In this paper art history and visual studies, the disciplines that study visual culture, are presented as a field whose conjectural paradigm can be used to understand the epistemic problems associated with abduction. In order to do so, significant statements, concepts and arguments from the work of several specialists in this field have been highlighted. Their analysis shows the fruitfulness and potential for understanding the study of visual culture as a field that is interwoven with the assumptions of abductive (...) cognition. (shrink)

Theoretical and manipulative abduction conjectures and manipulations : the extra-theoretical dimension of scientific discovery. -- Non-explanatory and instrumental abduction : plausibility, implausibility, ignorance preservation. -- Semiotic brains and artificial minds : how brains make up material cognitive systems. -- Neuromultimodal abduction : pre-wired brains, embidiment, neurospaces. -- Animal abduction : from mindless organisms to srtifactual mediators. -- Abduction, affordances, and cognitive niches : sharing representations and creating chances through cognitive niche construction. -- (...) Abduction in human and logical agents : hasty generalizers, hybrid abducers, fallacies. -- Morphodynamical abduction : causation of hypotheses by attractors dynamics. (shrink)

An agent-centered, goal-directed, resource-bound logic of human reasoning would do well to note that individual cognitive agency is typified by the comparative scantness of available cognitive resources—information, time, and computational capacity, to name just three. This motivates individual agents to set their cognitive agendas proportionately, that is, in ways that carry some prospect of success with the resources on which they are able to draw. It also puts a premium on cognitive strategies which make economical use (...) of those resources. These latter I callscant-resource adjustment strategies,and they supply the context for an analysis of abduction. The analysis is Peircian in tone, especially in the emphasis it places on abduction’signorance-preservingcharacter. My principal purpose here is to tie abduction’s scarce-resource adjustment capacity to its ignorance preservation. (shrink)

This book employs a new eco-cognitive model of abduction to underline the distributed and embodied nature of scientific cognition. Its main focus is on the knowledge-enhancing virtues of abduction and on the productive role of scientific models. What are the distinctive features that define the kind of knowledge produced by science? To provide an answer to this question, the book first addresses the ideas of Aristotle, who stressed the essential inferential and distributed role of external cognitive (...) tools and epistemic mediators in abductive cognition. This is analyzed in depth from both a naturalized logic and an ecology of cognition perspective. It is shown how the maximization of cognition, and of abducibility – two typical goals of science – are related to a number of fundamental aspects: the optimization of the eco-cognitive situatedness; the maximization of changeability for both the input and the output of the inferences involved; a high degree of information-sensitiveness; and the need to record the “past life” of abductive inferential practices. Lastly, the book explains how some impoverished epistemological niches – the result of a growing epistemic irresponsibility associated with the commodification and commercialization of science – are now seriously jeopardizing the flourishing development of human creative abduction. (shrink)

This article analyzes three approaches to resolving the classical Meno paradox, or its variant, the learning paradox, emphasizing Charles S. Peirce’s notion of abduction. Abduction provides a way of dissecting those processes where something new, or conceptually more complex than before, is discovered or learned. In its basic form, abduction is a “weak” form of inference, i.e., it gives only tentative suggestions for further investigation. But it is not too weak if various sources of clues and restrictions (...) on the abductive search are taken into account. We present three, complementary versions of abduction: as a sort of guessing instinct or expert-like intuition, where unconscious clues are important; as a form of inference, where a strategic point of view is essential; and as a part of distributed cognition and mediated activity, where the interaction with the material, social, and cultural environment is emphasized. Our starting point is Peirce’s own notion of abduction, but we broaden the perspective, especially to the direction of distributed cognition. (shrink)

