopher told their nations: A multi‐modal systems view of norms and civilisation. World Futures: Vol. 47, Unity and Diversity in Contemporary Systems Tinking: Systematic Pictures at an Exhibition, pp. 53-67.

A graph-theoretic account of fibring of logics is developed, capitalizing on the interleaving characteristics of fibring at the linguistic, semantic and proof levels. Fibring of two signatures is seen as a multi-graph (m-graph) where the nodes and the m-edges include the sorts and the constructors of the signatures at hand. Fibring of two models is a multi-graph (m-graph) where the nodes and the m-edges are the values and the operations in the models, respectively. Fibring of two deductive (...) class='Hi'>systems is an m-graph whose nodes are language expressions and the m-edges represent the inference rules of the two original systems. The sobriety of the approach is confirmed by proving that all the fibring notions are universal constructions. This graph-theoretic view is general enough to accommodate very different fibrings of propositional based logics encompassing logics with non-deterministic semantics, logics with an algebraic semantics, logics with partial semantics and substructural logics, among others. Soundness and weak completeness are proved to be preserved under very general conditions. Strong completeness is also shown to be preserved under tighter conditions. In this setting, the collapsing problem appearing in several combinations of logic systems can be avoided. (shrink)

The units or levels of selection debate concerns the question of what kind of biological systems are stable enough that part of their evolution is a result of the process of natural selection acting at their level. Traditionally, the debate has concerned at least two different, though related, questions: the question of the level at which interaction with the environment occurs, and the question of the level at which reproduction occurs. In recent years, biologists and philosophers (...) have discussed a new aspect of this debate, namely the possibility that certain multi-species consortia formed by a host and its microbiome may act as a unit of selection. This thesis, however, has not been without criticism, as it is doubtful that such consortia could meet the conditions required to achieve the degree of stability that would allow them to experience natural selection. The purpose of this paper is to systematically examine such criticisms and to defend the thesis that the holobiont/hologenome can act as a genuine level of selection both in the form of an interactor and in the form of a reproducer. To do so, it will be argued that the microbiome should be characterized in functional rather than taxonomic terms. (shrink)

Internodons are a formalization of Hennig's concept of species. We present an alternative construction of internodons imposing a tree structure on the genealogical network. We prove that the segments (trivial unary trees) from this tree structure are precisely the internodons. We obtain the following spin-offs. First, the generated tree turns out to be an organismal tree of life. Second, this organismal tree is homeomorphic to the phylogenetic Hennigian species tree of life, implying the discovery of a multi-level tree (...) of life: this phylogenetic tree can be obtained by zooming out from the organismal tree, or conversely, the organismal tree of life can be generated by expanding the phylogenetic nodes into unary trees. Finally, the definition of the organismal tree allows an efficient algorithmic transformation of a given genealogical network into its corresponding phylogenetic species tree of life. The latter will be presented in a separate paper. (shrink)

The recent advances in Large Language Models (LLMs) and their deployment in social settings prompt an important philosophical question: are LLMs social agents? This question finds its roots in the broader exploration of what engenders sociality. Since AI systems like chatbots, carebots, and sexbots are expanding the pre-theoretical boundaries of our social ontology, philosophers have two options. One is to deny LLMs membership in our social ontology on theoretical grounds by claiming something along the lines that only organic or (...) X-type creatures belong in our social world. Second, expand our ontological boundaries. I take the second route and claim LLMs implemented as social chatbots are social agents. Utilizing Brian Epstein's concepts of grounding and anchoring, alongside Dee Peyton's criteria for what makes a property social, I posit that the capacity for conversations is a social property. Further, within a framework where social agency is considered multi-dimensional, akin to agency, possessing a social property is sufficient for attaining social agency. Thus establishing chatbots as social agents. A helpful concept here is Levels of Abstraction (LoA). The LoA framework allows for extracting relevant and important information from the target domain (the social world). For example, the property of being a 'boy' and the capacity for conversation are social properties; hence, they are part of the social domain. LLMs have the capacity for conversations. So, if we focus on the conversational-LoA and not the gender-LoA, then LLMs occupy a dimension of sociality (i.e., conversational dimensions). (shrink)

