Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay (...) is to describe recent empirical work on analogical cognition as well as model applications to philosophical topics. Topics to be discussed include the epistemological distinction between implicit knowledge and explicit knowledge, the debate between empiricists and nativists, the frame problem, expertise, creativity and autism, cognitive architecture, and relational knowledge. Particular attention is given to Dedre Gentner and colleague’s structure-mapping theory – the most developed and widely accepted model of analogical cognition. (shrink)

This study which utilized the critical analysis, analyzed Wittgenstein’s concept of language-game and its implications in philosophical discipline and contemporary society. To delineate the origin of the problem of language in terms of epistemological dimension, the researcher analyzed the related concepts on classical philosophy. To determine the origin of the concept of language-game, the researcher used the historical method. To constructively criticize the end-goal of language-game, the hermeneutical approach of Hans Georg Gadamer was employed. From the findings and with the (...) aid of the above-mentioned methods, the researcher had come up with these conclusions. Language is inalienable in the sociological nature of man. Man is always related or connected to the other. In this sense, man shares his very subjectivity with the other. Unless he realizes this, he cannot actualize the essential part of his nature. In every aspect of man’s life, it is imperative for him to negotiate, communicate, and collaborate with the members of his household and society. Wittgenstein is the one of the philosophers who gave deeper commitment and emphasis on the concerns of language in man’s life. Mastering our use of language is not just for the sake of conventional understanding, but, more importantly, we use it in its proper context in order to express our thoughts clearly and in the process to understand ourselves. It is because, as we speak or write using language as medium of communication, we are projecting ourselves to the other. If we come up with the c common understanding, then we will be able to create a harmonious society. This study provided the readers with a better understanding of the importance of proper use of words or terminologies in their proper context. It is because this research delved on the conceptual and analytical mechanisms of using language in order to give a systematic pattern of corrective thinking and application for word’s use. Aside from affirming the importance of language in connection with our contemporary activities, this research looked into a deeper realization on the workings of language. This realization originated from Wittgensteinian context of understanding. As affirmation for Wittgenstein, it is appropriate to say that to understand a word in its proper context is to understand the sentence. To understand a sentence is to understand a language. To understand a language means to be master of technique. This signifies that understanding is to know how to do something; in the case of language, understanding language means knowing how to use it. The researcher realized that understanding the meaning of a word is not something private to the mental life of an individual, but something which exist out in the open, in the public domain. This means that understanding the meaning is objectively understandable by people. However, the researcher did not agree with Wittgenstein’s view that philosophy should stop once we clear the way of understanding how our language works. Instead, the researcher adheres to the fact that philosophy as enterprise is an undying process in search for truth. For the researcher, we do not stop philosophizing because our imaginations continue to desire progress in terms of creativity. Thus, he affirmed Gadamer in claiming that we should not hinder our philosophical endeavors by breaking it. Even if we can clear the confusions and misunderstanding of language, still our active minds cling to what is new in the field of learning things. This research led to the formulation of other theories which can be useful tool in understanding the complexities with regards to ourselves and our society as a whole. Henceforth, all the laborious efforts of this research and the regimented time invested in the writing of this work are meaningfully compensated. (shrink)

This paper defines the form of prior knowledge that is required for sound inferences by analogy and single-instance generalizations, in both logical and probabilistic reasoning. In the logical case, the first order determination rule defined in Davies (1985) is shown to solve both the justification and non-redundancy problems for analogical inference. The statistical analogue of determination that is put forward is termed 'uniformity'. Based on the semantics of determination and uniformity, a third notion of "relevance" is defined, both logically (...) and probabilistically. The statistical relevance of one function in determining another is put forward as a way of defining the value of information: The statistical relevance of a function F to a function G is the absolute value of the change in one's information about the value of G afforded by specifying the value of F. This theory provides normative justifications for conclusions projected by analogy from one case to another, and for generalization from an instance to a rule. The soundness of such conclusions, in either the logical or the probabilistic case, can be identified with the extent to which the corresponding criteria (determination and uniformity) actually hold for the features being related. (shrink)

Mencius, referred to as second sage in Chinese philosophy history, grounds his theory about original goodness of human nature on psychological components by bringing in something new down ancient ages. Including the principles of virtuous action associated with Confucius to his doctrine, but by composing them along psychosocial development, he theorizes utterly out of the ordinary that makes all the difference to the school. In his argument stated a positive opinion, he explains the method of forming individuals' moral awareness by (...) means of inseparable integrity of feelings and thoughts, saying human being are born innately good. According to Mencius, heart-mind correlation is the motivational complement of inner incentives. Knowledge and virtue, which are extensions of inborn goodness, comprehended intuitively; then affective motives respond to circumstance, what is learned transmits to cognitive process and eventually behavior emerges. Comparing during the years of Warring State period he lived, in western geography Aristotle, who is one of the pioneers of Greek philosophy, argues deductive and inductive methods in mental activity. On the other hand, Mencius uses analogical reasoning throughout his self-titled work. This essay is an attempt to assert that most postulates of developmental theories, which have been considered an integral part of modern psychology, begin with Mencius in early era. Secondly, this study also aims to discuss the main paradigm of Mencius across emotivist-rationalist opposition, which keeps emotion above thought as well as reason above emotion. (shrink)

Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...) solution for the so-called NP-complete problems will also be a solution for any other such problems. Its artificial-intelligence analogue is the class of AI-complete problems, for which a complete mathematical formalization still does not exist. In this chapter we will focus on analysing computational classes to better understand possible formalizations of AI-complete problems, and to see whether a universal algorithm, such as a Turing test, could exist for all AI-complete problems. In order to better observe how modern computer science tries to deal with computational complexity issues, we present several different deep-learning strategies involving optimization methods to see that the inability to exactly solve a problem from a higher order computational class does not mean there is not a satisfactory solution using state-of-the-art machine-learning techniques. Such methods are compared to philosophical issues and psychological research regarding human abilities of solving analogous NP-complete problems, to fortify the claim that we do not need to have an exact and correct way of solving AI-complete problems to nevertheless possibly achieve the notion of strong AI. (shrink)

In this article it is argued that the optical metaphor and critical practice of diffraction further developed by Donna Haraway and Karen Barad might be no less significant than the widely spread notion of reflection, when the questions of various practices of knowledge are addressed. By considering Paul Ramsden’s approach to learning/teaching and its underlying theory in higher education alongside Karen Barad’s methodology of diffraction, it is shown that Ramsden’s understanding of learning/teaching is rather based on the theoretical (...) assumptions of diffractive practice. His notion that teaching/learning are closely related and actively shaping each other, and that learners are not disconnected from the environment and their previous experiences with the subject matter and learning process itself, adds to Barad’s onto-epistemological position that knowers know the world at the same time as being the part of the world in its ongoing intra-activity. Ramsden’s understanding of relation is diffractive, because it is not about predefined binary entities and their fixed identities, but about layers and entanglements of various previous experiences and reactions to the learning environment. In addition, looking at learning/teaching processes through a different perspective also leads to a different approach to teaching and other ways of problem-solving. Both Ramsden and Barad distrust homologies, analogies, and causality-based conceptions of knowledge sharing. Instead, the ability to respond to an always new learning/teaching environment is assessed, which implies a diffractive type of sensitivity to the context, iterative process of re-turning, and the creation of dangerously indeterminate relationships and commitments. In this way, some of Barad’s philosophical notions, i.e., the diffraction pattern, intra-activity, returning, and others, also may acquire new practical content. (shrink)

Modularity theorists have challenged that there are, or could be, general learning mechanisms that explain theory-of-mind development. In response, supporters of the ‘scientific theory-theory’ account of theory-of-mind development have appealed to children's use of auxiliary hypotheses and probabilistic causal modeling. This article argues that these general learning mechanisms are not sufficient to meet the modularist's challenge. The article then explores an alternative domain-general learning mechanism by proposing that children grasp the concept belief through the progressive alignment of (...) relational structure that occurs as a result of structural-comparison. The article also explores the implications of the proposed account for Fodor's puzzle of conceptual learning. (shrink)

Citizenship and marriage are legal statuses that generate numerous privileges and responsibilities. Legal doctrine and argument have analogized these statuses in passing: consider, for example, Ted Olson’s statement in the Hollingsworth v. Perry oral argument that denying the label “marriage” to gay unions “is like you were to say you can vote, you can travel, but you may not be a citizen.” However, the parallel between citizenship and marriage has rarely been investigated in depth. This paper investigates the marriage-citizenship parallel (...) with a particular focus on three questions prompted by recent developments in law and policy: -/- 1) Should we provide second-best statuses? Some couples — in particular gay and lesbian couples — have been offered permanent statuses, like civil unions, that bear legal privileges but fall short of full marriage equality. In contrast, similar differentiations within citizenship are generally resisted. The history of citizenship may presage the increasing unacceptability of differentiations within status in the gay marriage context. Meanwhile, the history of marriage equality efforts may help present-day citizenship advocates choose legal strategies. -/- 2) Should statuses be a gateway to rights? Some early gay rights advocates unsuccessfully argued that advocates should challenge the primacy of marriage, rather than seek access to the institution. Advocates attempting to expand the rights of current noncitizens face similar choices: should they seek to give current noncitizens greater access to citizenship, or challenge the reservation of important rights to citizens? -/- 3) Can status relationships be plural? Many critics of dual and multiple citizenship argued that allegiance to multiple states was immoral, unadministrable, or both. More recently, polygamous marriage has become a topic of legal and political discourse, first as a foil in anti-gay marriage arguments and later as a political possibility in its own right. I consider whether polygamous marriage advocates can profitably draw on arguments for multiple citizenship, and how multiple-citizenship advocates should responsibly respond to the analogy with polygamy. (shrink)

This paper argues that the idea of a computer is unique. Calculators and analog computers are not different ideas about computers, and nature does not compute by itself. Computers, once clearly defined in all their terms and mechanisms, rather than enumerated by behavioral examples, can be more than instrumental tools in science, and more than source of analogies and taxonomies in philosophy. They can help us understand semantic content and its relation to form. This can be achieved because they have (...) the potential to do more than calculators, which are computers that are designed not to learn. Today’s computers are not designed to learn; rather, they are designed to support learning; therefore, any theory of content tested by computers that currently exist must be of an empirical, rather than a formal nature. If they are designed someday to learn, we will see a change in roles, requiring an empirical theory about the Turing architecture’s content, using the primitives of learning machines. This way of thinking, which I call the intensional view of computers, avoids the problems of analogies between minds and computers. It focuses on the constitutive properties of computers, such as showing clearly how they can help us avoid the infinite regress in interpretation, and how we can clarify the terms of the suggested mechanisms to facilitate a useful debate. Within the intensional view, syntax and content in the context of computers become two ends of physically realizing correspondence problems in various domains. (shrink)