_Locked_ and _unlocked_ strategies are illustrated in this article as concepts that deal with important cognitive aspects of deep learning systems. They indicate different inference routines that refer to poor (locked) to rich (unlocked) cases of creative production of creative cognition. I maintain that these differences lead to important consequences when we analyze computational deep learning programs, such as AlphaGo/AlphaZero, which are able to realize various types of abductive hypothetical reasoning. These programs embed what I call locked abductive strategies, (...) so, even if they present spectacular performances for example in games, they are characterized by poor types of hypothetical creative cognition insofar as they are constrained in what I call _eco-cognitive openness_. This openness instead characterizes unlocked human cognition that pertains to higher kinds of abductive reasoning, in both the creative and diagnostic cases, in which cognitive strategies are instead unlocked. This special kind of “openness” is physically rooted in the fundamental character of the human brain as an open system constantly coupled with the environment (that is, an “open” or “dissipative” system): its activity is the uninterrupted attempt to achieve the equilibrium with the environment in which it is embedded, and this interplay can never be switched off without producing severe damage to the brain. The brain cannot be conceived as deprived of its physical quintessence that is its openness. In the brain, contrary to the computational case, ordering is not derived from the outside thanks to what I have called in a recent book “computational domestication of ignorant entities”, but it is the direct product of an “internal” open dynamical process of the system. (shrink)

Abduction and metaphor are two significant concepts in cognitive science. It is found that the both mental processes are on the basis of certain similarity. The similarity inspires us to seek the answers to the following two questions: Whether there is a common cognitive mechanism behind abduction and metaphor? And if there is, whether this common mechanism could be interpreted within the unified frame of modern intelligence theory? Centering on these two issues, the paper attempts to (...) characterize and interpret the generation and evolution of scientific metaphors from the perspective of the cognitive mechanism of abductive inference. Then it interprets the common cognitive mechanism behind abduction and metaphor within Hawkins’ frame of intelligence theory. The commonality between abduction and metaphor indicates the potential to further explore human intelligence. (shrink)

Abduction and metaphor are two significant concepts in cognitive science. It is found that the both mental processes are on the basis of certain similarity. The similarity inspires us to seek the answers to the following two questions: (1) Whether there is a common cognitive mechanism behind abduction and metaphor? And (2) if there is, whether this common mechanism could be interpreted within the unified frame of modern intelligence theory? Centering on these two issues, the paper (...) attempts to characterize and interpret the generation and evolution of scientific metaphors from the perspective of the cognitive mechanism of abductive inference. Then it interprets the common cognitive mechanism behind abduction and metaphor within Hawkins’ frame of intelligence theory. The commonality between abduction and metaphor indicates the potential to further explore human intelligence. (shrink)

Reverse inference is a crucial inferential strategy used in cognitive neuroscience to derive conclusions about the engagement of cognitive processes from patterns of brain activation. While widely employed in experimental studies, it is now viewed with increasing scepticism within the neuroscience community. One problem with reverse inference is that it is logically invalid, being an instance of abduction in Peirce’s sense. In this paper, we offer the first systematic analysis of reverse inference as a form of abductive (...) reasoning and highlight some relevant implications for the current debate. We start by formalising an important distinction that has been entirely neglected in the literature, namely the distinction between weak and strong reverse inference. Then, we rely on case studies from recent neuroscientific research to systematically discuss the role and limits of both strong and weak reverse inference; in particular, we offer the first exploration of weak reverse inference as a discovery strategy within cognitive neuroscience. (shrink)

Kleinberg (1999) describes a novel procedure for efficient search in a dense hyper-linked environment, such as the world wide web. The procedure exploits information implicit in the links between pages so as to identify patterns of connectivity indicative of “authorative sources”. At a more general level, the trick is to use this second-order link-structure information to rapidly and cheaply identify the knowledge- structures most likely to be relevant given a specific input. I shall argue that Kleinberg’s procedure is suggestive of (...) a new, viable, and neuroscientifically plausible solution to at least (one incarnation of) the so-called “Frame Problem” in cognitive science viz the problem of explaining global abductive inference. More accurately, I shall argue that. (shrink)

