In a recent letter, Dillion et. al (2023) make various suggestions regarding the idea of artificially intelligent systems, such as large language models, replacing human subjects in empirical moral psychology. We argue that human subjects are in various ways indispensable.

The CRISPR system for gene editing can break, repair, and replace targeted sections of DNA. Although CRISPR gene editing has important therapeutic potential, it raises several ethical concerns. Some bioethicists worry CRISPR is a prelude to a dystopian future, while others maintain it should not be feared because it is analogous to past biotechnologies. In the scientific literature, CRISPR is often discussed as a revolutionary technology. In this paper we unpack the framing of CRISPR as a revolutionary technology and contrast (...) it with framing it as a value-threatening biotechnology or business-as-usual. By drawing on a comparison between CRISPR and the Ford Model T, we argue CRISPR is revolutionary as a product, process, and as a force for social change. This characterization of CRISPR offers important conceptual clarity to the existing debates surrounding CRISPR. In particular, conceptualizing CRISPR as a revolutionary technology structures regulatory goals with respect to this new technology. Revolutionary technologies have characteristic patterns of implementation, entrenchment, and social impact. As such, early identification of technologies as revolutionary may help construct more nuanced and effective ethical frameworks for public policy. (shrink)

Discussing theories at length, including their origin, development, and replacement by other theories, can help students in understanding of both objective and subjective aspects of the scientific process. Presenting theories in the form of- models helps in this undertaking, and the history of science provides a number of suitable models. The paper describes specific examples that have been used in in-service courses for science teachers.

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can be seriously (...) considered as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (shrink)

Florence Ashley has argued that requiring patients with gender dysphoria to undergo an assessment and referral from a mental health professional before undergoing hormone replacement therapy (HRT) is unethical and may represent an unconscious hostility towards transgender people. We respond, first, by showing that Ashley has conflated the self-reporting of symptoms with self-diagnosis, and that this is not consistent with the standard model of informed consent to medical treatment. Second, we note that the model of informed consent involved in cosmetic (...) surgery resembles the model Ashley defends, and that psychological assessment and referral is recognised as an important aspect of such a model. Third, we suggest that the increased prevalence of psychiatric morbidity in the transgender population arguably supports the requirement of assessment and referral from a mental health professional prior to undergoing HRT. (shrink)

Models are the coin of the realm in current philosophy of science, as they are in science itself, having replaced laws and theories as the primary strategy. Logical Positivism tried to erase the older neo-Kantian distinction between ideal constructions and reality. It returns in the case of models. Nowak’s concept of idealization pro- vided an alternative account of this issue. It construed model application as concretizations of hypotheses which improve by accounting for exceptions. This appears to account for (...) physical law. But it raises the problem of uniqueness: is the result unique, as physical law should be? Neo-Kantianism failed this test. Its solutions were circular justifications for claims of uniqueness. Nowak inherited the problem without resolving it. (shrink)

Standard linguistic analysis of syntax uses the T-model. This model requires the ordering: D-structure > S-structure > LF, where D-structure is the sentences deep structure, S-structure is its surface structure, and LF is its logical form. Between each of these representations there is movement which alters the order of the constituent words; movement is achieved using the principles and parameters of syntactic theory. Psychological analysis of sentence production is usually either serial or connectionist. Psychological serial models do not accommodate (...) the T-model immediately so that here a new model called the P-model is introduced. The P-model is different from previous linguistic and psychological models. Here it is argued that the LF representation should be replaced by a variant of Frege'sA three qualities (sense, reference, and force), called the FregeA representation or F-representation. In the F-representation the order of elements is not necessarily the same as that in LF and it is suggested that the correct ordering is: F-representation > D-structure > S-structure. This ordering appears to lead to a more natural view of sentence production and processing. Within this framework movement originates as the outcome of emphasis applied to the sentence. The requirement that the F-representation precedes the D-structure needs a picture of the particular principles and parameters which pertain to movement of words between representations. In general this would imply that there is a preferred or optimal ordering of the symbolic string in the F-representation. The standard ordering is retained because the general way of producing such an optimal ordering is unclear. In this case it is possible to produce an analysis of movement between LF and D-structure similar to the usual analysis of movement between S-structure and LF. The necessity of analyzing corrupted data suggests that a maximal amount of information about a language's grammar and lexicon is stored. (shrink)

Philosophers of science have offered different accounts of what it means for one scientific theory to reduce to another. I propose a more or less friendly amendment to Kenneth Schaffner’s “General Reduction-Replacement” model of scientific unification. Schaffner interprets scientific unification broadly in terms of a continuum from theory reduction to theory replacement. As such, his account leaves no place on its continuum for type irreducible and irreplaceable theories. The same is true for other accounts that incorporate Schaffner's continuum, for example, (...) those developed by Paul Churchland, Clifford Hooker, and John Bickle. Yet I believe a more general account of scientific unification should include type irreducible and irreplaceable theories in an account of their partial reduction, specifically, when there is a reduction of their tokens. Thus I propose a “Reduction-Reception-Replacement” model wherein type irreducible and irreplaceable theories are accepted or received for the purpose of unifying domains of particulars. I also suggest a link between this kind of token reduction and mechanistic explanation. (shrink)

The five studies of this special section investigate the role of models and similar representational tools in interdisciplinarity. These studies were all written by philosophers of science, who focused on interdisciplinary episodes between disciplines and sub-disciplines ranging from physics, chemistry and biology to the computational sciences, sociology and economics. The reasons we present these divergent studies in a collective form are three. First, we want to establish model-exchange as a kind of interdisciplinary event. The five case studies, which are (...) summarized in Section 2 below, show the relevance of this kind. Arguing for the relative unity of these cases will, we hope, re-orient the current debate over interdisciplinarity so as to reflect more appropriately the importance of this kind. We discuss our view of the current state of the debate in Section 3. The evidence from these cases also helps us to develop a taxonomy of interdisciplinary model exchanges in Section 4da taxonomy, we would like to add, that might be useful for the discussion of interdisciplinary exchanges beyond the context of models and their transfer. The second reason for presenting these studies together is that they provide an important source of evidence for the philosophy of science. Over the last three decades, philosophy of science has increasingly differentiated into philosophies of various disciplines. This differentiation in our view has greatly increased our understanding of the scientific practices of the respective disciplines, including the epistemological and methodological standards and conventions on which these practices are based and by which they are evaluated. But it has also made it harder to compare these practices and standards across disciplines. The studies we present here are case studies of interdisciplinary exchange: they focus on the transfer, collaborative construction or parallel use of models and similar representational tools. They therefore provide a unique opportunity to investigate various disciplinary treatments of the same or at least similar representational tools. This allows the identification and comparison of different disciplinary practices and their underlying conventions as well as of the respective normative standards of their evaluation. By tracing the paths along which models travel between disciplines and research fields we can observe to which extent discipline-external practices associated with an adopted tool are retained or replaced by disciplineinternal practices. This generates invaluable information about both disciplinarity and interdisciplinarity. We develop this argument further in Section 5. The third reason for presenting these studies in collective form is that their philosophical analysis also has important normative implications for the notion of interdisciplinarity itself. Too often in the current (non-philosophical) discourse is interdisciplinarity cast as an exclusively integrative project: interdisciplinary exchange is often claimed to be successful only if the involved disciplines become mutually more integrated as a consequence of this process. In contrast to this, many of the cases presented here show that interdisciplinary exchange can be scientifically highly successful, even if at the end of the exchange disciplinary borders remain fully intact. Indeed, borders can be fruitfully crossed without any integration across these borders. Such considerations of divergence in scientific practices and tools offer arguments against a naïve plea for unitarian or non-pluralist versions of interdisciplinarity. Disciplinary divergences may have their justifications, and attempting exchanges that require the reduction of these divergences may consequently not be justified. We pursue this argument further in Section 6. (shrink)

