This paper examines the work of Immanuel Kant in the light of a new theory on the nature of truth, knowledge and falsehood (the Inversion Theory of Truth). Kant’s idea that knowledge could be absolutely certain, and that its truth must correspond with reality, is discredited by a dissection of the Correspondence Theory of Truth. This examination of the nature of truth, as well as knowledge and falsehood, is conducted with reference to Sir Karl (...) Popper’s writings on regulative ideas, the criterion of demarcation and the principle of falsifiability. It is argued that if truth is to be regarded as certain, it should be used to describe objects and events in the objective (noumenal) state, and that subjective knowledge must contain (and is improved by) falsehood. Perceptions and knowledge are obtained by the biological and evolutionary process of Active Subjectivism. Ideas we have knowledge of can be metaphysical or scientific, according to Popper’s Criterion of Demarcation. Kant’s “Copernican revolution” claim that our intellect imposes absolutely true laws on nature could not allow for the possibility that ideas might be constructed from fallible perceptions, and hence that all knowledge is uncertain. Instead, he developed a Critique of Practical Reason in which religion, though not provable through logical reasoning, could be proved by our innate moral sense, giving us a Categorical Imperative that could lead to perverse results. By rejecting the absolute certainty of a priori knowledge, and admitting a degree of essential falsehood, we arrive at a more reasonable grounding for moral behavior. (shrink)

In this study, the existing definitions of thought experiments and the origin of this concept with its first usage in history will be discussed. Then, the epistemology of Ernst Mach, who conducted the first systematic research on thought experiments, will be provided in order to grasp his views on this subject correctly. In this context, the views of James Brown and John Norton, who support different positions, will be briefly described in order to draw the general framework of the epistemological (...) status of thought experiments. Finally, it will be revealed that the biological theory of knowledge and the doctrine of the economy of thought are the sources of Mach’s ‘instinctive knowledge’ argument about scientific thought experiments. (shrink)

Probably the most distinctive feature of synthetic biology is its being “synthetic” in some sense or another. For some, synthesis plays a unique role in the production of knowledge that is most distinct from that played by analysis: it is claimed to deliver knowledge that would otherwise not be attained. In this contribution, my aim is to explore how synthetic biology delivers knowledge via synthesis, and to assess the extent to which this knowledge is distinctly synthetic. (...) On the basis of distinctions between knowledge-how and knowledge-why, and between syntheses that succeed and syntheses that fail, I argue that the contribution of synthesis to knowledge is best understood when syntheses are construed as experimental interventions that aim at probing causal relationships between properties of the entities that are combined through these syntheses and properties of their target products. The distinctiveness of synthetic biology in its quest for knowledge through synthesis stems from its ability to sample at will a space of empirical possibilities that is not only huge but also that has been so scarcely sampled by nature. (shrink)

The mathematical universe hypothesis is a theory that the physical universe is not merely described by mathematics, but is mathematics, specifically a mathematical structure. Our research provides evidence that the mathematical structure of the universe is biological in nature and all systems, processes, and objects within the universe function in harmony with biological patterns. Living organisms are the result of the universe’s biological pattern and are embedded within their physiology the patterns of this biological universe. (...) Therefore physiological patterns in living organisms can be used as models to structurally map analogies from the biological domain to any target domain to reveal and understand the biological nature of the target domain. Our paper explores various analogies, structurally mapping a red blood cell to a cup; proteins produced from ribosomes to music produced from instruments; a beating heart to the melting and freezing of Antartica; cells, tissue, organs and blood, to people, organizations, industries, and money, and; bio-economic concepts in cellular society to socioeconomic concepts in human society. It also discusses how phenomena in cellular mitosis can help explain phenomena in the universe, such as black holes, dark matter, dark energy, and the structure of the universe. Building upon the concept of perennial wisdom, our research has provided evidence that the ideas of a biological universe were expressed across many past cultures and historical periods. The implications of this theory are vast, encompassing fields such as physics, science, philosophy, religion, law, economics, politics, and engineering, thus serving as a unifying theory for all knowledge. Our theory is supported by meta-analysis of scientific, historic, and religious literature, observations and first principles logic. (shrink)