This book gathers together novel essays on the state-of-the-art research into the logic and practice of abduction. In many ways, abduction has become established and essential to several fields, such as logic, cognitive science, artificial intelligence, philosophy of science, and methodology. In recent years this interest in abduction’s many aspects and functions has accelerated. There are evidently several different interpretations and uses for abduction. Many fundamental questions on abduction remain open. How is abduction (...) manifested in human cognition and intelligence? What kinds or types of abduction can be discerned? What is the role for abduction in inquiry and mathematical discovery? The chapters aim at providing answer to these and other current questions. Their contributors have been at the forefront of discussions on abduction, and offer here their updated approaches to the issues that they consider central to abduction’s contemporary relevance. The book is an essential reading for any scholar or professional keeping up with disciplines impacted by the study of abductive reasoning, and its novel development and applications in various fields. (shrink)

Historians of philosophy will spill huge amounts of ink scrutinizing the reason why abduction was highlighted so much in the first two decades of the 21st century. Not to mention the numerous scholarly articles on abduction published in logic, cognitive science, artificial intelligence, semiotics, and philosophy of science, several monographs on abduction appeared during this period: Magnani, Walton, Gabbay and Woods, Aliseda, to name a few. It looks as if they were responding to Hintikka’s influential paper (...) “What Is Abduction? The Fundamental Problem of Contemporary Epistemology” published in this journal at the end of the last century.In order to appreciate... (shrink)

Peirce presented early formulations of abductive inference nearly 150 years ago. Since then new interpretations have been presented (some of them quite independently of Peirce), but there is still a close link to Peirce’s formulations. Lorenzo Magnani has written a new book on abduction where the main theme is not Peirce’s interpretation of abduction as such, but the book is very interesting from the Peircean perspective. In this review I shall focus on some of the themes from this (...) point of view. Magnani presents a broad view on abduction instead of presenting only one specific interpretation of abduction. This reflects the history of abduction. Peirce’s writings themselves give elements for various.. (shrink)

Aristotle clearly states that in syllogistic theory local/environmental cognitive factors—external to that peculiar inferential process, for example regarding users/reasoners, are given up. Indeed, to define syllogism Aristotle first of all insists that all syllogisms are valid and contends that the necessity of this kind of reasoning is related to the circumstance that “no further term from outside is needed”, in sum syllogism is the fruit of a kind of eco-cognitive immunization. At the same time Aristotle presents a seminal (...) perspective on abduction, which contrasts with the previous one on syllogismos: the second part of the article considers the famous passage in the chapter B25 of Prior Analytics concerning ἀπαγωγή, also studied by Peirce. I contend that some of the current well-known distinctive characters of abductive cognition are already expressed, which are in tune with what I have called Eco-cognitive Model of abduction. By providing an illustration of the role of the method of analysis and of the middle terms in Plato’s dialectic argumentation, considered as related to the diorismic/poristic process in ancient geometry I maintain that it is just this intellectual heritage which informs Aristotle’ chapter B25 on ἀπαγωγή. Even if, in general, Aristotle seems to sterilize, thanks to the invention of syllogistic theory, every “dialectic” background of reasoning, nevertheless in chapter B25 he is still pointing to the fundamental inferential role in reasoning of those externalities that substantiate the process of “leading away”. Hence, we can gain a new positive perspective about the “constitutive” eco-cognitive character of abduction, just thanks to Aristotle himself. (shrink)

In her book Abductive Reasoning Atocha Aliseda stresses the attention to the logical models of abduction, centering on the semantic tableaux as a method for extending and improving both the whole cognitive/philosophical view on it and on other more restricted logical approaches. I will describe the importance of increasing logical knowledge on abduction also taking advantage of some ideas coming from the so-called distributed cognition where logical models are seen as forms of cognitive externalizations of preexistent (...) in-formal human reasoning performances. (shrink)