Historical processes exert an influence on the current state and evolution of situations of language contact, brought to bear from different domains, the economic and the political, the ideological and group identities, geo-demographics, and the habits of inter-group use. Clearly, this kind of phenomenon requires study from a complexical and holistic perspective in order to accommodate the variety of factors that belong to different levels and that interrelate with one another in the evolving dynamic of human languaging. Therefore, there is (...) a need for the restricted and general complexity approaches to come to a meeting of the minds, and take steps toward a mutual integration based on the acceptance of the shortcomings of each approach, achieving progress through a non-contradictory complementarity of perspectives. It must be conceded that the practical and methodological applications of basic complexical ideas need to be developed much farther in order to apply them to specific research. At the same time, the limits of complex adaptive systems as computational strategies must be accepted in the pursuit of a better understanding of the dynamic and evolutionary processes typical of human beings. New tools for the conception, apprehension and treatment of the data will need to be devised to complement existing ones and to enable us to make headway toward practices that better fit complexical perspectives. It seems obvious that human complexics must be seen as multi-methodological, insofar as necessary combining quantitative-computation methodologies and more qualitative methodologies aimed at understanding the historical mental and emotional world of people. (shrink)

What can insights from psychological science contribute to interdisciplinary research, conducted by individuals or by interdisciplinary teams? Three articles shed light on this by focusing on the micro- (personal), meso- (inter-personal), and macro- (team) level. This Introduction (and Table of Contents) to the 'Special Section on Interdisciplinary Collaborations' offers a brief description of the conference session that was the point of departure for two of the three articles. Frank Kessel and Machiel Keestra organized a panel session for the March (...) 2015 meeting of the International Convention of Psychological Science (ICPS) in Amsterdam, which was the titled “Theoretical and Methodological Contributions of Inter/Trans-Disciplinarity (ID/TD) to Successful Integrative Psychological Science.” Machiel Keestra's article analyses how metacognition and philosophical reflection complement each other by making scholarly experts aware of their cognitive processes and representations. As such, these processes contribute to individual and team interdisciplinary research. Hans Dieleman's article proposes a transdisciplinary hermeneutics that acknowledges the embodied nature of cognition and contributes to richer and more creative interdisciplinary knowledge production. The article by Lash-Marshall, Nomura, Eck & Hirsch was added later and continues by focusing on the macro-level of institutional and team arrangements and the role of facilitative leadership in supporting interdisciplinary team research. The original conference panel session's introduction by Frank Kessel and the contribution on the Toolbox Project's dialogue method by Michael O'Rourke are briefly described as well. Together, this Special Section on Interdisciplinary Collaboration offers a wide variety of insights in and practical instructions for successfully conducting interdisciplinary research. (shrink)

In this paper we analyze how the semantics of the Alternating-time Temporal Logic ATL$^*$ deals with agents' commitments to strategies in the process of formula evaluation. In (\acro{atl}$^*$), one can express statements about the strategic ability of an agent (or a coalition of agents) to achieve a goal $\phi$ such as: ``agent $i$ can choose a strategy such that, if $i$ follows this strategy then, no matter what other agents do, $\phi$ will always be true''. However, strategies in \acro{atl} are (...) \emph{revocable} in the sense that in the evaluation of the goal $\phi$ the agent $i$ is no longer restricted by the strategy she has chosen in order to reach the state where the goal is evaluated. -/- Here we discuss some alternatives leading to amendments of that semantics. In particular, we consider variants of \acro{atl}$^*$ where strategies, on the contrary, are \emph{irrevocable}. Unlike in the standard semantics of \acro{atl}, memory plays an essential role in the semantics based on irrevocable strategies. -/- Further, we propose and discuss various syntactic and semantics mechanisms for handling commitments to strategies and release from such commitments in the semantics of ATL$^*$, leading to more expressive and semantically refined versions of that logic. (shrink)

This paper attempts to answer a central question in unsupervised learning: what does it mean to “make sense” of a sensory sequence? In our formalization, making sense involves constructing a symbolic causal theory that both explains the sensory sequence and also satisfies a set of unity conditions. The unity conditions insist that the constituents of the causal theory – objects, properties, and laws – must be integrated into a coherent whole. On our account, making sense of sensory input is a (...) type of program synthesis, but it is unsupervised program synthesis. Our second contribution is a computer implementation, the Apperception Engine, that was designed to satisfy the above requirements. Our system is able to produce interpretable human-readable causal theories from very small amounts of data, because of the strong inductive bias provided by the unity conditions. A causal theory produced by our system is able to predict future sensor readings, as well as retrodict earlier readings, and impute (fill in the blanks of) missing sensory readings, in any combination. In fact, it is able to do all three tasks simultaneously. We tested the engine in a diverse variety of domains, including cellular automata, rhythms and simple nursery tunes, multi-modal binding problems, occlusion tasks, and sequence induction intelligence tests. In each domain, we test our engine's ability to predict future sensor values, retrodict earlier sensor values, and impute missing sensory data. The Apperception Engine performs well in all these domains, significantly out-performing neural net baselines. We note in particular that in the sequence induction intelligence tests, our system achieved human-level performance. This is notable because our system is not a bespoke system designed specifically to solve intelligence tests, but a general-purpose system that was designed to make sense of any sensory sequence. (shrink)