This study analyses the predictions of the General Theory of Relativity (GTR) against a slightly modified version of the standard central mass solution (Schwarzschild solution). It is applied to central gravity in the solar system, the Pioneer spacecraft anomalies (which GTR fails to predict correctly), and planetary orbit distances and times, etc (where GTR is thought consistent.) -/- The modified gravity equation was motivated by a theory originally called ‘TFP’ (Time Flow Physics, 2004). This is now replaced by the ‘Geometric (...) Model’, 2014 [20], which retains the same theory of gravity. This analysis is offered partially as supporting detail for the claim in [20] that the theory is realistic in the solar system and explains the Pioneer anomalies. The overall conclusion is that the model can claim to explain the Pioneer anomalies, contingent on the analysis being independently verified and duplicated of course. -/- However the interest lies beyond testing this theory. To start with, it gives us a realistic scale on which gravity might vary from the accepted theory, remain consistent with most solar-scale astronomical observations. It is found here that the modified gravity equation would appear consistent with GTR for most phenomena, but it would retard the Pioneer spacecraft by about the observed amount (15 seconds or so at time). Hence it is a possible explanation of this anomaly, which as far as I know remains unexplained now for 20 years. -/- It also shows what many philosophers of science have emphasized: the pivotal role of counterfactual reasoning. By putting forward an exact alternative solution, and working through the full explanation, we discover a surprising ‘counterfactual paradox’: the modified theory slightly weakens GTR gravity – and yet the effect is to slow down the Pioneer trajectory, making it appear as if gravity is stronger than GTR. The inference that “there must be some tiny extra force…” (Musser, 1998 [1]) is wrong: there is a second option: “…or there may be a slightly weaker form of gravity than GTR.” . (shrink)

Hegel often says that his "logic" is meant to replace metaphysics. Since Hegel's Science of Logic is so different from a standard logic, most commentators have not treated the portion of that work devoted to logical forms as relevant to this claim. This paper argues that Hegel's discussion of logical forms of judgment and syllogism is meant to be the foundation of his reformation of metaphysics. Implicit in Hegel's discussion of the logical forms is the view that the metaphysical concepts (...) discussed in Books I and II of the Science of Logic supervene on the role of subject and predicate terms in the logical forms discussed in Book III. Hegel thus has an explanation for the nature and significance of metaphysical concepts that resembles Kant's "metaphysical deduction," according to which the categories can be derived from the table of judgments. Though Hegel's metaphysics is often supposed to be influenced by Kant, prevailing interpretations do not show how Hegel's fine-grained treatment of logical forms is relevant to his critical view of metaphysics. The present interpretation provides a model for Hegel's explanation of metaphysical concepts, as well as a new picture of the structure of his Science of Logic that emphasizes the priority of its Doctrine of the Concept. (shrink)

The appearance of openly accessible Artificial Intelligence Applications such as Large Language Models, nowadays capable of almost human-level performances in complex reasoning tasks had a tremendous impact on public opinion. Are we going to be "replaced" by the machines? Or - even worse - "ruled" by them? The behavior of these systems is so advanced they might almost appear "alive" to end users, and there have been claims about these programs being "sentient". Since many of our relationships of power (...) and social dominance are apparently based on intelligence, where the "smarter" seems to prevail on the "dumber" (as we see for example with livestock farming, or with the distribution of salaries according to formal and intellectual qualifications etc.) the emergence of programs and AI applications of this level of sophistication brings us to the question "what will AI do to us?". Our error is to frame Artificial Intelligence in the same way we frame Natural Intelligence and mistakenly address it as we would do with biological life, even applying to it the same biopolitical categories. We here try to reverse the common arguments in relationship between life and intelligence and show that our progresses in Artificial Intelligence might have no immediate consequence for the topic of life as such, as life and intelligence are well separated issues, and - even when we would like to somehow fuse them together, we are very far away from having an "Artificial Life" to the degree of complexity and effectiveness we have with "Artificial Intelligence". (shrink)