Change is the fundamental idea of evolution. Explaining the extraordinary biological change we see written in the history of genomes and fossil beds is the primary occupation of the evolutionary biologist. Yet it is a surprising fact that for the majority of evolutionary research, we have rarely studied how evolution typically unfolds in nature, in changing ecological environments, over space and time. While ecology played a major role in the eventual acceptance of the population genetic viewpoint of evolution in (...) the synthetic era (circa 1918-1956), it held a lesser role in the development of evolutionary theory until the 1980s, when we began to systematically study the evolutionary dynamics of natural populations in space and time. As a result, early evolutionary theory was initially constructed in an abstract vacuum that was unrepresentative of evolution in nature. The subtle synthesis between ecology with evolutionary biology (eco-evo synthesis) over the past 40 years has progressed our knowledge of natural selection dynamics as they are found in nature, thus revealing how natural selection varies in strength, direction, form, and, more surprisingly, level of biological organization. Natural selection can no longer be reduced to lower levels of biological organization (i.e., individuals, selfish genes) over shorter timescales but should be expanded to include adaptation at higher levels and over longer timescales. Long-term and/or emergent evolutionary phenomena, such as multilevel selection or evolvability, have thus become tenable concepts within an evolutionary biology that embraces ecology and spatiotemporal change. Evolutionary biology is currently suspended at an intermediate stage of scientific progress that calls for the organization of all the recent knowledge revealed by the eco-evo synthesis into a coherent and unified theoretical framework. This is where philosophers of biology can be of particular use, acting as a bridge between the subdisciplines of biology and inventing new theoretical strategies to organize and accommodate the recent knowledge. Philosophers have recommended transitioning away from outdated philosophies that were originally derived from physics within the philosophical zeitgeist of logical positivism (i.e., monism, reductionism, and monocausation) and toward a distinct philosophy of biology that can capture the natural complexity of multifaceted biological systems within diverse ecosystems—one that embraces the emerging philosophies of pluralism, emergence, and multicausality. Therefore, I see recent advances in ecology, evolutionary biology, and the philosophy of biology as laying the groundwork for another major biological synthesis, what I refer to as the Second Synthesis because, in many respects, it is analogous to the aims and outcomes of the first major biological synthesis (but is notably distinct from the inorganic and contrived progressive movement known as the extended evolutionary synthesis). With the general development of a distinctive philosophy of science, biology has rightfully emerged as an autonomous science. Thus, while the first synthesis legitimized biology, the Second Synthesis autonomized biology and afforded biology its own philosophy, allowing biology to finally realize its full scientific potential. (shrink)

According to one large family of views, scientific explanations explain a phenomenon (such as an event or a regularity) by subsuming it under a general representation, model, prototype, or schema (see Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441; Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge: MIT Press; Darden (2006); Hempel, C. G. (1965). Aspects of (...) scientific explanation. In C. G. Hempel (Ed.), Aspects of scientific explanation (pp. 331–496). New York: Free Press; Kitcher (1989); Machamer, P., Darden, L., & Craver, C. F. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1–25). My concern is with the minimal suggestion that an adequate philosophical theory of scientific explanation can limit its attention to the format or structure with which theories are represented. The representational subsumption view is a plausible hypothesis about the psychology of understanding. It is also a plausible claim about how scientists present their knowledge to the world. However, one cannot address the central questions for a philosophical theory of scientific explanation without turning one’s attention from the structure of representations to the basic commitments about the worldly structures that plausibly count as explanatory. A philosophical theory of scientific explanation should achieve two goals. The first is explanatory demarcation. It should show how explanation relates with other scientific achievements, such as control, description, measurement, prediction, and taxonomy. The second is explanatory normativity. It should say when putative explanations succeed and fail. One cannot achieve these goals without undertaking commitments about the kinds of ontic structures that plausibly count as explanatory. Representations convey explanatory information about a phenomenon when and only when they describe the ontic explanations for those phenomena. (shrink)

This essay explores the creation and evolution of life and consciousness through the lens of a biological framework for understanding the universe. The theory posits that the patterns inherent in biological systems mirror the underlying mathematical principles of the cosmos. Thus, every pattern that manifests from the universe’s “parent-pattern” contains a fundamental biological-pattern inherent to its function, revealing the objective nature and purpose of that thing. Examples include the way ocean currents resemble a circulatory system and (...) how socioeconomic phenomena mimic cellular order. These correspondences suggest that life and consciousness are products of the universe’s biologically-patterned processes, and understanding these patterns is crucial for humanity's survival, especially as human society and environment becomes more complex—requiring a truer understanding of reality reality and how to organize themselves within it. The paper further argues that historical and philosophical concepts, such as Atman and Brahman in the Upanishads, Pnimiyut and Chitzoniyut in Kabbalah (Judaism), Batin and Zahir in Sufism (Islam), and many more align with this framework. The essay emphasizes that aligning human society with these biological patterns, as seen in biomimicry, is necessary for continued survival and harmony with the universe. The essay provides scientific studies and analogies supporting these ideas, illustrating how biological patterns are reflected across different domains of knowledge. (shrink)