Phenomenology has been described as a “non-argumentocentric” way of doing philosophy, reflecting that the philosophical focus is on generating adequate descriptions of experience. But it should not be described as an argument-free zone, regardless of whether this is intended as a descriptive claim about the work of the “usual suspects” or a normative claim about how phenomenology ought to be properly practiced. If phenomenology is always at least partly in the business of arguments, then it is worth giving further attention (...) to the role and form of phenomenological argumentation, how it interacts with its more strictly descriptive component, and the status of phenomenological claims regarding conditions for various kinds of experience. I contend that different versions of phenomenological reasoning encroach upon argument forms that are commonly thought to be antithetical to phenomenology, notably abductive reasoning, understood in terms of its role in both hypothesis generation and in terms of justification. This paper identifies two main steps to making this case. The first step takes seriously the consequences of the intrinsically dialectical aspect of phenomenology in intersection with other modes of philosophy, the natural attitude, and non-philosophy. The second step focuses on transcendental reflection and arguments about the conditions/structures they contain. Together, these two steps aim to rescue phenomenology from the objection that it has an “ostrich epistemology” with regard to the ostensible purity of description, the intuition of essences, or the “conditions” ascertained through transcendental reflection. (shrink)

In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents (...) new ideas about inferential and information-processing foundations for knowledge and certainty. The authors argue that knowledge arises from experience by processes of abductive inference, in contrast to the view that it arises non-inferentially, or that deduction and inductive generalization are enough to account for knowledge. Much AI research is hypothetical, so the importance of this book is that it reports key discoveries about abduction that have been made as a result of designing, building, testing, and analyzing actual working knowledge-based systems for medical diagnosis and other abductive tasks. The book tells the story of six generations of increasingly sophisticated generic abduction machines, RED-1, RED-2, PEIRCE, MDX2, TIPS, QUAWDS, and the discovery of reasoning strategies that make it computationally feasible to form well-justified composite explanatory hypotheses, despite the threat of combinatorial explosion. The final chapter argues that perception is logically abductive and presents a layered-abduction computational model of perceptual information processing. This book will be of great interest to researchers in AI, cognitive science, and philosophy of science. (shrink)

In my opinion, it is only in the framework of a research dealing with abductive cognition that we can analyze important cognitive aspects of human and machine capacities. From the point of view of human capacities the phenomenological concept of anticipation, which is related to the problem of the spontaneous generation of spatiality and its three-dimensionality, will be central. I will describe that anticipations can be seen as types of visual and manipulative abduction and also fruitful to illustrate, (...) in the case of human and machine capacities, the respective role of two kinds of strategic reasoning: locked and unlocked abductive strategies, which characterize the basic cognitive pro- cedure of “reading ahead”. The specificity of these contrasting inferential strategies is also related to their potentiality in producing different kinds of hypothetical outcomes, which in turn represent dissimilar levels of knowledge creativity. This diversity is also fundamental to depict the special character, the kind of creativity, and the limits of current computational deep learning AI systems, such as AlphaGo, which realize abductive cognitive processes. (shrink)

Diminishing awareness is a consequence of the information explosion: disciplines are becoming increasingly specialized; individuals and groups are becoming ever more insular. This article considers how awareness can be enhanced via operational abductive systems. The goal is to generate and justify suggestions which can span disparate islands of knowledge. Knowledge representation is motivated from a cognitive perspective. Words and concepts are represented as vectors in a high dimensional semantic space automatically derived from a text corpus. Various mechanisms will be (...) presented for computing suggestions from semantic space: information flow, semantic similarity, pre-inductive generalization. The overall goal of this article is to introduce semantic space to the model-based reasoning and abduction community and to illustrate its potential for principled, operational abduction by semi-automatically replicating the Swanson Raynaud/fish oil discovery in medical text. (shrink)

This book examines three areas in which abductive reasoning is especially important: medicine, science, and law. The reader is introduced to abduction and shown how it has evolved historically into the framework of conventional wisdom in logic. Discussions draw upon recent techniques used in artificial intelligence, particularly in the areas of multi-agent systems and plan recognition, to develop a dialogue model of explanation. Cases of causal explanations in law are analyzed using abductive reasoning, and all the components are finally (...) brought together to build a new account of abductive reasoning. By clarifying the notion of abduction as a common and significant type of reasoning in everyday argumentation, _Abductive Reasoning_ will be useful to scholars and students in many fields, including argumentation, computing and artificial intelligence, psychology and cognitive science, law, philosophy, linguistics, and speech communication and rhetoric. (shrink)