The theory of mind debate has reached a “hybrid consensus” concerning the status of theory-theory and simulation-theory. Extant hybrid models either specify co-dependency and implementation relations, or distribute mentalizing tasks according to folk-psychological categories. By relying on a non-developmental framework these models fail to capture the central connection between simulation and theory. I propose a “dynamic” hybrid that is informed by recent work on the nature of similarity cognition. I claim that Gentner’s model of structure-mapping allows us to understand simulation (...) as a process in which psychological representations are aligned, causing the spontaneous abstraction of theoretical generalizations about the psychological domain. (shrink)

The nature of learning processes as well as evolutionary considerations suggest that aesthetic judgement is of central importance in the formation of custom. Learning and extrapolation rely on evaluations of non-instrumental features like simplicity, analogy, straightforwardness, and clarity. Further, learning is particularly effective if it is driven by an active desire to uncover new regularities, rather than merely gathering information in a passive way.From an evolutionary perspective, learning has evolved as an adaptation to fast and transitory (...) environmental changes which cannot be effectively traced by the slow and long-term evolutionary processes which take place on the genetic level. The evolutionary raison d’être of learning is to enable the individual to incessantly search for upcoming new regularities, and to act appropriately on them. As learning depends on aesthetic judgement, the evolutionary selection for learning implies an evolutionary molding of an aesthetic sense, and a preference for patterns and patterned action which ultimately leads to the formation of custom and social learning. The paper presents, thus, an evolutionary underpinning for the behavioral tendencies underlying my theory of custom. (shrink)

In this paper I discuss the role of non-humans in Aquinas’ account of moral learning. I intend to show that the entire created order can play an important role in demonstrating to us the life of virtue, and argue that non-human exemplars offer important advantages to the moral learner. I begin by addressing apparent problems with this approach, founded on the observation that human virtue, for Aquinas, is unique to humans. I resolve these by showing that Aquinas’ approach to (...) exemplars is fundamentally analogical, meaning that exemplars point beyond themselves and need not necessarily live the good life to which they direct learners. I show that this means that Aquinas can use non-humans as moral exemplars and offer examples of him doing just that. Finally, I offer an assessment of the benefits of this approach. Among other things, it offers ethicists new ways to focus on particular virtues and provides a plausible way to include non-humans in the moral realm. (shrink)

According to F. Adams [this journal, vol. 68, 2018] cognition cannot be realized in plants or bacteria. In his view, plants and bacteria respond to the here-and-now in a hardwired, inflexible manner, and are therefore incapable of cognitive activity. This article takes issue with the pursuit of plant cognition from the perspective of an empirically informed philosophy of plant neurobiology. As we argue, empirical evidence shows, contra Adams, that plant behavior is in many ways analogous to animal behavior. This renders (...) plants suitable to be described as cognitive agents in a non-metaphorical way. Sections two to four review the arguments offered by Adams in light of scientific evidence on plant adaptive behavior, decision-making, anticipation, as well as learning and memory. Section five introduces the ‘phyto-nervous’ system of plants. To conclude, section six resituates the quest for plant cognition into a broader approach in cognitive science, as represented by enactive and ecological schools of thought. Overall, we aim to motivate the idea that plants may be considered genuine cognitive agents. Our hope is to help propel public awareness and discussion of plant intelligence once appropriately stripped of anthropocentric preconceptions of the sort that Adams' position appears to exemplify. (shrink)

There are many commonalities between the framework of roleplaying games such as Dungeons & Dragons and the way in which we design classes and assignments. The professor (the dungeon master) selects a number of readings with some end goal in mind (the campaign). Along the way the students are expected to be active participants (roleplay) and the professor designs progressively harder assignments (quests) in order to test the students’ abilities and to promote learning and growth (leveling up). This structural (...) analogy prompted me to investigate how such a framework could be implemented more explicitly in a class, and in this chapter I describe how I did so. (shrink)

Is it possible ontologically to think about education? Can the ontological category of “being” allow us to think of an educational human being? How can the ontological category of “being there” contextualize the educational reality in Latin America? These questions will guide an ontological reflection based on Latin-American philosophical categories “being” and “being there” for thinking about education. This reflection will propose an ontological presence of the symbol from the analogy and the educational experience, as a reality that opens to (...) new experiences in teaching and learning. (shrink)

In some domains experts perform better than novices, and in other domains experts do not generally perform better than novices. According to empirical studies of expert performance, this is because the former but not the latter domains make available to training practitioners a direct form of learning feedback. Several philosophers resource this empirical literature to cast doubt on the quality of philosophical expertise. They claim that philosophy is like the dubious domains in that it does not make available the (...) good, direct kind of learning feedback, and thus there are empirical grounds for doubting the epistemic quality of philosophical expertise. I examine the empirical studies that are purportedly bad news for professional philosophers. On the basis of that examination, I provide three reasons why the empirical study of non-philosophical expertise does not undermine the status of philosophical expertise. First, the non-philosophical task-types from which the critics generalize are unrepresentative of relevant philosophical task-types. Second, empirical critiques of non-philosophical experts are often made relative to the performance of linear models—a comparison that is inapt in a philosophical context. Third, the critics fail to discuss findings from the empirical study of non-philosophical expertise that have more favorable implications for the epistemic status of philosophical expertise. In addition to discussing implications for philosophical expertise, this article makes progress in the philosophical analysis of the science of expertise and expert development. (shrink)