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative (...) model of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

This essay explains Donald Hoffman's Interface Theory of Perception using The Biological Framework for a Mathematical Universe proposed by Ronald Williams. According to Hoffman, what we perceive is more like a “desktop interface with icons representing complex underlying processes, rather than a direct window into the true nature of the world." The theory of a biological framework for a mathematical universes suggests that these complex underlying processes of “the desktop interface with icons” contain correspondences to (...) class='Hi'>biological systems. For example, “the desktop icons” of the ocean’s arctic currents and the melting and freezing of Antartica contain “complex underlying processes” which mirror the processes of a circulatory system and beating heart. While indeed we do interpret reality from a superficial perspective as Hoffman suggests, our cognitive abilities are enhanced enough to recognize correspondences to these patterns pertaining to these biological systems which reveal the true nature of the world/universe/reality and thus highlight our evolved perceptual systems which can enable us how to recognize these patterns and organize ourselves to them in order to best survive it. Another example of a “desktop icon” is human society—the order and properties of human society contain “complex underlying processes” that are analogous to the order and properties of cellular society—thus “socioeconomic problems” can be understood through cellular economic problems. Moreover, the solution to the cellular economic problem is the solution to the socioeconomic problem. (shrink)

Bernard Lonergan has argued for a theory of cognition that is transcendentally secure, that is, one such that any plausible attempt to refute it must presuppose its correctness, and one that also grounds a correct metaphysics and ontology. His proposal combines an identity theory of knowledge with an intentional relation between knower and known. It depends in a crucial way upon an appropriation of one’s own cognitional motives and acts, that is, upon “knowing one’s own knowing.” I (...) argue that because of conflicts between the identity and intentionality components of the theory, rational self-appropriation cannot, as Lonergan claims, be an iteration of just the same acts by which we acquire other sorts of knowledge. I propose an amended theory in which the relation between intending-subject and intended-object of first-level cognition becomes, in RSA, a numerical identity of knower and known and of the epistemic and the ontological. (shrink)

The central question of this article is how to combine counterfactual theories of knowledge with the notion of actuality. It is argued that the straightforward combination of these two elements leads to problems, viz. the problem of easy knowledge and the problem of missing knowledge. In other words, there is overgeneration of knowledge and there is undergeneration of knowledge. The combination of these problems cannot be solved by appealing to methods by which beliefs are formed. (...) An alternative solution is put forward. The key is to rethink the closeness relation that is at the heart of counterfactual theories of knowledge. (shrink)

This article discusses a kind of knowledge classifiable as knowledge-wh but which seems to defy analysis in terms of the standard reductive theory of knowledge-wh ascriptions, according to which they are true if and only if one knows that p, where this proposition is an acceptable answer to the wh-question ‘embedded’ in the ascription. Specifically, it is argued that certain cases of knowing what an experience is like resist such treatment. I argue that in some of (...) these cases, one can know that p, where an acceptable answer to the question ‘What’s the experience like?’ is that p, but where one does not know what the experience is like. This could point to the distinctiveness of this sort of knowledge. (shrink)

In the contemporary philosophy of mind and consciousness studies, views such as panpsychism or theories of universal consciousness, have enjoyed a recent renaissance of metaphysical speculations in Western philosophy. Its similarities with Eastern philosophical traditions went not unnoticed. However, the potential contribution that the evolutionary cosmology of the Indian poet, mystic and philosopher Sri Aurobindo can offer to these ontologies, remains largely unknown or unexplored. Here, consciousness, mind, life, matter and evolution are interpreted in an extended metaphysical framework, uniting Western (...) and Eastern traditions inside a modern philosophical system where materialism, panpsychism, cosmopsychism and philosophical idealism are not seen as irreconcilable exclusives, but different points of view that can be reconciled in a synthesis of knowledge, as envisioned from higher states of consciousness. This integral view of reality offers a conceptual platform that can complement and incorporate current theoretical approaches in modern philosophy, where their present internal inconsistencies do not emerge, and can be suggestive for scientists as well, especially in the fields of biology and physical sciences. (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' (...) pretension vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

Sophocles’ Oedipus the King is an extended meditation on the limits of human intelligence, or more precisely, on how a man renowned for the power of his intellect could fail to know the most important truths. One could argue, however, that Sophocles intended for his audiences to take away a second, narrower lesson: namely that divinely inspired seers such as Tiresias have a surer claim on truth than do those who, like Oedipus, seek to gain knowledge through their own (...) efforts. Thus, the Oedipus can be seen as a defense of prophecy and a reaction against the complex of scientific and philosophical ideas known as “the 5th-century Enlightenment.” I offer some support for this reading of the Oedipus. I also argue that part of the cultural background of the Oedipus consisted of ideas about knowledge introduced into Greek thought by the outspoken critic of Greek popular religion, Xenophanes of Colophon. (shrink)