In her book Abductive Reasoning Atocha Aliseda (2006) stresses the attention to the logical models of abduction, centering on the semantic tableaux as a method for extending and improving both the whole cognitive/philosophical view on it and on other more restricted logical approaches. I will provide further insight on two aspects. The first is re-lated to the importance of increasing logical knowledge on abduction: Aliseda clearly shows how the logical study on abduction in turn helps us (...) to extend and modernize the classical and received idea of logic. The second refers to some ideas coming from the so-called distributed cognition and concerns the role of logical models as forms of cognitive exter-nalizations of preexistent in-formal human reasoning performances. The logical externalization in objective systems, communicable and sharable, is able to grant stable perspectives endowed with symbolic, abstract, and rigorous cogni-tive features. I will also emphasize that Aliseda especially stresses that this character of stability and objectivity of logical achievements are not usually present in models of abduction that are merely cognitive and epistemological, and of ex-treme importance from the computational point of view. (shrink)

This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction (...) across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds. (shrink)

Design has usually been linked to art and applied in scenarios related to everyday life. Even when design has, on occasion, made its way into the world of academia, it has always been closely linked to art and scenarios related everyday life. At last, however, the idea of design has reached the field of epistemology: an area within the very heart of philosophy that has always focused, in theory, on the foundations of knowledge. Consequently, design is being studied from different (...) approaches interested in the foundation of knowledge, theoretical and practical. This is one of the reasons why abduction and pragmatism have been considered relevant from a design perspective. This paper first shows the main features of abduction and pragmatism, describes their evolution and considers their mutual implications. Second, the epistemology of design is analysed considering its most relevant characteristics. Third, the connection between abduction and, on the one hand, pragmatism and, on the other, design epistemology is addressed. Finally, the role of abductive inference in grounding a real epistemology for design theory from the naturalised cognitive perspective of abduction is outlined. The central proposition is that this approach is essential as a methodological innovation, as it allows us to analyse both the inquiry process and the design process as interdependent when dealing with practical problems of a social and cultural nature. This approach allows us to analyse how human actions determine changes in the theoretical framework from which we make our inquiry. In short, the world is an open-ended project that humans design through our daily inquiry. (shrink)

Abduction, deduction and induction are different forms of inference in science. However, only a few attempts have been made to introduce the idea of abductive reasoning as an extended way of thinking about clinical practice in nursing research. The aim of this paper was to encourage critical reflections about abductive reasoning based on three empirical examples from nursing research and includes three research questions on what abductive reasoning is, how the process has taken place, and how knowledge about abductive (...) reasoning based on the examples can inform nursing research and clinical practice. The study has a descriptive and explorative approach using a convenience sample of three empirical studies from nursing research. The three studies illustrate different ways to enter the abductive reasoning process in steps. They represent new caring models, which offer visual and cognitive maps for expanding nursing research, education and thus informing care. Therefore, we suggest that abductive reasoning may be beneficial for different ways of knowing and demonstrates scientific innovation to shed new light on health phenomena, which can help researchers and practitioners to gain a broader and deeper understanding of nursing care inquiry. However, more studies are needed to broaden this scope. (shrink)

Philosophers have usually offered a number of ways of describing hypotheses generation, but all aim at demonstrating that the activity of generating hypotheses is paradoxical, illusory or obscure, and then not analysable. Those descriptions are often so far from Peircian pragmatic prescription and so abstract to result completely unknowable and obscure. The “computational turn” gives us a new way to understand creative processes in a strictly pragmatic sense. In fact, by exploiting artificial intelligence and cognitive science tools, computational philosophy (...) allows us to test concepts and ideas previously conceived only in abstract terms. It is in the perspective of these actual computational models that I find the central role of abduction in the explanation of creative reasoning in science. Creativity and discovery are no more seen as a mysterious irrational process, but, thanks to constructive accounts, as a complex relationship among different inferential steps that can be clearly analysed and identified. I maintain that the computational philosophy analysis of model-based and manipulative abduction and of external and epistemic mediators is important not only to delineate the actual practice of abduction, but also to further enhance the development of programs computationally adequate in rediscovering, or discovering for the first time, for example, scientific hypotheses or mathematical theorems. (shrink)