The Sustainable Economic Model Based on the Universal Law of Balance -/- By Angelito Malicse -/- This model builds on the Universal Law of Balance, integrating sustainable population management, economic stability, technological progress, and environmental harmony. It presents a framework for a balanced civilization, where society no longer depends on endless population growth to sustain economic systems. Instead, human progress is guided by equilibrium between resources, technology, and well-being. -/- I. THE UNIVERSAL LAW OF BALANCE AS A FOUNDATION -/- The (...) Universal Law of Balance states that all systems, including the human mind, societies, economies, and ecosystems, operate within a natural equilibrium. Any imbalance—whether it be population excess, economic exploitation, or environmental destruction—leads to instability and collapse. -/- To ensure long-term stability, human decision-making must follow the universal principle of balance, where every system maintains harmony with its external and internal conditions. -/- II. A BALANCED ECONOMY WITHOUT OVERPOPULATION -/- 1. Population Stability: Aligning Growth with Resources -/- Instead of uncontrolled population growth, society must: -/- Determine an optimal population size based on available natural resources, infrastructure, and economic capacity. -/- Educate people about sustainable birth rates, using incentives to encourage population stability rather than forced expansion. -/- Balance age distribution to prevent economic collapse due to an aging society. -/- Integrate automation and AI to replace traditional labor needs, reducing dependence on a large workforce. -/- This replaces the flawed system where economies depend on more births to maintain economic expansion. -/- 2. Economic Productivity Without Population Growth -/- A sustainable economy should be driven by innovation and efficiency, not just population expansion. Key strategies include: -/- A. Shift to a Knowledge and Automation-Based Economy -/- Develop high-productivity sectors, such as AI, robotics, biotechnology, and clean energy. -/- Reduce reliance on labor-intensive industries by using automated systems for repetitive work. -/- Prioritize creativity, innovation, and strategic thinking, where humans contribute beyond manual labor. -/- B. Ending the “Growth at All Costs” Mentality -/- GDP-based economic growth is an outdated metric that promotes overproduction and waste. -/- Instead, measure economic success by sustainability, well-being, and resource efficiency. -/- Implement circular economies, where waste is minimized, and materials are continuously recycled. -/- 3. Universal Basic Income (UBI) and Economic Security -/- As automation takes over traditional jobs, society must shift towards economic security without forced labor growth. -/- A. Funding a Sustainable UBI -/- UBI should be funded by: -/- Taxing automation and AI-driven industries (ensuring technological wealth benefits society). -/- Regulating natural resource extraction (charging industries for environmental costs). -/- Eliminating extreme wealth hoarding, redistributing wealth for economic balance. -/- B. UBI as a Means to Reduce Inequality -/- UBI will allow people to focus on education, entrepreneurship, and innovation, rather than struggling in low-paying jobs. -/- It removes the need for a growing labor force, ensuring economic security even with a smaller population. -/- 4. Resource-Based Economy: Efficiency Over Consumption -/- Instead of economies based on infinite consumption, the resource-based economy aligns production with environmental limits. -/- A. Smart Resource Allocation -/- Use AI-driven economic planning to balance supply and demand efficiently. -/- Implement energy-efficient, waste-reducing production methods to preserve natural resources. -/- Shift to clean, renewable energy and eliminate reliance on finite fossil fuels. -/- B. Ending the Disposable Economy -/- Products should be designed to last, reducing overproduction. -/- Industries should be regulated to prevent unnecessary waste and environmental damage. -/- Governments should support recycling, renewable energy, and sustainable agriculture as the new standard. -/- 5. Lifelong Learning & Human Development -/- Instead of linking education to job creation, learning should be a lifelong process focused on balance, ethics, and sustainability. -/- A. Education for Balance and Critical Thinking -/- Integrate the Universal Law of Balance into all educational systems. -/- Shift focus from traditional jobs to systems thinking, problem-solving, and ethical decision-making. -/- Encourage scientific research into sustainability, AI ethics, and post-scarcity solutions. -/- B. Automation as a Tool for Human Growth -/- With fewer labor demands, people should focus on creativity, philosophy, and technological advancements. -/- The economy must be structured to allow individuals to pursue innovation without financial survival pressure. -/- III. HOW THIS MODEL SOLVES HUMANITY’S CRISIS -/- 1. Eliminating Economic Dependence on Overpopulation -/- Current Model: More people = More jobs = More demand = More economic activity (unsustainable). -/- Balanced Model: Stable population + AI-driven productivity + UBI + resource efficiency (sustainable). -/- 2. Ending the Cycle of Wealth Inequality -/- Current Model: Wealth is concentrated in a few, creating social imbalance. -/- Balanced Model: Technological wealth is shared through UBI and economic planning. -/- 3. Environmental Sustainability & Resource Conservation -/- Current Model: Resources are exploited for short-term profit, leading to climate collapse. -/- Balanced Model: AI-driven resource management aligns consumption with environmental limits. -/- 4. Human Progress Without Labor Exploitation -/- Current Model: People are forced to work for survival, even in degrading conditions. -/- Balanced Model: AI and automation provide economic security, allowing people to focus on meaningful pursuits. -/- IV. THE FUTURE OF HUMANITY UNDER THIS MODEL -/- By following the Universal Law of Balance, this model ensures that humanity reaches a state of equilibrium between economy, technology, and environment. -/- 1. Stable Population – No need for forced growth, ensuring quality of life. -/- 2. Resource Efficiency – No excessive waste, preserving the planet. -/- 3. Economic Security – AI-driven economies provide prosperity without exploitation. -/- 4. Sustainable Innovation – Science and technology focus on long-term human progress, not just profit. -/- Final Thought -/- This model breaks the outdated cycle of using overpopulation as an economic tool. Instead, it creates a civilization where human intelligence, automation, and resource management align in perfect balance, ensuring a future where progress is driven by wisdom, not unsustainable growth. -/- . (shrink)

Due to the innovative possibilities of digital technologies, the issue of increasing automation is once again on the agenda – and not only in the industry, but also in other branches and sectors of contemporary societies. Although public and scientific discussions about automation seem to raise relevant questions of the “old” debate, such as the replacement of human labor by introducing new technologies, the authors focus here on the new contextual quality of these questions. The debate should rethink the relationship (...) between technology and work with regard to quantitative and qualitative changes in work. In this article, our example will be the introduction of automation in industry, which has been reflected in the widely recognized study by Frey and Osborne in 2013. They estimated the expected impacts of future computerization on US labor market outcomes as very high, specifically regarding the number of jobs at risk. Surprisingly, this study was the starting point of an intensive international debate on the impact of technologies on the future of work and the role of technological change in working environments. Thus, according to the authors, “old” questions remain important, but they should be reinterpreted for “new” societal demands and expectations of future models of work. (shrink)

The relationship between topological explanation and mechanistic explanation is unclear. Most philosophers agree that at least some topological explanations are mechanistic explanations. The crucial question is how to make sense of this claim. Zednik (Philos Psychol 32(1):23–51, 2019) argues that topological explanations are mechanistic if they (i) describe mechanism sketches that (ii) pick out organizational properties of mechanisms. While we agree with Zednik’s conclusion, we critically discuss Zednik’s account and show that it fails as a general account of how and (...) when topological explanations are mechanistic. First, if topological explanations were just mechanism sketches, this implies that they could be enriched by replacing topological terms with mechanistic detail. This, however, conflicts how topological explanations are used in scientific practice. Second, Zednik’s account fails to show how topological properties can be organizational properties of mechanisms that have a place in mechanistic explanation. The core issue is that Zednik’s account ignores that topological properties often are _global_ properties while mechanistic explanantia refer to _local_ properties. We demonstrate how these problems can be solved by a recent account of mechanistic completeness (Craver and Kaplan in Br J Philos Sci 71(1):287–319, 2020; Kohár and Krickel in Calzavarini and Viola (eds) Neural mechanisms—new challenges in the philosophy of neuroscience, Springer, New York, 2021) and use a multilayer network model of Alzheimer’s Disease to illustrate this. (shrink)

In response to an impasse, articulated in the late 1980s, the cognitive capacities of ordinary people assumed central place in contemporary critical social theory. The participants’ perspective gained precedence over scientific standards branded as external. The notion of cognition, however, went unchallenged. This article continues the move away from external standards, and discusses two models of critique, which differ based on their underlying notions of cognition. The representational model builds on cognitive content, misrecognition and normativity; three features which are (...) illustrated with positions adopted by prominent exponents of critical social theory. An alternative understanding relies on action-oriented disclosure and the participants’ basic familiarity with the social world. On this reading, what clashes with unequal structures is skilful coping, rather than representations and normative standards. The action-oriented approach may overcome the dilemma of understanding both the impact and the possible transcendence of unequal structures, although it cannot ultimately replace representational critique. (shrink)

This paper argues that the practical implementation of blockchain technology can be considered an institution of property similar to legal institutions. Invoking Penner's theory of property and Hegel's system of property rights, and using the example of bitcoin, it is possible to demonstrate that blockchain effectively implements all necessary and sufficient criteria for property without reliance on legal means. Blockchains eliminate the need for a third-party authority to enforce exclusion rights, and provide a system of universal access to knowledge and (...) discoverability about the property rights of all participants and how the system functions. The implications of these findings are that traditional property relations in society could be replaced by or supplemented with blockchain models, and implemented in new domains. (shrink)