Here is a definition of knowledge: for you to know a proposition p is for you to have an outright belief in p that is correct precisely because it manifests the virtue of rationality. This definition resembles Ernest Sosa’s “virtue theory”, except that on this definition, the only virtue that must be manifested in all instances of knowledge is rationality, and no reductive account of rationality is attempted—rationality is assumed to be an irreducibly normative notion. This definition (...) is compatible with “internalism” about rationality, and with a form of “pragmatic encroachment” on the conditions of rational outright belief. An interpretation is given of this definition, and especially of the sense of ’because’ that it involves. On this interpretation, this definition entails that both safety and adherence are necessary conditions on knowledge; it supports a kind of contextualism about terms like ‘knowledge’; and it provides resources to defend safety, adherence, and contextualism, against some recent objections. (shrink)

Abstract In this paper I present a short outline of an Indicativity Theory of Knowledge, for the cases of Perceptual Knowledge and Knowledge by Memory. I explain the main rationale for a token-indicativity approach, and how it is fleshed out precisely in terms of chances. I elaborate on the account of the value of knowledge it provides, and what that value is. I explain why, given the rationale of conceiving Knowledge as token indicativity, separate (...) sub-accounts in terms of chances should be extracted for the different modes of Knowledge, elaborating on the common core of high token-indicativity. In the main section that outlines the account of Perceptual Knowledge, the main Indicativity condition is presented, as are the main condition of in what sense high token indicativity should yields high chance, the important Discriminability condition, and its associated Contrast Class. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, (...) yet it is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, (...) and argue that they constitute an example of classificatory theory. This form of theorizing emerges from classification practices in conjunction with experimental know-how and expresses the knowledge underpinning the analysis and interpretation of data disseminated online. (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)

In Pantsar (2014), an outline for an empirically feasible epistemological theory of arithmetic is presented. According to that theory, arithmetical knowledge is based on biological primitives but in the resulting empirical context develops an essentially a priori character. Such contextual a priori theory of arithmetical knowledge can explain two of the three characteristics that are usually associated with mathematical knowledge: that it appears to be a priori and objective. In this paper it is (...) argued that it can also explain the ... (shrink)

For millennia, knowledge has eluded a precise definition. The industrialization of knowledge (IoK) and the associated proliferation of the so-called knowledge communities in the last few decades caused this state of affairs to deteriorate, namely by creating a trio composed of data, knowledge, and information (DIK) that is not unlike the aporia of the trinity in philosophy. This calls for a general theory of knowledge (ToK) that can work as a foundation for a science (...) of knowledge (SoK) and additionally distinguishes knowledge from both data and information. In this paper, I attempt to sketch this generality via the establishing of both knowledge structures and knowledge systems that can then be adopted/adapted by the diverse communities for the respective knowledge technologies and practices. This is achieved by means of a formal–indeed, mathematical–approach to epistemological matters a.k.a. formal epistemology. The corresponding application focus is on knowledge systems implementable as computer programs. (shrink)

From Knowledge to Wisdom argues that there is an urgent need, for both intellectual and humanitarian reasons, to bring about a revolution in science and the humanities. The outcome would be a kind of academic inquiry rationally devoted to helping humanity learn how to create a better world. Instead of giving priority to solving problems of knowledge, as at present, academia would devote itself to helping us solve our immense, current global problems – climate change, war, poverty, population (...) growth, pollution... of sea, earth and air, destruction of natural habitats and rapid extinction of species, injustice, tyranny, proliferation of armaments, conventional, chemical, biological and nuclear, depletion of natural resources. The basic intellectual aim of inquiry would be to seek and promote wisdom – wisdom being the capacity to realize what is of value in life for oneself and others, thus including knowledge and technological know-how, but much else besides. This second edition has been revised throughout, has additional material, a new introduction and three new chapters. (shrink)

Hans Jonas’ “philosophical biology,” although developed several decades ago, is still fundamental to the contemporary reflection upon the meaning of life in a systems thinking perspective. Jonas, in fact, closely examines the reasons of modern science, and especially of Wiener’s Cybernetics and Bertalanffy’s General System Theory, and at the same time points out their basic limits, such as their having a reductionistic attitude to knowledge and ontology. In particular, the philosopher highlights the problematic consequences of scientific reductionism for (...) human nature. As the final result of an overall process of naturalization, the essence of the human being is reduced to its quantitative features only, while the “meaning” of life as such becomes no different from the “fact” of its material consistency. However, the problem is that by such a process, the human being is deprived of his specificity. (shrink)