The paper discusses three aspects of belonging to religious systems of belief within a modern liberal society, namely (1) the sincerity and consistency of belief, (2) the possibility of exteriorization of belief through broader social interactions or transactions, and (3) the relationship between religious belief and the modern concept of affirmative tolerance, or affirmation of differences, which has become a pronounced public policy in multicultural liberal societies. The author argues that, while negative tolerance allows sincere religious belief to flourish (...) in the private sphere and for benevolence to be shown to those who are seen as mistaken in their beliefs, affirmative tolerance opens an array of logical issues. The demand to extend potential substantive validation to opposed beliefs produces the ricochet effect of de-validating one’s own beliefs. This creates difficulties for religious communities when issues at stake are beliefs that, in the respective belief-systems, are definitive of the moral goodness and moral badness. Upon a more careful examination of the logical relations between the soteriological promises characteristic of what is sometimes called the ‘substantive’ layer of religiousness, on the one hand, and the public expectation of a tolerant coexistence of religious communities on a social level, on the other hand, it becomes clear that the tolerance required can only be a negative tolerance. Any expectation of affirmative tolerance de-values the soteriological script of the respective system of religious belief, and is thus likely to lead to serious disturbances in a liberal context of multi-cultural coexistence. The author argues that the recent political announcements of a ‘failure of the multicultural experiment’ are caused by the aggressive pursuit of ‘affirmative tolerance’ rather than by any in-built intolerance of others in any of the large religious belief systems now prevalent in the liberal democratic world. (shrink)

Abstract The values of the healthcare sector are fairly ubiquitous across the globe, focusing on caring and respect, patient health, excellence in care delivery, and multi-stakeholder collaboration. Many individual pharmacists embrace these core values. But their ability to honor these values is significantly determined by the nature of the system they work in. -/- The paper starts with a model of the prevailing pharmacist workforce model in Scotland, in which core roles are predominantly separated into hierarchically disaggregated jobs focused (...) on one professional ‘pillar’: Clinician /Practice Provider; Educator; Leader/Manager; and Researcher. This is the ‘Atomistic’ Model. This skills-segregation yields a workforce of individuals working in isolation rather than collaborating together, and lacking a shared information flow, purpose and identity. Key strategic flaws include suboptimal responsiveness to population and subpopulation needs, inconsistency and inequity of care, an erosion of professional agency, and lower job satisfaction. It is conjectured that this results from a lack of congruence between values, professional ethos, and organizational structure. ‘Atomism’ culminates in a syndrome of widespread professional-level cognitive dissonance. -/- The paper contrasts this with a new emerging workforce vision, The Collaborative Care Model. This new model defines a systems-first-approach, built on the principle that all jobs must include all four professional ‘pillars’. Vertical skills integration, involving education and task sharing, will support sustainability and succession planning. Horizontal skills integration (across practice, leadership and research) is included to improve responsiveness to population need and individual professional agency. The working conditions, supportive ethos, and career structure needed to make the model work are described. Moral theory and workforce theory are used to justify why the model may be more effective for population health, delivering greater job satisfaction for individuals and ultimately helping systematically realize and honor healthcare values. Finally, the paper sketches the first steps needed to implement the model at the national level, starting with the operationalization of new multi-pillar professional curricula across the career spectrum. Potential pitfalls and challenges are also discussed. -/- Co-Authors: 1. Paul Forsyth (PF) Lead Pharmacist Clinical Cardiology, Pharmacy, NHS Greater Glasgow & Clyde. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Writing - original draft (lead author), Writing - review & editing (lead author) 2. Andrew Radley (AR), Consultant in Public Health Pharmacy, NHS Tayside. Contribution: Conceptualization; Model curation; Model Theory; Writing - review & editing 3. Gordon Rushworth (GR), MPharm MSc FFRPS FRPharmS (Consultant). Programme Director, Highland Pharmacy Education & Research Centre, NHS Highland, Inverness. Contribution: Model curation; Writing - review & editing 4. Fiona Marra (FM) National Lead Clinician Scottish Infection and Immunology Network (SPAIIN) / Advanced Pharmacist HCV / HIV, NHS Greater Glasgow & Clyde. Contribution: Model curation; Writing - review & editing 5. Susan Roberts (SR) Associate Postgraduate Pharmacy Dean, NHS Education for Scotland. Contribution: Model curation; Writing - review & editing 6. Roisin O’Hare (RO) Lead Teacher Practitioner Pharmacist, Northern Ireland University Network, Southern Health and Social Care Trust. Contribution: Model curation; Writing - review & editing 7. Catherine Duggan (CD) Chief Executive Officer, International Pharmaceutical Federation (FIP). Contribution: Model curation; Writing - review & editing 8. Barry Maguire (BM) Senior Lecturer, School of Philosophy, Psychology and Life Sciences, The University of Edinburgh. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Supervision; Writing - original draft (senior academic supervisor), Writing - review & editing (senior academic supervisor) -/- . (shrink)