This article offers an account and defence of constructionism, both as a metaphilosophical approach and as a philosophical methodology, with references to the so-called maker's knowledge tradition. Its main thesis is that Plato's “user's knowledge” tradition should be complemented, if not replaced, by a constructionist approach to philosophical problems in general and to knowledge in particular. Epistemic agents know something when they are able to build (reproduce, simulate, model, construct, etc.) that something and plug the obtained information into the correct (...) network of relations that account for it. Their epistemic expertise increases with the scope and depth of the questions that they are able to ask and answer. Thus, constructionism deprioritises mimetic, passive, and declarative knowledge that something is the case, in favour of poietic, interactive, and practical knowledge of something being the case. Metaphilosophically, constructionism suggests adding conceptual engineering to conceptual analysis as a fundamental method. (shrink)

A principle, according to which any scientific theory can be mathematized, is investigated. Social science, liberal arts, history, and philosophy are meant first of all. That kind of theory is presupposed to be a consistent text, which can be exhaustedly represented by a certain mathematical structure constructively. In thus used, the term “theory” includes all hypotheses as yet unconfirmed as already rejected. The investigation of the sketch of a possible proof of the principle demonstrates that it should be accepted rather (...) a metamathematical axiom about the relation of mathematics and reality. The main statement is formulated as follows: Any scientific theory admits isomorphism to some mathematical structure in a way constructive. Its investigation needs philosophical means. Husserl’s phenomenology is what is used, and then the conception of “bracketing reality” is modelled to generalize Peano arithmetic in its relation to set theory in the foundation of mathematics. The obtained model is equivalent to the generalization of Peano arithmetic by means of replacing the axiom of induction with that of transfinite induction. The sketch of the proof is organized in five steps: a generalization of epoché; involving transfinite induction in the transition between Peano arithmetic and set theory; discussing the finiteness of Peano arithmetic; applying transfinite induction to Peano arithmetic; discussing an arithmetical model of reality. Accepting or rejecting the principle, two kinds of mathematics appear differing from each other by its relation to reality. Accepting the principle, mathematics has to include reality within itself in a kind of Pythagoreanism. These two kinds are called in paper correspondingly Hilbert mathematics and Gödel mathematics. The sketch of the proof of the principle demonstrates that the generalization of Peano arithmetic as above can be interpreted as a model of Hilbert mathematics into Gödel mathematics therefore showing that the former is not less consistent than the latter, and the principle is an independent axiom. The present paper follows a pathway grounded on Husserl’s phenomenology and “bracketing reality” to achieve the generalized arithmetic necessary for the principle to be founded in alternative ontology, in which there is no reality external to mathematics: reality is included within mathematics. That latter mathematics is able to self-found itself and can be called Hilbert mathematics in honour of Hilbert’s program for self-founding mathematics on the base of arithmetic. The principle of universal mathematizability is consistent to Hilbert mathematics, but not to Gödel mathematics. Consequently, its validity or rejection would resolve the problem which mathematics refers to our being; and vice versa: the choice between them for different reasons would confirm or refuse the principle as to the being. An information interpretation of Hilbert mathematics is involved. It is a kind of ontology of information. The Schrödinger equation in quantum mechanics is involved to illustrate that ontology. Thus the problem which of the two mathematics is more relevant to our being is discussed again in a new way A few directions for future work can be: a rigorous formal proof of the principle as an independent axiom; the further development of information ontology consistent to both kinds of mathematics, but much more natural for Hilbert mathematics; the development of the information interpretation of quantum mechanics as a mathematical one for information ontology and thus Hilbert mathematics; the description of consciousness in terms of information ontology. (shrink)

A principle, according to which any scientific theory can be mathematized, is investigated. That theory is presupposed to be a consistent text, which can be exhaustedly represented by a certain mathematical structure constructively. In thus used, the term “theory” includes all hypotheses as yet unconfirmed as already rejected. The investigation of the sketch of a possible proof of the principle demonstrates that it should be accepted rather a metamathematical axiom about the relation of mathematics and reality. Its investigation needs philosophical (...) means. Husserl’s phenomenology is what is used, and then the conception of “bracketing reality” is modelled to generalize Peano arithmetic in its relation to set theory in the foundation of mathematics. The obtained model is equivalent to the generalization of Peano arithmetic by means of replacing the axiom of induction with that of transfinite induction. A comparison to Mach’s doctrine is used to be revealed the fundamental and philosophical reductionism of Husserl’s phenomenology leading to a kind of Pythagoreanism in the final analysis. Accepting or rejecting the principle, two kinds of mathematics appear differing from each other by its relation to reality. Accepting the principle, mathematics has to include reality within itself in a kind of Pythagoreanism. These two kinds are called in paper correspondingly Hilbert mathematics and Gödel mathematics. The sketch of the proof of the principle demonstrates that the generalization of Peano arithmetic as above can be interpreted as a model of Hilbert mathematics into Gödel mathematics therefore showing that the former is not less consistent than the latter, and the principle is an independent axiom. An information interpretation of Hilbert mathematics is involved. It is a kind of ontology of information. Thus the problem which of the two mathematics is more relevant to our being is discussed. An information interpretation of the Schrödinger equation is involved to illustrate the above problem. (shrink)

In cognitive science, there are many computational theories regarding the function of the mind; connectionism is one of them. Connectionist networks are intricate systems of simple units related to their environment. Some have thousands of units, but those with only a few units can also behave with surprising complexity and subtlety. This is because processing occurs in parallel as also interactively, in marked contrast with the serial processing to which this is accustomed. In the first section of this paper, I (...) intend to describe a simple network that illustrates several features of connectionist processing. Secondly, I would like to examine its relation with other areas in realm of cognitive science. Thirdly, I shall make an attempt to find out whether this theory contributes to the replacement of folk psychology. Lastly, I find that connectionist thus fails to account for the real nature of the mental states because of its not too clear attempt to reduce mental states to the machine states. The mechanistic theory of mind in all its hues faces the question as to how we can account for the qualitative content of our consciousness. It cannot ultimately tell us how the subjective experience is possible and how consciousness to be real feature of universe. (shrink)

This article focuses on the socio-economic aspects of migration and migrants – economic refugees. The author presents the migrants as a precarious workforce, which is an indispensable part of modern global capitalism. In this article, the author points out that among the many factors influencing migration, the economic ones play the most crucial role. Forces released by the neo-liberal paradigm led to the global economic and social tensions. This is due to the fact that the market has become the only (...) regulator of economic and social relations. This article is not another critique of neo-liberal doctrine, advocating for replacing capitalism by “something else.” The author believes, similarly to John Gray, that what we need is a consensus between the states on different models of capitalism, as there are different cultures. (shrink)

The concept of the Dappled World Perspective was first proposed by Nancy Cartwright. I propose a new argument in favour of the Dappled World Perspective, and show how this Perspective can be refined in the model-based model of cognition. Limitations to modeling are not caused by limitations of human cognition, but are limitations built into the very structure of the Universe. At the level of models, we will always have only a patchwork of models, each very restricted in (...) its application scope. (shrink)