Several authors have recently suggested that classic psychedelics might be safe and effective agents of moral enhancement. This raises the question: can we learn anything interesting about the nature of moral experience from a close examination of transformative psychedelic experiences? The interdisciplinary enterprise of philosophical psychopathology attempts to learn about the structure and function of the “ordinary” mind by studying the radically altered mind. By analogy, in this chapter we argue that we can gain knowledge about the everyday moral life (...) by studying extraordinary experiences of altered moral cognition and experience. We focus on a specific class of cases: experiences of forgiveness induced by psychedelics. We argue that close attention to such experiences reveals the importance of thought/emotion coherence and dissonance in the moral life and vindicates some heterodox ideas about moral phenomenology and psychology. (shrink)

Models are being used extensively for practicing and understanding scientific, engineering and mathematical subjects, but are rarely used as art analyzing tools, particularly, in learning environments. Contrarily, using art to explain mathematical ideas is not unprecedented. Strogatz (1988), for example, built a model based on Romeo and Juliet’s love story and used it to explain the idea of differential mathematics, and system dynamics. Artwork, specially written and plastic classics, is a fixed form of art. We frame them and put (...) them in a gallery, or a book (digital or physical). We don’t try to “fix” them or optimize their functioning, we analyze them to find meaning, intention, and patterns. In this article, we aim to show how, by building models combined with simple mathematical representations and analogies, it is possible to understand literary texts, from the prism of system and complexity theories, which emphasize the dynamic, non-linear, and non-reductionist aspects of the observed. We’ll demonstrate how modeling processes of three cultural assets, allow active correspondence with the original textual art, by treating them as systemic objects with interactions and dynamics. They will be analyzed while raising questions about the significance of modeling as a cognitive learning process. (shrink)

Sometimes we learn what the world is like, and sometimes we learn where in the world we are. Are there any interesting differences between the two kinds of cases? The main aim of this article is to argue that learning where we are in the world brings into view the same kind of observation selection effects that operate when sampling from a population. I will first explain what observation selection effects are ( Section 1 ) and how they are (...) relevant to learning where we are in the world ( Section 2 ). I will show how measurements in the Many Worlds Interpretation of quantum mechanics can be understood as learning where you are in the world via some observation selection effect ( Section 3 ). I will apply a similar argument to the Sleeping Beauty Problem ( Section 4 ) and explain what I take the significance of the analogy to be ( Section 5 ). Finally, I will defend the Restricted Principle of Indifference on which some of my arguments depend ( Section 6 ). (shrink)

My aim in this chapter is to take the complexity of our histories of rights as seriously as the nature of rights themselves. Let me say immediately that the point is not to satisfy our sense of moral superiority by smugly pointing out the prejudices found in arguments made over three hundred years ago. We have more than our own share of problems and prejudices to deal with. Rather, in coming to grips with this history, and especially how early-modern political (...) theorists struggled with the extension and application of natural rights to the ‘New World’, we may learn something about our own struggles to extend human rights beyond the boundaries of the state system of which Grotius, Hobbes, Locke and Vattel were among the key intellectual architects. For Richard Tuck, the autonomous rights-bearing agent at the heart of liberal individualism is a product of seventeenth-century theorizing about the nature of the autonomous state acting in the international sphere. The sovereign individual is the ‘traditional cousin of the sovereign state’, argues Tuck, and especially the aggressive, violent, and minimally constrained relative described by Hugo Grotius, Thomas Hobbes, John Locke and Emer de Vattel. Thus the connection between liberalism and imperialism, on this reading, is not merely chronological or historical but metaphysical. The analogy between the sovereign state and the sovereign individual acting on the basis of their natural rights, constrained by the recognition of the basic rights of others (but not much more than that) represents an influential vision of liberal freedom. This minimalist account of freedom represents only one vision, however, and Tuck’s account of the pre-history of liberal rights has to be balanced against other conceptions, including more emancipatory ones. (shrink)

The paper demonstrates that falsifiability is fundamental to learning. We prove the following theorem for statistical learning and sequential prediction: If a theory is falsifiable then it is learnable -- i.e. admits a strategy that predicts optimally. An analogous result is shown for universal induction.

In 1982 Jackson introduced the Knowledge Argument to elucidate the phenomenal, interior aspects of experience. In 1908 McTaggart defined two series that characterize one dimension of time, the A-series and the B-series. The A-series is usually thought to be phenomenal [Farr 2019], [Dainton 2018]. Thus there is the possibility of giving a Knowledge Argument for time [Merriam 2012, 2022a]. One (informal) statement of the classical Knowledge Argument might be “Mary knows all the facts about color qualia but lives in a (...) black-and-white room. Upon being released into a colorful world, it would seem she learns something new.” The analogous Knowledge Argument for Time (KAT) would be “Nathan knows all the facts about time but lives in a B-series room. Upon being released into a world that has both an A-series and a B-series it would seem he learns something new.” I give variations of the KAT based on various distinctions. I don’t give any particular proposed solutions to the Knowledge Arguments for Time. Rather, the point is to state the Arguments (or indicate how they may be stated). It may be hoped that these will help clarify some issues in the philosophy of time and lead to a cross-fertilization between the philosophy of time and the philosophy of mind. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...) learning methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

Beck presents an outline of the procedure of bootstrapping of integer concepts, with the purpose of explicating the account of Carey. According to that theory, integer concepts are acquired through a process of inductive and analogous reasoning based on the object tracking system, which allows individuating objects in a parallel fashion. Discussing the bootstrapping theory, Beck dismisses what he calls the "deviant-interpretation challenge"—the possibility that the bootstrapped integer sequence does not follow a linear progression after some point—as being general to (...) any account of inductive learning. While the account of Carey and Beck focuses on the OTS, in this paper I want to reconsider the importance of another empirically well-established cognitive core system for treating numerosities, namely the approximate number system. Since the ANS-based account offers a potential alternative for integer concept acquisition, I show that it provides a good reason to revisit the deviant-interpretation challenge. Finally, I will present a hybrid OTS-ANS model as the foundation of integer concept acquisition and the framework of enculturation as a solution to the challenge. (shrink)