In psychiatry, pharmacological research has played a crucial role in the formulation, revision, and refinement of neurobiological theories of psychopathology. Besides being utilized as potential treatments for various mental disorders, pharmacological drugs play an important epistemic role as experimental instruments that help scientists uncover the neurobiological underpinnings of mental disorders (Tsou, 2012). Interventions with psychiatric patients using pharmacological drugs provide researchers with information about the neurobiological causes of mental disorders that cannot be obtained in other ways. This important source of (...) evidence for the biological causes of mental disorder is often overlooked in philosophical analyses of psychiatry, especially in skeptical analyses that debase the biological aspects of psychopathology (e.g., Szasz, 1960; Scheff, 1963; Laing, 1967). In discussing pharmacological interventions as a form of evidence for the physical basis of mental disorders, this paper aims to clarify the nature, reliability, and limitations of this evidence. In addition, it illustrates the central role that pharmacological findings in applied clinical contexts play in the acquisition of neurobiological knowledge in research contexts. (shrink)

This paper develops a new structural psychology, and therein proposes a specific model for the scientific study of consciousness. The presented model uses Earth's geologic history of mass-extinction & recovery (evolutionary dynamics) in determining humanity’s adaptive response (conscious and non-conscious traits). It argues humanity adaptively mirrors Earth’s basic evolutionary dynamics, in a “mythologizing of natural adversity” as foundation for all human knowledge – a process that continues well into the modern era. The intellectual lineage used to develop this model (...) includes: • Evolutionary biology offers a context for this study – answering Chalmers’ “hard question,” • Paleoanthropology defines the circumstance of human emergence from Gaia, • Environmental forces on neurophysiology derive an ambiguous but instructive narrative logic (mythic sensibility), • Psychology tracks humanity’s shift from animal-self to modern creative-self, using work of Hegel > Freud > Jung > Rank > Joseph Campbell > Arnold Mindell as a new structural psychology, • Fractal geometry offers a holographic design for modeling consciousness, • Memetics presents a tool for measuring conscious traits, in a variation of the Hall-Tonna values inventory, • Finally, Structured Opportunistic Thinking, a hybrid of NTL’s T-group, and Pierce’s Power Equity Group Theory, suggests a developmental methodology. This work presents a “general hypothesizing model” of human consciousness, in attempting a science of consciousness. (shrink)

This article provides the foundation for a new predictive theory of animal learning that is based upon a simple logical model. The knowledge of experimental subjects at a given time is described using logical equations. These logical equations are then used to predict a subject’s response when presented with a known or a previously unknown situation. This new theory suc- cessfully anticipates phenomena that existing theories predict, as well as phenomena that they cannot. It provides a theoretical (...) account for phenomena that are beyond the domain of existing models, such as extinction and the detection of novelty, from which “external inhibition” can be explained. Examples of the methods applied to make predictions are given using previously published results. The present theory proposes a new way to envision the minimal functions of the nervous system, and provides possible new insights into the way that brains ultimately create and use knowledge about the world. (shrink)

The ambiguity theory of “knows” is the view that knows and its cognates have more than one propositional sense—i.e., more than one sense that can properly be used in “knows that” etc. constructions. The ambiguity theory of “know” has received relatively little attention as an account of the truth-conditions for knowledge ascriptions and denials—especially compared to views like classical, moderate invariantism and epistemic contextualism. In this paper, it is argued that the ambiguity theory of knows has (...) an advantage over both classical, moderate invariantism and epistemic contextualism. This advantage is that it is the only one of these views that can account for “diverging knowledge responses without inconsistency” —i.e., cases in which, for the same subject S and proposition p, one and the same speaker says truly “S knows p” but instead could have truly said “S does not know p” and vice versa. This paper argues both for the existence of DRWI scenarios and the ability of the ambiguity theory of knows to best explain their existence. (shrink)

Theory of "conceptual pragmatism" takes into account both modern philosophical thought and modern mathematics. Stimulating discussions of metaphysics, a priori, philosophic method, much more.