In this paper, I am generally concerned with certain mental disorders and the doxastic attitudes that sometimes characterize them. According to recent Anglo-American philosophical studies on this topic, the latter involve beliefs that have somehow “gone wrong”: strange or irrational beliefs and cases of “motivated irrationality”. I aim to focus on pathological and deceptive phenomena such as delusion and self-deception. From a phenomenological perspective, these can also be investigated with regard to their experiential content. Adopting this approach, and starting in (...) particular with the eidetic connection between the living body and its own environment, I will examine disorders of the ecological self. Psychiatric delusion, which is at the core of this examination, is a symptom of a great number of mental disorders, such as Capgras disorder, Cotard disorder and schizophrenia. Integrating dominant (propositional) models of delusion which reduce this pathological phenomenon to a certain kind of belief, I propose an eco-phenomenological understanding of its contours. From this perspective, delusion reveals itself primarily as an illusory experience: a delusional value-perception. In particular, I offer a Schelerian-based description of a peculiar case of delusion: Capgras delusion. People who suffer from Capgras delusion claim that an otherwise familiar individual has been replaced by an impostor. I consider, although in its negative variations, the contextual (rather than internalist) character of this type of delusion. (shrink)

When this book was first published in 1990, there were massive economic changes in the East and significant economic challenges to the West. This critical analysis of democratic theory discusses the principles and forces that push both socialist and capitalist economies toward a common ground of workplace democratization. This book is a comprehensive approach to the theory and practice of the "Democratic firm" – from philosophical first principles to legal theory and finally to some of the details of financial structure. (...) The argument for economic democracy supports private property, free markets and entrepreneurship for instance, but fundamentally it replaces the employer/employee relationship with democratic membership in the firm. For students, teachers, policy makers and others interested in the application of democracy to the workplace, this book will serve as a manifesto and a standard reference on the topic. (shrink)

The role of China in the world economy is constantly growing. In particular we observe that it plays more and more important role in the support of theworld economic growth (as well as high prices of certain very important commodities). In the meantime the perspectives of the Chinese economy (as well as possible fates of the Chinese society) remain unclear, whereas respective forecasts look rather contradictory. That is why the search for new aspects and modes of analysis of possible development (...) of China turns out to be rather important for the forecasting of global futures. This article employs a combination of scientific methods that imply (a) the analysis at the level of Chinese economic model; (b) the analysis at regional level (at this level the Chinese economic model is compared with the regional East Asian model); (c) the analysis at the global level that relies on the modified world-system approach that allows to answer the question whether China will replace the USA as the global leader. It is important that the analysis is conducted simultaneously in economic, social, demographic, and political dimensions. As regards the analysis of specific features of the Chinese model as an especial type of the East Asian model (that is based on the export orientation, capital & technology importation, as well as cheap labor force), we note as organic features of the Chinese model the totalitarian power of the Communist Party and the immenseness of resources. As regards special features of the Chinese model, we note (in addition to “cheap ecology” and cheap labor force) and emphasize that China has a multilevel (in a way unique) system of growth driving forces, where, as opposed to developed states, the dominant role belongs not to native private capital, but to state corporations, local authorities and foreign business. This explains the peculiarities of the Chinese investment (or rather overinvestment), which determines high growth rate up to a very significant degree. A unique feature of the Chinese model is the competition of provinces and territories for investments and high growth indicators. As regards perspectives of the global hegemony of China, we intend to demonstrate that, on the one hand, economic and political positions of China will strengthen in the forthcoming decades, but, on the other hand, China, assuming all possible future success, will be unable to take the USA position in the World System. We believe that in a direct connection with the development of globalization processes the hegemony cycle pattern is likely to come to its end, which will lead to the World System reconfiguration and the emergence of its new structure that will allow the World System to continue its further development without a hegemon. Finally, the article describes some possible scenarios of the development of China. We demonstrate that China could hardly avoid serious difficulties and critical situations (including those connected with demographic problems); however, there could be different scenarios of how China will deal with the forthcoming crisis. We also come to the conclusion that it would be better for China to achieve a slowdown to moderate growth rates (that would allow China to go through the forthcoming complex transition period with less losses) than to try to return at any cost to explosive growth rates attested in the 2000s. (shrink)

Models as Make-Believe offers a new approach to scientific modelling by looking to an unlikely source of inspiration: the dolls and toy trucks of children's games of make-believe.

When game theory was introduced to biology, the components of classic game theory models were replaced with elements more befitting evolutionary phenomena. The actions of intelligent agents are replaced by phenotypic traits; utility is replaced by fitness; rational deliberation is replaced by natural selection. In this paper, I argue that this classic conception of comprehensive reapplication is misleading, for it overemphasizes the discontinuity between human behavior and evolved traits. Explicitly considering the representational roles of evolutionary game theory brings to (...) attention neglected areas of overlap, as well as a range of evolutionary possibilities that are often overlooked. The clarifications this analysis provides are well-illustrated by—and particularly valuable for—game theoretic treatments of the evolution of social behavior. (shrink)

"Wilderness" is a concept which has undergone a radical change in recent years. Owing to the scale of global destruction of the wilderness and its various ecosystems, the idea of wilderness has been transformed from its original negative sense as an Other into a matter of public concern. This as replaced the understanding of "wilderness " not only as a place but as a category closely linked with the development of buman culture. As the result of human practice and representation, (...) nature is thus also political Models and concepts of nature in the creative arts can be indicative of a certain culture's relationship with nature, as they communicate prevailing ideologies. This is particularly pertinent to concepts of nature in Canada where wilderness includes vast tracts of forests, lakes and an Arctic North, which has led to a distinctively Canadian relationship between Canadians and their natural environment. The change in the literary representations of interactions between humankind and environment in Canadian fiction - from the "double vision" resulting from the view of the wilderness both as a threatening Other and free space; to the view of threatened nature as a means of identification; and, finally, as a post-modem place of transgression and possibility - invites questions about both the semiotic threshold between nature and culture, and about the function of boundaries in the constitution of identity. (shrink)

In this paper I propose an account of representation for scientific models based on Kendall Walton’s ‘make-believe’ theory of representation in art. I first set out the problem of scientific representation and respond to a recent argument due to Craig Callender and Jonathan Cohen, which aims to show that the problem may be easily dismissed. I then introduce my account of models as props in games of make-believe and show how it offers a solution to the problem. Finally, (...) I demonstrate an important advantage my account has over other theories of scientific representation. All existing theories analyse scientific representation in terms of relations, such as similarity or denotation. By contrast, my account does not take representation in modelling to be essentially relational. For this reason, it can accommodate a group of models often ignored in discussions of scientific representation, namely models which are representational but which represent no actual object. (shrink)