Nudge is a popular public policy tool that harnesses well-known biases in human judgement to subtly guide people’s decisions, often to improve their choices or to achieve some socially desirable outcome. Thanks to recent developments in artificial intelligence (AI) methods new possibilities emerge of how and when our decisions can be nudged. On the one hand, algorithmically personalized nudges have the potential to vastly improve human daily lives. On the other hand, blindly outsourcing the development and implementation of nudges to (...) “black box” AI systems means that the ultimate reasons for why such nudges work, that is, the underlying human cognitive processes that they harness, will often be unknown. In this paper, we unpack this concern by considering a series of examples and case studies that demonstrate how AI systems can learn to harness biases in human judgment to reach a specified goal. Drawing on an analogy in a philosophical debate concerning the methodology of economics, we call for the need of an interdisciplinary oversight of AI systems that are tasked and deployed to nudge human behaviours. (shrink)

Inspired by the eminently successful physical theories and informed by commonplace experiences such as seeing a cat upon looking at a cat, conscious experience is thought of as a measurement or photocopy of given stimulus. Conscious experience, unlike a photocopy, is symbolic—like language—in that the relation between conscious experience and physical stimulus is analogous to that of the word "cat" and its meaning, i.e., arbitrary and yet systematic. We present arguments against the photocopy model and arguments for a symbolic conception (...) of conscious experience. Learning and the corresponding plasticity of the brain make a strong case for the symbolic conception of conscious experience, while many extra-ordinary conscious experiences argue against the formalisation of consciousness as a measuring device. The notions of place-value notation and grammar, which organise quantitative measurements and conscious experiences in the medium of numbers and language, respectively, are suggested as model systems for putting together a comprehensive theory of conscious experience. (shrink)

Selective permeability holds that people’s distinct capacities allow them to do different things in a space, making it unequally accessible. Though mainly applied to urban geography so far, we propose selective permeability as an affordance-based approach for understanding diversity in education. This has advantages. First, it avoids dismissing lower achievements as necessarily coming from “within” students, instead locating challenges in the environment. This implies that settings (not just people) need remedial attention, also raising questions about normative judgments in disability nomenclature. (...) Second, affordances can be negotiated in numerous ways to reach a goal, analogously to how people with missing arms have learned to drive with their feet, so restrictive problem-solving methods are often counterproductive. Third, our approach illuminates how cultural factors ranging from gait styles to language and hence group coordination modulate action possibilities, so that cultural groups may encounter objectively different affordances in the same classroom. But fourth, while fit with environment allows for skill refinement, non-fit can contribute to growth situations, which suggests a degree of selective closure can be desirable. Throughout, we argue social constructs—including educational ones—are literally built or enacted barriers or openings that have reality in environments in the same way that affordances do. (shrink)

Many traditional attempts to show that nonhuman animals are deserving of moral consideration have taken the form of an argument by analogy. However, arguments of this kind have had notable weaknesses and, in particular, have not been able to convince two kinds of skeptics. One of the most important weaknesses of these arguments is that they fail to provide theoretical justifications for why particular physiological similarities should be considered relevant. This paper examines recent empirical research on pain and, in particular, (...) explores the implications of the dissociation between the sensory and the affective pain pathways. It is argued that these results show that the belief that nonhuman animals experience pain in a morally relevant way is reasonable, though not certain. It is further argued that the proposal to explore the relationship between consciousness and various forms of learning challenges the aforementioned skeptics to provide more physiological details for their claims that nonhuman mammals are probably not conscious. (shrink)

[Edited from Conclusion section:] We have looked at various challenging issues to do with getting connectionism to cope with high-level cognitive activities such a reasoning and natural language understanding. The issues are to do with various facets of generalization that are not commonly noted. We have been concerned in particular with the special forms these issues take in the arena of propositional attitude processing. The main problems we have looked at are: (1) The need to construct explicit representations of generalizations, (...) not just generalize correctly to individual cases; (2) The need to be able to match two or more complex short-term information structures, to enable rapid generalization from recent examples rather than from long-term memories; (3) The need to represent and reason with anomalous combinations of concepts; (4) The need to perform embedded reasoning. This presents special problems for systems using non-concatenative representations (as in mainstream connectionist approaches). We also touched on vague quantification in attitude report complements. Neither this topic nor that of analogies between short-term structures (point 2) has been adequately addressed in the symbolic framework, let alone in connectionism. -/- The opportunities and problems covered are put forward as things worth being optimistic about or pessimistic about, respectively. They are not put forward as decisive arguments for or against connectionism. The hope is that this chapter contributes to a greater understanding of the connectionist/symbolist gap by presenting some unusual issues and by throwing new light on some well known ones. (shrink)

As we explore panentheism, what can we learn from Rāmānuja's Viśiṣṭādvaita? Although widely acknowledged as a panentheist, in the contemporary debate on how to characterize panentheism, Rāmānuja barely features. But Rāmānuja's position is worth studying not just because it bears on taxonomical questions. Among its interesting features is a conception on which devotional love, bhakti, serves an epistemic function that is also of crucial soteriological relevance. This chapter addresses both these topics. First, Rāmānuja's Viśiṣṭādvaita is used to cast doubt on (...) a characterization of panentheism recently proposed by Mikael Stenmark. Second, Rāmānuja's conception of bhakti is juxtaposed with two conceptions of love that serve an analogous dual function: Weil's conception of supernatural love and Murdoch's conception of love as just attention. Rāmānuja's position, it is argued, is distinct, partly due to his panentheist commitments, but it also shares a number of features with the other two. In closing, it is suggested that for further comparative work on these three, ample room remains. (shrink)