The notion of credit plays a central role in virtue epistemology and in the literature on moral worth. While virtue epistemologists and ethicists have devoted a significant amount of work to providing an account of creditable success, a unified theory of credit applicable to both epistemology and ethics, as well as a discussion of the general form it should take, are largely missing from the literature. Our goal is to lay out a theory of credit that seems to (...) underlie much of the discussion in virtue epistemology, which we dub the Cake Theory. We argue that given the goals that virtue epistemologists and ethicists who discuss moral worth have, this theory is problematic, for it makes credit depend on the wrong facts. (shrink)

Anyone familiar with Russell’s work on the multiple-relation theory of judgment will at some point have puzzled over the map of the five-term understanding complex at the end of Chapter 1, Part II of his Theory of Knowledge (1913). Russell presents the map with the intention of clarifying what goes on when a subject S understands the “proposition” that A and B are similar. But the map raises more questions than it answers. In this paper I present (...) and develop some of the central issues that arise from Russell’s map, and I offer an interpretation of it that reflects his evolving views in the manuscript. I argue that multiple lines in the map are not meant to represent many relations, but rather one comprehensive multiple relation of understanding. And I argue that such a relation relates in a complex way due to the distinctive nature of its relata. (shrink)

A theory of knowledge is the explanation of things in terms of the possibilities and capabilities of the human way of knowing. The human knowledge is the representation of the things apprehended sensitively either through the senses or intuition. A theory of knowledge concludes about the reality of the things studied. As such it is a priori speculation, based on synthetic a priori statements. Its conclusions constitute interpretation, that is, hermeneutics. Linguistics as the science studying (...) real language, that is, the language spoken, reverts to human subjects in as much as they speak, say and know. Language thus must be studied as a theory of knowledge. (shrink)

Is knowledge consistent with literally any credence in the relevant proposition, including credence 0? Of course not. But is credence 0 the only credence in p that entails that you don’t know that p? Knowledge entails belief (most epistemologists think), and it’s impossible to believe that p while having credence 0 in p. Is it true that, for every value of ‘x,’ if it’s impossible to know that p while having credence x in p, this is simply because (...) it’s impossible to believe that p while having credence x in p? If so, is it possible to believe that p while having (say) credence 0.4 in p? These questions aren’t standard epistemological fare, at least in part because many epistemologists think their answers are obvious, but they have unanticipated consequences for epistemology. Let ‘improbabilism’ name the thesis that it’s possible to know that p while having a credence in p below 0.5. Improbabilism will strike many epistemologists as absurd, but careful reflection on these questions reveals that, if improbabilism is false, then all of the most plausible theories of knowledge are also false. Or so I argue in this paper. Since improbabilism is widely rejected by epistemologists (at least implicitly), this paper reveals a tension between all of the most plausible theories of knowledge and a widespread assumption in epistemology. (shrink)

Kant mentions two faculties of the mind that are involved in the knowing process, namely, sensibility and understanding. Through the former, the objects are “given” while through the latter, objects are “thought of.” The receiving faculty, that of sensibility, deals with space and time as pure intuitions. On the other, the thinking faculty - that of understanding, treats concepts or categories. Thus, these faculties of the human reason presuppose the two elements of knowledge: contents or intuitions and thoughts or (...) concepts for sensibility and understanding, respectively. This paper aims at presenting the coming-to-be of knowledge through the operations of the mind in Kant’s Critique of Pure Reason and critically exposes the correlation of sensibility and of understanding in the knowing process. (shrink)

The present article is an attempt to give - in the frame of the theory of the organism - environment system - a new interpretation to the role of efferent influences on receptor activity and to the functions of senses in the formation of knowledge. It is argued, on the basis of experimental evidence and theoretical considerations, that the senses are not transmitters of environmental information, but they create a direct connection between the organism and the environment, which (...) makes the development of a dynamic living system, the organism - environment system, possible. In this connection process the efferent influences on receptor activity are of particular significance, because with their help the receptors may be adjusted in relation to the parts of the environment which are most important in the achievement of behavioral results. Perception is the process of joining of new parts of the environment to the organism - environment system ; thus, the formation of knowledge by perception is based on reorganization of the organism - environment system, and not on transmission of information from the environment. With the help of the efferent influences on receptors each organism creates its own peculiar world which is simultaneously subjective and objective. The present considerations have far reaching influences as well on experimental work in neurophysiology and psychology of perception as on philosophical considerations of knowledge formation. (shrink)

Ethnobiology has become increasingly concerned with applied and normative issues such as climate change adaptation, forest management, and sustainable agriculture. Applied ethnobiology emphasizes the practical importance of local and traditional knowledge in tackling these issues but thereby also raises complex theoretical questions about the integration of heterogeneous knowledge systems. The aim of this article is to develop a framework for addressing questions of integration through four core domains of philosophy -epistemology, ontology, value theory, and political theory. (...) In each of these dimensions, we argue for a model of “partial overlaps” that acknowledges both substantial similarities and differences between knowledge systems. While overlaps can ground successful collaboration, their partiality requires reflectivity about the limitations of collaboration and co-creation. By outlining such a general and programmatic framework, the article aims to contribute to developing “philosophy of ethnobiology” as a field of interdisciplinary exchange that provides new resources for addressing foundational issues in ethnobiology and also expands the agenda of philosophy of biology. (shrink)