The Future of Human Reproduction and Family Structure -/- Introduction -/- The future of human reproduction and family structure is set to undergo profound transformations due to advancements in science, technology, and shifting societal values. Breakthroughs in artificial reproduction, gene editing, AI-assisted parenting, and new family models are poised to redefine what it means to conceive, raise children, and form families. As these changes unfold, they will challenge traditional concepts of marriage, parenthood, and biological reproduction. This essay explores the (...) potential future of human reproduction and family structure, examining the scientific, ethical, and social implications. -/- 1. The Future of Human Reproduction -/- A. Assisted Reproductive Technologies (ART) and Genetic Engineering -/- Scientific advancements are making reproduction more accessible and customizable, allowing individuals to control fertility and genetic traits like never before. -/- 1. Artificial Wombs (Ectogenesis) -/- Artificial wombs, or ectogenesis, could enable embryos to develop outside the human body. This technology would: -/- Help individuals unable to carry pregnancies. -/- Reduce health risks associated with childbirth. -/- Offer reproductive freedom to same-sex couples and single individuals. -/- However, artificial wombs may raise ethical concerns about the emotional and psychological impact on maternal bonding and child development. Additionally, they may lead to commercialized pregnancy, where companies provide “womb services” for those who can afford them. -/- 2. Gene Editing & Designer Babies -/- Gene-editing tools like CRISPR allow parents to modify embryos to: -/- Eliminate genetic diseases. -/- Enhance intelligence, physical abilities, and even personality traits. -/- While this technology offers great potential for eradicating inherited disorders, it could also create genetic inequality between those who can afford enhancements and those who cannot, leading to the emergence of a genetic upper class. Governments may implement strict regulations, but underground markets for genetic enhancements could emerge. -/- 3. Lab-Grown Gametes -/- Scientists are developing methods to create sperm and eggs from stem cells, which could enable: -/- Infertile individuals to have biological children. -/- Single individuals to conceive without a partner. -/- While this could redefine reproduction by making parenthood accessible to all, it also raises ethical questions about whether parenthood should be solely based on biological connection or expanded to include other forms of caregiving. -/- B. Cloning and Synthetic Biology -/- 1. Human Cloning -/- While human cloning is currently illegal in most countries, advances in genetic engineering may eventually make it possible. Cloning could: -/- Allow individuals to reproduce without a partner. -/- Be used for medical purposes, such as replacing lost children. -/- Raise existential concerns about individuality and identity. -/- However, human cloning raises profound ethical concerns, including human rights, consent, and the potential exploitation of cloned individuals for labor or military purposes. -/- 2. Synthetic Embryos & Artificial Life -/- Scientists are developing synthetic embryos without using sperm or eggs, which could: -/- Enable reproduction without biological parents. -/- Help infertile individuals conceive. -/- Lead to new ethical dilemmas regarding the moral status of artificially created life forms. -/- If synthetic embryos become a reality, society may need to redefine what it means to be “human” and whether artificial life forms deserve legal rights. -/- C. Population & Environmental Considerations -/- 1. Controlled Population Growth -/- As overpopulation threatens global resources, some governments may: -/- Regulate reproduction using artificial reproductive technologies. -/- Implement birth quotas to maintain ecological balance. -/- Encourage reproduction in aging societies facing workforce decline. -/- These policies would raise ethical questions about personal freedom versus societal needs. -/- 2. Reproduction in Space -/- If humans colonize planets like Mars, reproduction in space will require: -/- Artificial wombs to protect embryos from cosmic radiation. -/- Genetic modifications to help humans adapt to low gravity. -/- New family structures, as space-born humans may develop unique physical traits. -/- This could lead to divergent human evolution, with space-born individuals differing from Earth-born humans over generations. -/- 3. The Future of Family Structure -/- A. Non-Traditional Family Models -/- 1. Multi-Parent Families -/- Technologies like three-parent IVF already exist, and in the future, more than two people may be able to contribute genetic material to a child. This could: -/- Redefine legal parenthood. -/- Enable new forms of family structures. -/- Challenge traditional parenting norms. -/- Laws will need to adapt to recognize multi-parent families and their rights. -/- 2. Single-Parent by Choice -/- With advanced reproductive technologies, more individuals will choose to have children without a partner. This will: -/- Normalize single parenthood. -/- Reduce societal pressure to marry for reproductive purposes. -/- Create new legal structures for co-parenting agreements. -/- B. Changes in Marriage & Parenting Norms -/- 1. Declining Marriage Rates -/- With reproduction becoming independent of relationships, marriage may decline, as people prioritize: -/- Career advancement. -/- Personal fulfillment. -/- Alternative forms of companionship. -/- 2. Co-Parenting Arrangements -/- People may legally agree to co-parent a child without being romantically involved. This would: -/- Offer a stable upbringing without traditional marriage. -/- Encourage partnership-based parenting. -/- Reduce legal disputes over custody. -/- 3. Extended Family Networks -/- Due to economic pressures, multi-generational households may become more common, with grandparents playing a bigger role in raising children. -/- C. AI & Robotics in Parenting -/- 1. AI Parenting Assistants -/- AI-driven robots may assist in: -/- Childcare and education. -/- Emotional development and mentorship. -/- Reducing parental stress. -/- However, heavy reliance on AI could impact traditional parent-child bonding. -/- 2. AI-Generated Children (Digital Offspring) -/- In the future, some people may choose to raise AI-based virtual children in digital environments instead of having biological kids. These “children” could: -/- Simulate real human relationships. -/- Reduce the need for biological reproduction. -/- Raise ethical questions: If AI children learn and grow, are they “alive”? -/- 3. Key Ethical and Social Questions -/- As these technologies reshape reproduction and family life, several ethical concerns arise: -/- 1. Genetic Inequality: Will access to genetic enhancements create a class divide? -/- 2. State vs. Individual Rights: Should governments regulate reproduction? -/- 3. Redefining Parenthood: Who qualifies as a parent in multi-parent or AI-assisted families? -/- 4. Traditional vs. Technological Families: Will humans still value biological reproduction, or will artificial and digital life forms become part of the family? -/- Conclusion -/- The future of human reproduction and family structure will be radically transformed by scientific advancements, shifting social norms, and ethical dilemmas. While artificial wombs, gene editing, and AI parenting promise greater reproductive freedom and inclusivity, they also pose existential challenges about human identity, societal structures, and the ethics of life creation. As these technologies advance, societies must carefully navigate their implications to ensure that progress benefits all of humanity while safeguarding fundamental rights and values. -/- . (shrink)

Kuhn (1962) proposed an evolutionary model to explain how scientific knowledge is built, based on the concept of paradigm. Even though Kuhn’s model is general, it has been applied to only a few topics in evolutionary biology, almost exclusively to broad-based paradigms. We analyze here, through the lens of Kuhn’s theory, a small-scale paradigm change that occurred with the resolution of the controversy about the mating system of a Mediterranean shrub Phillyrea angustifolia (Oleaceae). We first summarize the different steps of (...) the paradigm change and replace them in the more general context of sex ratio theory. Second, we show how the different steps of the paradigm change can be interpreted by Kuhnian concepts and tools. Finally, we discuss the actual and future status of the new paradigm. (shrink)

In recent decades, philosophers of science have devoted considerable efforts to understand what models represent. One popular position is that models represent fictional situations. Another position states that, though models often involve fictional elements, they represent real objects or scenarios. Though these two positions may seem to be incompatible, I believe it is possible to reconcile them. Using a threefold distinction between different signs proposed by Peirce, I develop an argument based on a proposal recently made by (...) Kralemann and Lattman (in Synthese 190:3397–3420, 2013) that shows that the two aforementioned positions can be reconciled by distinguishing different ways in which a model representation can be used. In particular, on the basis of Peirce’s distinction between icons, indices and symbols, I argue that models can sometimes function as icons, sometimes as indexes and sometimes as symbols, depending on the context in which they are considered and the use that they are developed for because they all have iconic, indexical and symbolic features. In addition, I show that conceiving models as signs enables us to develop an account of scientific representation that meets the main desiderata that Shech (in Synthese 192:3463–3485, 2015) presents. (shrink)