One approach to understanding moral virtues is to compare them with practical skills, since both involve learning how to act well. This paper inquires whether this approach can be extended to intellectual virtues. The relevance of the analogy between virtues and skills for virtue epistemology can be seen in two prominent discussions of intellectual virtues and skills. Linda Zagzebski has argued that intellectual virtues can be modeled on moral virtues, and that a key component of virtue being understood as (...) a “success” term is that virtues are associated with skills. However, she explicitly rejects the stronger claim that virtues can be understood as skills. Julia Annas defends the idea that virtues are skills, and she uses this conception of virtue to argue that Zagzebski’s project fails because of a key difference between the two types of virtue. This paper argues that a skill model of virtue can support modeling intellectual virtues on ethical virtues, contrary to the claims made by Zagzebski and Annas. There are a variety of misconceptions about skills that have led to errors in both of their discussions. The Dreyfus account of skill acquisition and current psychological research on expertise will help to correct these errors. (shrink)

Moral (or ethical) sensitivity is widely viewed as a foundational learning goal in engineering ethics education. We have argued in this paper is that this view of moral sensitivity cannot be readily transported from the nursing context to the engineering context on the basis of a care-analogy. The particularized care characteristic of the nursing context is decisively different from the generalized and universalized forms of care characteristic of the engineering context. Through a focus on care and maintenance, the engineering (...) student’s moral sensitivity can be refined, opening up a perceptual awakening and affectivity towards the complex nature of the engineer’s Other. This awakening is in part promoted through an understanding of the ideology of neutrality as a moment in the history engineering. Becoming aware of this ideology as an ideology can then be seen as an activity of dividing loyalties that allows for a reflexive and critical view of the biases and presuppositions inherited within the world of engineering. This process of deepening the engineering student’s moral sensitivity is perhaps as much a process of the student becoming aware of her professional world, how it shapes her understanding of herself, and what it means to be a good engineer. (shrink)

Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this (...) is neither original nor real art, but simply the complex imitation and reproduction of existing products of human culture. We face the old question concerning the nature of creativity: what kind of recombination of ideas, unusual analogies, and conceptual connections are considered the mark of originality? Can AI produce artworks? Could machines reach a point at which we consider them genuinely creative? We also need to investigate the challenges posed by AI-art to the notion of authoriality: Who is the author of an artificially generated artifact? An artificial system could be considered just an artist’s and a programmer’s tool. However, we are also fascinated by the idea of autonomous artificial creativity in the aesthetic domain, as a manifestation of highly intelligent behavior. This paper will try to define some key questions around what could it mean to consider a machine creative or even equipped with artistic intentionality. (shrink)

There is an emerging consensus within Natural Law that explains transgender identity as an “embodied misunderstanding.” The basic line of argument is that our sexual identity as male or female refers to our possible reproductive roles of begetting or conceiving. Since these two possibilities are determined early on by the presence or absence of a Y chromosome, our sexual identity cannot be changed or reassigned. I develop an argument from analogy, comparing gender and language, to show that this consensus is (...) premature. Language and gender imbue our body with further social meaning and so, I conclude, that just as we can learn multiple languages, so too can we learn multiple genders. Since language and gender each constitutively contribute to our wellbeing as a “second nature,” I argue against this consensus to show that the reason people who are transgender struggle to flourish is not because of a “troubled trans psyche,” but because there are conceptual, interpersonal, and institutional obstacles stacked against them. (shrink)

It is often claimed that the development of nanotechnology will constitute a “technological revolution” with profound social, economic, and political consequences. The full implications of this claim can best be understood by imagining a scenario in which a political revolutionary made all the same claims that are commonly made by enthusiasts for nanotechnology. I argue that most people would be outraged to learn that the members of an unelected group were planning to radically reshape society in this fashion. I survey (...) a number of arguments that might be used to block this analogy and argue that none of them justify drawing a sharp distinction between social change due to technology and change due to other political causes. Two things follow for discussions of the social impacts of nanotechnology. First, we need to reconsider the appropriateness of the language of technological revolution when talking about nanotechnology. The likely impacts of nanotechnology may be less dramatic than is often claimed. Second, if we do decide that the language of revolution is the appropriate one to use when talking about nanotechnology then we should acknowledge that any such revolution should be delayed until the public has had a chance to make a democratic decision about whether they wish their lives to be transformed in this way. (shrink)

This chapter addresses the application of contemporary theories of the imagination—largely drawn from cognitive psychology—to our understanding of film. Topics include the role of the imagination in our learning what facts hold within a fictional film, including what characters’ motivations, beliefs, and feelings are; how our perceptual experience of a film explains our imaginative visualizing of its contents; how fictional scenarios in films generate certain affective and evaluative responses; and how such responses compare to those we have toward analogous (...) circumstances in real life. (shrink)