Rachael Briggs and Daniel Nolan attempt to improve on Nozick’s tracking theory of knowledge by providing a modified, dispositional tracking theory. The dispositional theory, however, faces more problems than those previously noted by John Turri. First, it is not simply that satisfaction of the theory’s conditions is unnecessary for knowledge – it is insufficient as well. Second, in one important respect, the dispositional theory is a step backwards relative to the original tracking (...) class='Hi'>theory: the original but not the dispositional theory can avoid Gettier-style counterexamples. Future attempts to improve the tracking theory would be wise to bear these problems in mind. (shrink)

Skepticism about the external world may very well be correct, so the question is in order: what theory of knowledge flows from skepticism itself? The skeptic can give a relatively simple and intuitive account of knowledge by identifying it with indubitable certainty. Our everyday ‘I know that p’ claims, which typically are part of practical projects, deploy the ideal of knowledge to make assertions closely related to, but weaker than, knowledge claims. The truth of such (...) claims is consistent with skepticism; various other vexing problems don’t arise. In addition, even if no claim about the world outside my mind can be more probable than its negation, the project of pure scientific research remains well motivated. (shrink)

The type-level abstraction is a formal way to represent molecular structures in biological practice. Graphical representations of molecular structures of biological objects are also used to identify functional processes of things. This paper will reveal that category theory is a formal mathematical language not only to visualize molecular structures of biological objects as type-level abstraction formally but also to understand how to infer biological functions from the molecular structures of biological objects. Category theory (...) is a toolkit to understand biological knowledge at the type-level formally, not individual token-level, as well as typical heuristic strategies in molecular biology. (shrink)

Aristotle was the first thinker to articulate a taxonomy of scientific knowledge, which he set out in Posterior Analytics. Furthermore, the “special sciences”, i.e., biology, zoology and the natural sciences in general, originated with Aristotle. A classical question is whether the mathematical axiomatic method proposed by Aristotle in the Analytics is independent of the special sciences. If so, Aristotle would have been unable to match the natural sciences with the scientific patterns he established in the Analytics. In this paper, (...) I reject this pessimistic approach towards the scientific value of natural sciences. I believe that there are traces of biology in the Analytics as well as traces of the Analytics’ theory in zoological treatises. Moreover, for a lack of chronological clarity, I think it’s better to unify Aristotle’s model of scientific research, which includes Analytics and the natural sciences together. (shrink)

An account of Plato’s theory of knowledge is offered. Plato is in a sense a contextualist: at least, he recognizes that his own use of the word for “knowledge” varies – in some contexts, it stands for the fullest possible level of understanding of a truth, while in other contexts, it is broader and includes less complete levels of understanding as well. But for Plato, all knowledge, properly speaking, is a priori knowledge of necessary truths (...) – based on recollection of aspects of the Forms – and so in contemporary terms, it meets the conditions of “safety” and “adherence” (or “indefeasibility”) to the highest degree. This account is defended on the basis of the text of Meno, Phaedo, and the Republic, against some objections – especially objections that are due to Gail Fine. (shrink)

This dissertation engages in a critical analysis of the work of Adolf Reinach in the theory of knowledge and legal philosophy. Reinach had trained as a lawyer and brought that perspective and experience to bear in his phenomenological work on problems in evidence and legal philosophy. His contributions to phenomenology in the early 20th century provide a window into the earliest phases of the development of the phenomenological movement, prior to World War I. This dissertation locates this work (...) in the European intellectual context of the era and finds analogies with key philosophical dilemmas and developments in England during the same period, arguably ones with shared intellectual roots. Valued for his talent as an inspiring university lecturer, Reinach was a central figure in the circle of young scholars who practiced phenomenology in the spirit of the "early" "pre-Ideen" phase of phenomenology. The dissertation Appendices include translations of selected excerpts from the Nachlass. My translation of the obituary Edmund Husserl wrote and published following Adolf Reinach's death in WWI is published separately. Professor Raymond Klibansky was my supervisor and mentor throughout. (shrink)