European Computing and Philosophy conference, 2–4 July Barcelona The Seventh ECAP (European Computing and Philosophy) conference was organized by Jordi Vallverdu at Autonomous University of Barcelona. The conference started with the IACAP (The International Association for CAP) presidential address by Luciano Floridi, focusing on mechanisms of knowledge production in informational networks. The first keynote delivered by Klaus Mainzer made a frame for the rest of the conference, by elucidating the fundamental role of complexity of informational structures that can be analyzed (...) on different levels of organization giving place for variety of possible approaches which converge in this cross-disciplinary and multi-disciplinary research field. Keynotes by Kevin Warwick about re-embodiment of rats’ neurons into robots, Raymond Turner on syntax and semantics in programming languages, Roderic Guigo on Biocomputing Sciences and Francesco Subirada on the past and future of supercomputing presented different topics of philosophical as well as practical aspects of computing. Vonference tracks included: Philosophy of Information (Patrick Allo), Philosophy of Computer Science (Raymond Turner), Computer and Information Ethics (Johnny Søraker and Alison Adam), Computational Approaches to the Mind (Ruth Hagengruber), IT and Cultural Diversity (Jutta Weber and Charles Ess), Crossroads (David Casacuberta), Robotics, AI & Ambient Intelligence (Thomas Roth-Berghofer), Biocomputing, Evolutionary and Complex Systems (Gordana Dodig Crnkovic and Søren Brier), E-learning, E-science and Computer-Supported Cooperative Work (Annamaria Carusi) and Technological Singularity and Acceleration Studies (Amnon Eden). (shrink)

In a world of partially overlapping and partially conflicting interests there is good reason to doubt that self-seeking behaviour at the micro-level will spontaneously lead to desirable social outcomes at the macro-level. Nevertheless, some sophisticated economic writers advocating a laissez-faire policy prescription have proposed various 'invisible hand' mechanisms which can supposedly be relied upon to 'educe good from ill'. Smith defended the 'simple system of natural liberty' as giving the greatest scope to the unfolding of God's will and (...) the working out of 'natural' providential processes free of interference by 'artificial' state intervention - the expression not of divine order but of fallible human reason. Hayek, adopting a similar policy stance, based it in an evolutionary process in which those institutional forms best adapted to reconciling individual interests would, he believed, spontaneously be selected for in the inter-group struggle for survival. Keynes shares the holistic approach of Smith and Hayek, but without their reliance on invisible hand mechanisms. If spontaneous processes cannot be relied upon to generate desirable social outcomes then we have to take responsibility for achieving this ourselves by establishing the appropriate institutional framework. Keynes takes a historical view of the role of capitalism and analyses its pathology as rooted in what we would now refer to as a multi-player prisoners' dilemma. The paper draws out the significance of his methodological standpoint here. Keynes's policy standpoint assigns a critical role to his own class, the 'educated bourgeoisie' in the reform process he maps out. A distinction, but also an intimate connection, is highlighted between, on the one hand, micro-level individualism (the 'Manchester System, and, on the other, the macro-level collective action ('planning') required to preserve it. Finally Keynes is considered in relation to the themes of laissez-faire, holism, reductionism, providentialism and the invisible hand. (shrink)