This chapter introduces the difficulty of acquiring phenomenological terms by examining Carnap’s and Derrida’s criticisms of phenomenological speech; their criticisms show that any account of how phenomenological speech is acquired must clarify its distinction from ordinary speech about things while not falling prey to an esoteric separation. The chapter then reviews the way Husserl, Scheler, and Heidegger offer “indication” as the way to distinguish but not separate the one and the other, and it argues that indication, even with the support (...) of analogy, metaphor, and metonym, suffers from Quinean indeterminacy and therefore requires some other resources for its successful enactment. Finally, the chapter outlines a novel solution to the problem of phenomenological speech by approaching the question as one of genesis and acquisition: ordinary language embeds certain experiential terms, such as “presence” and “absence,” that, when inflected, introduce the learner into the transcendental dimension of experience. The chapter demonstrates that the question of language learning or acquisition is necessary for unraveling the nature of phenomenological language and clarifying its relation to ordinary speech. (shrink)

In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. This is more or less identical with the working of the collective learning mechanism. (...) Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the hyperbolic character of biodiversity growth can be similarly accounted for by non-linear, second-order positive feedback between diversity growth and the complexity of community structure, suggesting the presence within the biosphere of a certain analogue of the collective learning mechanism. We discuss how such positive feedback mechanisms can be modelled mathematically. (shrink)

In this dissertation I discuss the epistemology of ethical intuitionism, in particular the claim that mature moral agents possess self-evident moral knowledge. Traditional intuitionists such as W.D. Ross have claimed that by reflection, we can acquire knowledge of our basic moral duties such as the duty of veracity or benevolence. Recent defenders of intuitionism such as Robert Audi have further developed this theory and argued that adequate understanding can be sufficient for moral knowledge. I criticize this view and argue that (...) such accounts fail to make a convincing case for a foundationalist moral epistemology. Instead, I propose to separate the question of how we acquire moral knowledge from an account that justifies moral beliefs. In response to the first issue, I draw an analogy between our moral intuitions and chosmkian linguistics; in both areas, I argue, human beings possess a universal, unconscious and (partly) inaccessible system of rules that explains how we come to learn language and to make moral judgments. In regards to the justificatory issue, I address recent evolutionary debunking arguments designed to undermine the claim that our moral judgments track stance-independent truths. I try to show that this conclusion only follows under the assumption of an instrumentalist interpretation of moral reasoning which the intuitionist is not forced to accept. (shrink)

This essay explores the benefits of utilizing non-scientific examples and analogies in teaching philosophy of science courses. These examples can help resolve two basic difficulties faced by most instructors, especially when teaching lower-level courses: first, they can prompt students to take an active interest in the class material, since the examples will involve aspects of the culture well-known, or at least more interesting, to the students; and second, these familiar, less-threatening examples will lessen the students' collective anxieties and open them (...) up to learning the material more easily. To demonstrate this strategy of constructing and employing non-scientific examples, a lengthy analogy between musical styles and Kuhn's theory of scientific revolutions is developed. (shrink)

The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it is with computing, (...) which can be analog or digital, and is often mixed. The theory behind computers is essentially digital, but efficient simulations of phenomena can be performed by analog devices; indeed, any physical calculation requires implementation in the physical world and is therefore analog to some extent, despite being based on abstract logic and arithmetic. The mammalian brain, comprised of neuronal networks, functions as an analog device and has given rise to artificial neural networks that are implemented as digital algorithms but function as analog models would. Analog constructs compute with the implementation of a variety of feedback and feedforward loops. In contrast, digital algorithms allow the implementation of recursive processes that enable them to generate unparalleled emergent properties. We briefly illustrate how the cortical organization of neurons can integrate signals and make predictions analogically. While we conclude that brains are not digital computers, we speculate on the recent implementation of human writing in the brain as a possible digital path that slowly evolves the brain into a genuine (slow) Turing machine. (shrink)

It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the functional role (...) of trust changes across contexts and objects is further complicated when communities and individuals mediate it through technologies, and even more so when that mediation involves artificial intelligence (AI) and machine learning (ML). In this chapter I look at the ways in which trust in institutions, and specifically the medical profession, is affected by the use of AI and ML. There are two key elements of this analysis. The first is a disanalogy between institutional trust in medicine and institutional trust in science (Irzik and Kurtulmus 2021, 2019; Kitcher 2001). I note that as AI and ML become a more prominent part of medicine, trust in a medical institution becomes more like trust in a scientific institution. This is problematic for institutional trust in medicine and the practice of medicine, since institutional trust in science has been undermined by, among other things, the spread of misinformation online and the replication crisis (Romero 2019). There is also a strong analogy between the psychological state of the person who trusts a scientific report or testimony and the psychological state of a patient who trusts individual recommendations made by a medical professional in a clinical setting. In both cases, institutional trust makes it less likely that a mistake or malfeasance will result in reactive attitudes, such as blame or anger, directed at other individual members of that institution. However, it also renders people vulnerable enough to blame the institution itself. This, with time, can erode trust in the institution and naturally leads to policy recommendations that aim to preserve institutional trust. I survey two ways in which that can be done with institutional trust in medicine in the age of AI and ML. (shrink)

Eshel Ben-Jacob’s manuscript entitled ‘Bacterial wisdom, Gödel’s theorem and creative genomic webs’ summarizes decades of work demonstrating adaptive mutagenesis in bacterial genomes. Bacterial genomes, each an essential part of a Kantian whole that is a single bacterium, are thus not independent of the environment as sensed; and a single bacterium is therefore a semiotic entity. Ben-Jacob suggests this but errs in 1) assigning autonomy to the genome, and 2) analogizing through computation without making clear whether he is doing so for (...) illustrative purposes or making committed ontological propositions. We reinterpret adaptive mutagenesis and related phenomena in ways both metaphysically rigorous and revealing. We conclude that bacteria are much farther removed from the ‘self-organizing’ world of inanimate process than from the Peircian world of signs; and a critical reappraisal of existing knowledge can enhance our understanding of selfhood, semiosis, and the roots of subjective experience. (shrink)