ABSTRACT Is there something specific about modelling that distinguishes it from many other theoretical endeavours? We consider Michael Weisberg’s thesis that modelling is a form of indirect representation through a close examination of the historical roots of the Lotka–Volterra model. While Weisberg discusses only Volterra’s work, we also study Lotka’s very different design of the Lotka–Volterra model. We will argue that while there are elements of indirect representation in both Volterra’s and Lotka’s modelling approaches, they are largely due to two (...) other features of contemporary model construction processes that Weisberg does not explicitly consider: the methods-drivenness and outcome-orientedness of modelling. 1Introduction 2Modelling as Indirect Representation 3The Design of the Lotka–Volterra Model by Volterra 3.1Volterra’s method of hypothesis 3.2The construction of the Lotka–Volterra model by Volterra 4The Design of the Lotka–Volterra Model by Lotka 4.1Physical biology according to Lotka 4.2Lotka’s systems approach and the Lotka–Volterra model 5Philosophical Discussion: Strategies and Tools of Modelling 5.1Volterra’s path from the method of isolation to the method of hypothesis 5.2The template-based approach of Lotka 5.3Modelling: methods-driven and outcome-oriented 6Conclusion. (shrink)

The model of self-referential truth presented in this paper, named Revision-theoretic supervaluation, aims to incorporate the philosophical insights of Gupta and Belnap’s Revision Theory of Truth into the formal framework of Kripkean fixed-point semantics. In Kripke-style theories the final set of grounded true sentences can be reached from below along a strictly increasing sequence of sets of grounded true sentences: in this sense, each stage of the construction can be viewed as an improvement on the previous ones. I want to (...) do something similar replacing the Kripkean sets of grounded true sentences with revision-theoretic sets of stable true sentences. This can be done by defining a monotone operator through a variant of van Fraassen’s supervaluation scheme which is simply based on ω-length iterations of the Tarskian operator. Clearly, all virtues of Kripke-style theories are preserved, and we can also prove that the resulting set of “grounded” true sentences shares some nice features with the sets of stable true sentences which are provided by the usual ways of formalising revision. What is expected is that a clearer philosophical content could be associated to this way of doing revision; hopefully, a content directly linked with the insights underlying finite revision processes. (shrink)

Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work. But can LMs help us with critical thinking -- thinking in deeper, more reflective ways which challenge assumptions, clarify ideas, and engineer new concepts? We treat philosophy as a case study in critical thinking, and interview 21 professional philosophers about how they engage in critical thinking and on their experiences with LMs. We find that philosophers do not find LMs (...) to be useful because they lack a sense of selfhood (memory, beliefs, consistency) and initiative (curiosity, proactivity). We propose the selfhood-initiative model for critical thinking tools to characterize this gap. Using the model, we formulate three roles LMs could play as critical thinking tools: the Interlocutor, the Monitor, and the Respondent. We hope that our work inspires LM researchers to further develop LMs as critical thinking tools and philosophers and other 'critical thinkers' to imagine intellectually substantive uses of LMs. (shrink)

This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and (...) these relations are coordinated by a model commentary. Surrogate models are often about single mechanisms. They are distinguishable from substitute models, which are examined without any concern about their connections with the target. Models as credible worlds are surrogate models that are believed to provide access to their targets on account of their credibility (of which a few senses are distinguished). (shrink)

In this article, I argue that the use of scientific models that attribute intentional content to complex systems bears a striking similarity to the way in which statistical descriptions are used. To demonstrate this, I compare and contrast an intentional model with a statistical model, and argue that key similarities between the two give us compelling reasons to consider both as a type of phenomenological model. I then demonstrate how intentional descriptions play an important role in scientific methodology as (...) a type of phenomenal model, and argue that this makes them as essential as any other model of this type. (shrink)

Most philosophical accounts of scientific models assume that models represent some aspect, or some theory, of reality. They also assume that interpretation plays only a supporting role. This paper challenges both assumptions. It proposes that models can be used in science to interpret reality. (a) I distinguish these interpretative models from representational ones. They find new meanings in a target system’s behaviour, rather than fit its parts together. They are built through idealisation, abstraction and recontextualisation. (b) (...) To show how interpretative models work, I offer a case study on the scientific controversy over foetal pain. It highlights how pain scientists use conflicting models to interpret the human foetus and its behaviour, and thereby to support opposing claims about whether the foetus can feel pain. (c) I raise a sceptical worry and a methodological challenge for interpretative models. To address the latter, I use my case study to compare how interpretative and representational models ought to be evaluated. (shrink)

Both the irreducible complexity of biological phenomena and the aim of a universalized biology (life-as-it-could-be) have lead to a deep methodological shift in the study of life; represented by the appearance of ALife, with its claim that computational modelling is the main tool for studying the general principles of biological phenomenology. However this methodological shift implies important questions concerning the aesthetic, engineering and specially the epistemological status of computational models in scientific research: halfway between the well established categories of (...) theory and experiment. ALife models become powerful epistemic artefacts allowing the simulation of emergent phenomena, the interaction between different levels of organization and the integration of different causal factors in the very same manipulable object. The use of computational models in ALife can be classified in four main categories depending on their position between theoretical and empirical practices: generic, conceptual, functional and mechanistic. For each of these categories we analyse their epistemic value and select paradigmatic examples that illustrate how ALife models can be fruitfully inserted in the study of life. (shrink)

Two experiments with undergraduates as subjects tested explanations of how a prior temporary income change influences choices between buying and deferred buying. In Experiment 1 predictions from the behavioral life-cycle theory (Shefrin & Thaler, 1988), the renewable resources model (Linville & Fischer, 1991) and the loss-sensitivity principle (Garling & Romanus, 1997) were contrasted. The results are inconsistent with the latter two explanations since the framing of buying as positive (buying a new model of a product) or negative (replacing a broken (...) product) did not interact with the income change. Congruent with the behavioral life-cycle theory, willingness to buy was greater when subjects received a temporary income increase than when they received a temporary income decrease although total assets were equal. Further support for the behavioral life-cycle theory is obtained in Experiment 2 where four income-change conditions and durable and nondurable goods are compared. (shrink)

In Economics Rules, Dani Rodrik (2015) argues that what makes economics powerful despite the limitations of each and every model is its diversity of models. Rodrik suggests that the diversity of models in economics improves its explanatory capacities, but he does not fully explain how. I offer a clearer picture of how models relate to explanations of particular economic facts or events, and suggest that the diversity of models is a means to better economic explanations.