This book offers a novel perspective on abduction. It starts by discussing the major theories of abduction, focusing on the hybrid nature of abduction as both inference and intuition. It reports on the Peircean theory of abduction and discusses the more recent Magnani concept of animal abduction, connecting them to the work of medieval philosophers. Building on Magnani's manipulative abduction, the accompanying classification of abduction, and the hybrid concept of abduction as both (...) inference and intuition, the book examines the problem of visual perception together with the related concepts of misrepresentation and semantic information. It presents the author's views on caricature and the caricature model of science, and then extends the scope of discussion by introducing some standard issues in the philosophy of science. By discussing the concept of ad hoc hypothesis generation as enthymeme resolution, it demonstrates how ubiquitous the problem of abduction is in all the different individual scientific disciplines. This comprehensive text provides philosophers, logicians and cognitive scientists with a historical, unified and authoritative perspective on abduction. (shrink)

Delusional beliefs have sometimes been considered as rational inferences from abnormal experiences. We explore this idea in more detail, making the following points. Firstly, the abnormalities of cognition which initially prompt the entertaining of a delusional belief are not always conscious and since we prefer to restrict the term “experience” to consciousness we refer to “abnormal data” rather than “abnormal experience”. Secondly, we argue that in relation to many delusions (we consider eight) one can clearly identify what the abnormal (...) class='Hi'>cognitive data are which prompted the delusion and what the neuropsychological impairment is which is responsible for the occurrence of these data; but one can equally clearly point to cases where this impairments is present but delusion is not. So the impairment is not sufficient for delusion to occur. A second cognitive impairment, one which impairs the ability to evaluate beliefs, must also be present. Thirdly (and this is the main thrust of our chapter) we consider in detail what the nature of the inference is that leads from the abnormal data to the belief. This is not deductive inference and it is not inference by enumerative induction; it is abductive inference. We offer a Bayesian account of abductive inference and apply it to the explanation of delusional belief. (shrink)

This is an excerpt from the contentMost academics have heard of deduction and induction, but much less familiar is the kind of inference that the American philosopher Charles Peirce called abduction. Abductive inference is the generation and evaluation of explanatory hypotheses, a kind of reasoning that is far more common and important than deductions, which rarely occur outside of mathematics, and inductions from examples to generalizations. Lorenzo Magnani has produced a magnum opus on abduction that brilliantly spans its (...) philosophical, neuropsychological, computational, and ecological dimensions. In this review I will briefly highlight some of the substantial contributions of Abductive Cognition and raise a few objections to it. I finish by briefly discussing the relevance of abduction to concerns about mind and society. Magnani’s treatise is by far the most comprehensive discussion of abductive thinking to date. In the first chapter, he reviews various ways of thinking about abduction, ranging from sentential approac. (shrink)

Lorenzo Magnani: Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning Content Type Journal Article Category Book Review Pages 1-7 DOI 10.1007/s11023-011-9267-6 Authors Cameron Shelley, Centre for Society, Technology, and Values, University of Waterloo, Waterloo, Canada Journal Minds and Machines Online ISSN 1572-8641 Print ISSN 0924-6495.