This paper examines how metaphors can play a key role in triggering individual emergence. Metaphor is referenced in two main ways: the enthalpy metaphor is used to provide understanding of, and guide, the process of effective conversation. Metaphor is also interpreted very broadly to define those images, analogies, concepts, models, and theories that define our understanding of the world and our perception. It is our perception that must change if we are to improve the future. The paper examines how sharing (...) of appropriate metaphor through conversation can lead to collective emergence; and similarly, how integral conversation-with-self triggered by metaphors in (1) conversation with others, (2) other external stimuli, and (3) internal thought processes, can trigger individual emergence. The paper examines which of the three sources of trigger may be singly/jointly or sequentially the most powerful in their effect of triggering individual emergence, and under what context. The model presented is evaluated for the process of emergence of the paper. The reader is invited to participate in furthering the evaluation process. The author's own individual emergence is recognized as stemming from ongoing association with, and inspiration of, Bela Banathy, to whom the work is dedicated. (shrink)

Jackson (1982) introduced the Knowledge Argument to elucidate the phenomenal, interior aspects of experience. In 1908 McTaggart defined two series that characterize one dimension of time, the A-series and the B-series. The A-series is usually thought to be phenomenal Farr (2019), SEP (2018). Thus there is the possibility of giving a Knowledge Argument for time. One (informal) statement of the classical Knowledge Argument might be “Mary knows all the facts about color qualia but lives in a black-and-white room. Upon being (...) released into a colorful world, it would seem she learns something new.” The analogous Knowledge Argument for Time (KAT) would be “Nathan knows all the facts about time but lives in a B-series room. Upon being released into a world with both an A-series and a B-series it would seem he learns something new.” I give variations of the KAT based on various distinctions. I don’t give any particular proposed solutions to the Knowledge Arguments for Time. Rather, the point is to state the Arguments (or indicate how they may be stated). It may be hoped that these will help clarify some issues in the philosophy of time and lead to a cross-fertilization between the philosophy of time and the philosophy of mind. (shrink)

There is an unacknowledged disagreement on what kind of dialogue best supports democracy. Many view democracy as analogous to a law court and so view “democratic dialogue” as a contest between competing advocates who have acquired the kind of “steel trap” critical thinking skills that are ideal for winning in the external marketplace of ideas. Others assume that the propensity to seriously reflect on opposing viewpoints within the minds of individuals is ideal for democratic maintenance. It will be argued here (...) that our love affair with “critical thinking” that tends to support an external battle of ideas harms democracy. It will be argued that the complexity of our common humanity, the complexity of our form of governance, the complexity of the approaches needed to face wicked problems, and the complexity of the internal engine of personal development requires that we learn to readily engage in open truth-seeking dialogue with those who hold opposing viewpoints and in so doing, enhance the dimensionality through which we view the world. With regard to the educational implications, this suggests that, since engaging in dialogue across difference is the essence of the pedagogical framework that anchors Philosophy for Children, Philosophy for Children ought to be embraced as an essential component of any educational enterprise that views cultivating democratic citizenship as part of its mandate. (shrink)

What can we learn from cases of knowledge from falsehood? Critics of knowledge-first epistemology have argued that these cases provide us with good reason for rejecting the knowledge accounts of evidence, justification, and the norm of belief. I shall offer a limited defense of the knowledge-first approach to these matters. Knowledge from falsehood cases should undermine our confidence in like-from-like reasoning in epistemology. Just as we should be open to the idea that knowledge can come from non-knowledge, we should be (...) open to the idea that justified beliefs can come from unjustified beliefs. (shrink)

Perception provides us with access to the external world, but that access is shaped by our own experiential histories. Through perceptual learning, we can enhance our capacities for perceptual discrimination, categorization, and attention to salient properties. We can also encode harmful biases and stereotypes. This article reviews interdisciplinary research on perceptual learning, with an emphasis on the implications for our rational and normative theorizing. Perceptual learning raises the possibility that our inquiries into topics such as epistemic justification, (...) aesthetic criticism, and moral knowledge should include not only an examination of cognition but also of perception. (shrink)

Cognitive penetration of perception, broadly understood, is the influence that the cognitive system has on a perceptual system. The paper shows a form of cognitive penetration in the visual system which I call ‘architectural’. Architectural cognitive penetration is the process whereby the behaviour or the structure of the perceptual system is influenced by the cognitive system, which consequently may have an impact on the content of the perceptual experience. I scrutinize a study in perceptual learning that provides empirical evidence (...) that cognitive influences in the visual system produce neural reorganization in the primary visual cortex. The type of cognitive penetration can be synchronic and diachronic. (shrink)

The evidential value of moral intuitions has been challenged by psychological work showing that the intuitions of ordinary people are affected by distorting factors. One reply to this challenge, the expertise defence, claims that training in philosophical thinking confers enhanced reliability on the intuitions of professional philosophers. This defence is often expressed through analogy: since we do not allow doubts about folk judgments in domains like mathematics or physics to undermine the plausibility of judgments by experts in these domains, we (...) also should not do so in philosophy. In this paper I clarify the logic of the analogy strategy, and defend it against recent challenges by Jesper Ryberg. The discussion exposes an interesting divide: while Ryberg’s challenges may weaken analogies between morality and domains like mathematics, they do not affect analogies to other domains, such as physics. I conclude that the expertise defence can be supported by analogical means, though care is required in selecting an appropriate analog. I discuss implications of this conclusion for the expertise defence debate and for study of the moral domain itself. (shrink)