Paper type: Conceptual perspective. Background(s): Physics, biology, epistemology Perspectives: Theory of autopoietic systems, Popperian evolutionary epistemology and the biology of cognition. Context: This paper is a contribution to developing the theories of hierarchically complex living systems and the natures of knowledge in such systems. Problem: Dissonance between the literatures of knowledge management and organization theory and my observations of the living organization led to consideration of foundation questions: What does it mean to be alive? What is (...) knowledge? How are life and knowledge related? Method: The approach is synthetic and multidisciplinary. The concept of autopoiesis (as defined by Maturana) as a definition for life, and knowledge as a product of autopoiesis are developed from first principles regarding the behavior of dynamical systems in time. Results: Autopoiesis and the construction of knowledge are inseparable aspects of physical phenomena scalable to many levels of organization (e.g., cells, multicellular organisms, organizations, social systems, etc.). The result unifies theories of epistemology, physical dynamics, life, biological evolution, knowledge and social systems. Implications: Results highlight the importance to understand autopoiesis as first defined by Maturana and Varela – as a complex physical phenomenon persisting over time. Autopoietic “self-observation” is not paradoxical. As dynamic physical processes, any internal/external activities relating to “observations” are displaced in time. The worlds living systems act on are not those observed. “Circularly closed” systems are actually open spirals along the axis of time. (shrink)

Three puzzles about self-deception make this mental phenomenon an intriguing explanatory target. The first relates to how to define it without paradox; the second is about how to make sense of self-deception in light of the interpretive view of the mental that has become widespread in philosophy; and the third concerns why it exists at all. In this paper I address the first and third puzzles. First, I define self-deception. Second, I criticize Robert Trivers' attempt to use adaptionist evolutionary psychology (...) to solve the third puzzle (existence). Third, I sketch a theory to replace that of Trivers. Self-deception is not an adaptation, but a spandrel in the sense that Gould and Lewontin give the term: a byproduct of other features of human (cognitive) architecture. Self-deception is so undeniable a fact of human life that if anyone tried to deny its existence, the proper response would be to accuse this person of it. (Allen Wood, 1988). (shrink)

Proper functionalism explicates epistemic warrant in terms of the function and normal functioning of the belief-forming process. There are two standard substantive views of the sources of functions in the literature in epistemology: God (intelligent design) or Mother Nature (evolution by natural selection). Both appear to confront the Swampman objection: couldn’t there be a mind with warranted beliefs neither designed by God nor the product of evolution by natural selection? Is there another substantive view that avoids the Swampman objection? There (...) are two. The first is the generalized selected-effects theory of functions. The second is the organizational theory of functions. Both, however, require some history to assign functions, for both are etiological theories of functions: past effects help explain current function. Swampman can then acquire functions, perhaps soon after creation, though he has none at the moment of inception. (shrink)

The Gettier Problem is the problem of revising the view that knowledge is justified true belief in a way that is immune to Gettier counter-examples. The “Gettier Problem problem”, according to Lycan, is the problem of saying what is misguided about trying to solve the Gettier Problem. In this paper I take up the Gettier Problem problem. I distinguish giving conditions that are necessary and sufficient for knowledge from giving conditions that explain why one knows when one does (...) know. I argue that the problem with the Gettier Problem is that it requires us to articulate conditions that suffice for knowledge even if those conditions are non-explanatory. After defending this view, I take up two related methodological issues, one about the evidence that can be given in favor of an account of knowledge, and one about the role that investigating justification might play in investigating knowledge. (shrink)

I develop an epistemic focal bias account of certain patterns of judgments about knowledge ascriptions by integrating it with a general dual process framework of human cognition. According to the focal bias account, judgments about knowledge ascriptions are generally reliable but systematically fallible because the cognitive processes that generate them are affected by what is in focus. I begin by considering some puzzling patters of judgments about knowledge ascriptions and sketch how a basic focal bias account seeks (...) to account for them. In doing so, I argue that the basic focal bias account should be integrated in a more general framework of human cognition. Consequently, I present some central aspects of a prominent general dual process theory of human cognition and discuss how focal bias may figure at various levels of processing. On the basis of this discussion, I attempt to categorize the relevant judgments about knowledge ascriptions. Given this categorization, I argue that the basic epistemic focal bias account of certain contrast effects and salient alternatives effects can be plausibly integrated with the dual process framework. Likewise, I try to explain the absence of strong intuitions in cases of far-fetched salient alternatives. As a manner of conclusion, I consider some methodological issues concerning the relationship between cognitive psychology, experimental data and epistemological theorizing. -/- . (shrink)

I present two counterexamples to the recently back-in-favour truth-tracking account of knowledge: one involving a true belief resting on a counterfactually robust delusion, one involving a true belief acquired alongside a bunch of false beliefs. These counterexamples carry over to a recent modification of the theory due to Briggs and Nolan (2012), and seem invulnerable to a recent defence of the theory against known counterexamples, by Adams and Clarke (2005).