Abduction is or subsumes a process of inference. It entertains possible hypotheses and it chooses hypotheses for further scrutiny. There is a large literature on various aspects of non-symbolic, subconscious abduction. There is also a very active research community working on the symbolic (logical) characterisation of abduction, which typically treats it as a form of hypothetico-deductive reasoning. In this paper we start to bridge the gap between the symbolic and sub-symbolic approaches to abduction. We are interested (...) in benefiting from developments made by each community. In particular, we are interested in the ability of non-symbolic systems (neural networks) to learn from experience using efficient algorithms and to perform massively parallel computations of alternative abductive explanations. At the same time, we would like to benefit from the rigour and semantic clarity of symbolic logic. We present two approaches to dealing with abduction in neural networks. One of them uses Connectionist Modal Logic and a translation of Horn clauses into modal clauses to come up with a neural network ensemble that computes abductive explanations in a top-down fashion. The other combines neural-symbolic systems and abductive logic programming and proposes a neural architecture which performs a more systematic, bottom-up computation of alternative abductive explanations. Both approaches employ standard neural network architectures which are already known to be highly effective in practical learning applications. Differently from previous work in the area, our aim is to promote the integration of reasoning and learning in a way that the neural network provides the machinery for cognitive computation, inductive learning and hypothetical reasoning, while logic provides the rigour and explanation capability to the systems, facilitating the interaction with the outside world. Although it is left as future work to determine whether the structure of one of the proposed approaches is more amenable to learning than the other, we hope to have contributed to the development of the area by approaching it from the perspective of symbolic and sub-symbolic integration. (shrink)

I propose an analysis of deception as the activity of intentionally misleading other agents’ hypothetical inferences. Understanding deception in this way has the advantages of clarifying the epistemological and cognitive dynamics involved in deception. Indeed, if deception can be framed as the intentional manipulation of others’ hypothetical inferences so that they will accept the false or disadvantageous hypotheses, then a better understanding of the epistemological and cognitive dynamics involved in deception will emerge by clarifying how abduction works. (...) Tracing it back to Peirce’s analysis, I will focus on recent perspectives on abduction, which stress the inherent strategic character of abductive cognition and offer a realistic description of the reasoners’ capabilities and their scant resources, both internal (computational power) and external (time and information available). To support and substantiate my thesis, I will examine psychological analyses of military deception. I will conclude by remarking the advantages of the thesis here presented to better understand the epistemological dynamics of deception and by highlighting the questions it leaves open for further investigations. (shrink)

Following ideas of Ch. S. Peirce on continuity of mind (synechism) and universality of semiotic processes (pansemiotism) as well as development of the understanding of manipulative abduction in works of L. Magnani the thesis of possibility of abductive reasoning in non-human animal minds is defended. The animal capacity to form explanatory hypotheses is demonstrated by instances of grasping regularities in environment, behavior of conspecifics and even self-knowledge. In the framework of debate on instinctual or rather inferential nature of abductive (...) capacity questions of innate and acquired mechanisms of learning, the role of language in development of explanations and priority of inner (emotional) or outer (referential) perspectives in genesis of first explanatory hypotheses are considered. (shrink)

The aim of this paper is to investigate the relationship between information and abductive reasoning in the context of problem-solving, focusing on non-human animals. Two questions guide our investigation: What is the relation between information and abductive reasoning in the context of human and non-human animals? Do non-human animals perform discovery based on inferential processes such as abductive reasoning? In order to answer these questions, we discuss the semiotic concept of information in relation to the concept of abductive reasoning and, (...) more specifically, to the notion of manipulative abduction proposed by Magnani. Finally, we investigate a case study of corvids’ intelligence, namely, their capacity of causal cognition. (shrink)

In this paper we maintain that abductive inferential processes should be embedded to a more general outlook on human cognition. Abduction has clear a.nities to the so-called interrogative model of inquiry in which inquiry and reasoning are conceptualized as a dialogue. We think, in addition, that dialogicality must be broadened to a “trialogical” framework which means a threefold relationship with mediating artefacts where the inquirer, other inquirers , and the object of knowledge are inextricably bound up with each other (...) in long term processes of inquiry. Seen from this perspective Peirce's semeiotic pragmatism has close connections to modern ideas about distributed cognition; also to Pera's dialectical model of science, and Davidson's theory of triangulation concerning human mind, cognition, and knowledge. (shrink)