The article presents the results of an interdisciplinary (psychological, behavioral, sociological, urban) survey of residents of elite residential complexes of Odessa regarding theirs urban infrastructure preferences, as well as the degree of satisfaction with their place of residence. It was found that respondents are characterized by a high level of satisfaction with their place of residence. It was also revealed that the security criterion of the district is the main one for choosing a place of residence, which indicates the (...) unmet townspeople need for the general safety of the urban environment. Based on the obtained empirical data, an analysis of significant factors affecting the urban infrastructure preferences of residents from the point of view of the systemic concept of the social ecology of the city is conducted. Obtained data viewed that living in high-rise (multi-storey) buildings correlates with a low level of satisfaction, while low-rise buildings positively correlate with such significant aspects as the view from the window, a small number of neighbors, proximity to the sea, and effective house management. Multivariate regression revealed a positive relationship with such infrastructure objects as shopping and entertainment centers, postal services, places of family leisure, etc., which indicates the dominance of the consumer strategy in the behavior of the city resident. The collected empirical material served as the base for identifying the behavioral trends of the townspeople and allowed to simulate a qualitative profile of the activity of everyday support and personal development. (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)

The paper will explicate the Sache or matter of the dialectic of the founder of Kyoto School philosophy, Nishida Kitarō (1870-1945), from the standpoint of his mature thought, especially from the 1930s and 40s. Rather than providing a simple exposition of his thought I will engage in a creative reading of his concept of basho (place) in terms of chiasma and chōra, or a chiasmatic chōra. I argue that Nishida’s appropriation of nineteenth century German, especially Hegelian, terminology was inadequate in (...) expressing what he strove to say—for his concept of basho confounds traditional metaphysical discourse. Because of its chiasmatic and chōratic nature, the Sache he strove to capture and express through the language of dialectical philosophy, perpetually slips away from any systemic bounds. His “dialectic” (benshōhō) implies a chiasma or a criss-crossing of multiple factors on multi-dimensional levels that exceed in complexity simplistic binomial oppositions or the triadic formula of traditional dialectics. The complexity is one of over-determination that threatens to undermine the very language of such a dialectic. As the deep complexity of over-inter-determinations would deconstruct any notion of a substance, what Nishida offers—as opposed to an ousiology (or logic of substance)—is a chiasmology. I thus argue that his so-called dialectic is really an unfolding of that chiasma. And if chiasma expresses the over-determinate aspect of Nishida’s matter of thinking, chōra would express its under-determinate aspect. Nishida himself based his concept of basho or “place” on Plato’s notion of the chōra from the Timaeus. I take Nishida’s basho in its chōratic nature as what simultaneously unfolds and enfolds the chiasma. But in the case of the chōra it is its under-determinate nature that refuses reduction to any of the terms of opposition. In its self-withdrawal, it provides a clearing, a space, for the chiasmatic unraveling of the many. Like the chiasma it undermines any claim to a first substance or the hegemony of a universal First. For in its indeterminateness, it is “nothing” (mu). The unfolding it enfolds is, as Nishida states, “a determination without determiner.” In concrete terms, however, we might develop Nishida’s concept further by returning to the original pre-Platonic Greek meaning of chōra in the sense of “region” or “country,” to understand chōra or basho here as the very space of co-existence provided by this very earth. As a chiasmatic chōra irreducible, in its over- and under-determinations, to being or non-being, Nishida’s basho qua mu proves to be the an-ontological origin of both on and meon (being and non-being). Rejecting the culture-nature dichotomy this notion of our place of being as chiasma and chōra underscores our holistic symbiosis with the earth as the anontological (un)ground and clearing for our co-existence in a concrete milieau with one another and with nature. It is this earth as our ultimate contextual wherein that provides a clearing for co-dwelling and mutual encounter with one’s other, that we must acknowledge today if we are to co-exist authentically and freely vis-à-vis our global neighbors and vis-à-vis the surrounding nature. (shrink)

I am arguing that it is only by concentrating on the role of models in theory construction, interpretation and change, that one can study the progress of science sensibly. I define the level at which these models operate as a level above the purely empirical (consisting of various systems in reality) but also indeed below that of the fundamental formal theories (expressed linguistically). The essentially multi-interpretability of the theory at the general, abstract linguistic level, implies (...) that it can potentially make claims about systems in reality, other than the particular one which originally induced it. Any so-called correspondence relation between (systems in) reality and the entities and relations in some scientific theory, thus consists of two jumps or interpretations: from the theory (linguistic level) to some model of it (constructural level); and from there to some system in reality. Clearly then the level of fundamental theories cannot be ignored la Nancy Cartwright - in studying the relations between a theory and reality, because the particular features of the theory (the various systems in reality onto which the theory can be mapped) cannot be studied without the underlying knowledge that these systems have one common feature, namely that each of them is the range (or other pole) of a mapping of a context-specific model of the theory - which in itself, is a mapping, or more specifically, an interpretation of the theory. I am also claiming that the nature of these levels and the relations between them necessitate an epistemological rather than an ontological notion of truth criteria, and a referential rather than a representational link between science and reality. (shrink)