Synthetic biology is described as a new field of biotechnology that models itself on engineering sciences. However, this view of synthetic biology as an engineering field has received criticism, and both biologists and philosophers have argued for a more nuanced and heterogeneous understanding of the field. This paper elaborates the heterogeneity of synthetic biology by clarifying the role of design and the variability of design methodologies in synthetic biology. I focus on two prominent design methodologies: rational design and directed (...) evolution. Rational design resembles the design methodology of traditional engineering sciences. However, it is often replaced and complemented by the more biologically-inspired method of directed evolution, which models itself on natural evolution. These two approaches take philosophically different stances to the design of biological systems. Rational design aims to make biological systems more machine-like, whereas directed evolution utilizes variation and emergent features of living systems. I provide an analysis of the methodological basis of these design approaches, and highlight important methodological differences between them. By analyzing the respective benefits and limitations of these approaches, I argue against the engineering-dominated conception of synthetic biology and its “methodological monism”, where the rational design approach is taken as the default design methodology. Alternative design methodologies, like directed evolution, should be considered as complementary, not competitive, to rational design. (shrink)

I defend a one category ontology: an ontology that denies that we need more than one fundamental category to support the ontological structure of the world. Categorical fundamentality is understood in terms of the metaphysically prior, as that in which everything else in the world consists. One category ontologies are deeply appealing, because their ontological simplicity gives them an unmatched elegance and spareness. I’m a fan of a one category ontology that collapses the distinction between particular and property, replacing it (...) with a single fundamental category of intrinsic characters or qualities. We may describe the qualities as qualitative charactersor as modes, perhaps on the model of Aristotelian qualitative (nonsubstantial) kinds, and I will use the term “properties” interchangeably with “qualities”. The qualities are repeatable and reasonably sparse, although, as I discuss in section 2.6, there are empirical reasons that may suggest, depending on one’s preferred fundamental physical theory, that they include irreducibly intensive qualities. There are no uninstantiated qualities. I also assume that the fundamental qualitative natures are intrinsic, although physics may ultimately suggest that some of them are extrinsic. On my view, matter, concrete objects, abstract objects, and perhaps even spacetime are constructed from mereological fusions of qualities, so the world is simply a vast mixture of qualities, including polyadic properties (i.e., relations). This means that everything there is, including concrete objects like persons or stars, is a quality, a qualitative fusion, or a portion of the extended qualitative fusion that is the worldwhole. I call my view mereological bundle theory. (shrink)

Our standard model-theoretic definition of logical consequence is originally based on Alfred Tarski’s (1936) semantic definition, which, in turn, is based on Rudolf Carnap’s (1934) similar definition. In recent literature, Tarski’s definition is described as a conceptual analysis of the intuitive ‘everyday’ concept of consequence or as an explication of it, but the use of these terms is loose and largely unaccounted for. I argue that the definition is not an analysis but an explication, in the Carnapian sense: the replacement (...) of the inexact everyday concept with an exact one. Some everyday intuitions were thus brought into a precise form, others were ignored and forgotten. How exactly did the concept of logical consequence change in this process? I suggest that we could find some of the forgotten intuitions in Bernard Bolzano’s (1837) definition of ‘deducibility’, which is traditionally viewed as the main precursor of Tarski’s definition from a time before formalized languages. It turns out that Bolzano’s definition is subject to just the kind of natural features—paradoxicality of everyday language, Platonism about propositions, and dependence on the external world—that Tarski sought to tame by constructing an artificial concept for the special needs of mathematical logic. (shrink)

An elementary algebra identifies conceptual and corresponding applicational limitations in John Kemeny and Paul Oppenheim’s (K-O) 1956 model of theoretical reduction in the sciences. The K-O model was once widely accepted, at least in spirit, but seems afterward to have been discredited, or in any event superceeded. Today, the K-O reduction model is seldom mentioned, except to clarify when a reduction in the Kemeny-Oppenheim sense is not intended. The present essay takes a fresh look at the basic mathematics of K-O (...) comparative vocabulary theoretical term reductions, from historical and philosophical standpoints, as a contribution to the history of the philosophy of science. The K-O theoretical reduction model qualifies a theory replacement as a successful reduction when preconditions of explanatory adequacy and comparable systematicization are met, and there occur fewer numbers of theoretical terms identified as replicable syntax types in the most economical statement of a theory’s putative propositional truths, as compared with the theoretical term count for the theory it replaces. The challenge to the historical model developed here, to help explain its scope and limitations, involves the potential for equivocal theoretical meanings of multiple theoretical term tokens of the same syntactical type. (shrink)

We introduce a novel point of view on the “models as mediators” framework in order to emphasize certain important epistemological questions about models in science which have so far been little investigated. To illustrate how this perspective can help answer these kinds of questions, we explore the use of simplified models in high energy physics research beyond the Standard Model. We show in detail how the construction of simplified models is grounded in the need to mitigate (...) pressing epistemic problems concerning the uncertainty inherent in the present theoretical and experimental contexts. (shrink)

Evidence based medicine (EBM) is under critical debate, and person centered healthcare (PCH) has been proposed as an improvement. But is PCH offered as a supplement or as a replacement of EBM? Prima facie PCH only concerns the practice of medicine, while the contended features of EBM also include methods and medical model. I here argue that there are good philosophical reasons to see PCH as a radical alternative to the existing medical paradigm of EBM, since the two seem committed (...) to conflicting ontologies. This paper aims to make explicit some of the most fundamental assumptions that motivate EBM and PCH, respectively, in order to show that the choice between them ultimately comes down to ontological preference. While EBM has a solid foundation in positivism, or what I here call Humeanism, PCH is more consistent with causal dispositionalism. I conclude that if there is a paradigmatic revolution on the way in medicine, it is first of all one of ontology. (shrink)

Xuanzang (602–664) is famous for his legendary life, his important translation works, and also his Discourse on the Realisation of Consciousness-Only (Vijñapti-mātratā-siddhi, 成唯識論). This text, which is considered as a synthesis of Yogācāra thought, has been diversely interpreted by modern scholars and is still discussed, in particular about the status of external things. Nevertheless, this issue seems to be of little interest for Yogācāra thinkers compared to other topics such as the Noble Path, or else the three types of wisdom (...) (trividhā prajñā, 三慧): learning (śruta, 聞), reasoning (cintā, 思), and cultivating (bhāvanā, 修). As emphasized in recent research, this topic represents a major issue for Buddhist practitioners. In an attempt to analyse it in Xuanzang’s Discourse, and more generally in Yogācāra thought, this paper will first discuss Asaṅga’s and Vasubandhu’s thought on the three types of wisdom. Secondly, since it is important to replace the three types of wisdom in the general argumentation of Xuanzang’s Discourse, we will present the structure of his text which is modelled on a “path” leading progressively to Supreme Awakening. Then, we will present the main elements of the Noble Path and situate the three types of wisdom into it. Finally, we will explain that Xuanzang follows Asaṅga’s and Vasubandhu’s conceptions and eventually confirm the importance of the three types of wisdom in Yogācāra thought. (shrink)

Agent-based models (ABMs) are one type of simulation model used in the context of the COVID-19 pandemic. In contrast to equation-based models, ABMs are algorithms that use individual agents and attribute changing characteristics to each one, multiple times during multiple iterations over time. This paper focuses on three philosophical aspects of ABMs as models of causal mechanisms, as generators of emergent phenomena, and as providers of explanation. Based on my discussion, I conclude that while ABMs cannot help (...) much with causal inference, they can be viewed as etio-prognostic explanations of illness occurrence and outcome. (shrink)