This monograph attempts to clarify one significant but much neglected aspect of Peirce's contribution to the philosophy of science. It was written in 1963 as my M. A. thesis at the Uni versity of Illinois. Since the topic is still neglected it is hoped that its pUblication will be of use to Peirce scholars. I should like to acknowledge my indebtedness to Dr. Max Fisch who broached this topic to me and who advised me con tinuously through its development, assisting (...) generously with his own insights and unpublished Peirce manuscripts. TABLE OF CONTENTS INTRODUCTION 1. A Current Issue in the Philosophy of Science 1 2. Peirce and His Theory of Abduction 5 3. The General Character of Abduction 7 PART I: THE EARLY THEORY 1. Peirce's Earliest Conception of Inference 11 2. Three Kinds of Inference and Three Figures of Syllogism 13 3. Ampliative Inference and Cognition 17 4. Induction and Hypothesis 20 5. The Method of Methods 23 PART II: THE LATER THEORY 1. The Transitional Period 28 2. Three Stages of Inquiry 31 3. Abduction and Guessing Instinct 35 4. Logic as a Normative Science 38 5. Hypothesis Construction and Selection 41 6. Abduction and Pragmatism 44 7. Economy of Research 47 8. Justification of Abduction 51 CONCLUSION 55 61 BIBLIOGRAPHY INTRODUCTION 1. (shrink)

Despite their growing separation over the years, logic and philosophy of science should still be allies pursuing an agenda of rational agency ranging from specific mechanisms like abduction to the broader study of reasoning, belief revision, learning, and intelligent interaction.

Despite their growing separation over the years, logic and philosophy of science should still be allies pursuing an agenda of rational agency ranging from specific mechanisms like abduction to the broader study of reasoning, belief revision, learning, and intelligent interaction.

The received theories of epistemology identify abductive inferences with the cognitive patterns of speculation (hypothesis formation) and insist that they cannot verify or confirm hypotheses. I criticize various descriptions of abduction, offer a structural analysis of abductive inference,, characterize abduction without alluding to its putative role in inquiry, and then demonstrate that some abductions do provide evidence and that not all scientific hypotheses derive from abductive inferences. This result challenges those notions of scientific k knowledge that dismiss (...) some central scientific ideas (for example, evolution) as ‘meta-physical research programs’ or ‘just theories’ when they are instead well substantiated by abductive evidence. (shrink)

The author deals with the operational core oflogic, i.e. its diverse procedures ofinference, in order to show that logicallyfalse inferences may in fact be right because –in contrast to logical rationality – theyactually enlarge our knowledge of the world.This does not only mean that logically trueinferences say nothing about the world, butalso that all our inferences are inventedhypotheses the adequacy of which cannot beproved within logic but only pragmatically. Inconclusion the author demonstrates, through therelationship between rule-following andrationality, that it is (...) most irrational to wantto exclude the irrational: it may, at times, bemost rational to think and infer irrationally.Focussing on the operational aspects of knowingas inferring does away with the hiatus betweenlogic and life, cognition and the world(reality) – or whatever other dualism one wantsto invoke –: knowing means inferring, inferringmeans rule-governed interpreting, interpretingis a constructive, synthetic act, and aconstruction that proves adequate (viable) inthe ``world of experience'', in life, in thepraxis of living, is, to the constructivistmind, knowledge. It is the practice of livingwhich provides the orienting standards forconstructivist thinking and its judgments ofviability. The question of truth is replaced bythe question of viability, and viabilitydepends on the (right) kind of experiential fit. (shrink)

Phenomenology has been described as a “non-argumentocentric” way of doing philosophy, reflecting that the philosophical focus is on generating adequate descriptions of experience. But it should not be described as an argument-free zone, regardless of whether this is intended as a descriptive claim about the work of the “usual suspects” or a normative claim about how phenomenology ought to be properly practiced. If phenomenology is always at least partly in the business of arguments, then it is worth giving further attention (...) to the role and form of phenomenological argumentation, how it interacts with its more strictly descriptive component, and the status of phenomenological claims regarding conditions for various kinds of experience. I contend that different versions of phenomenological reasoning encroach upon argument forms that are commonly thought to be antithetical to phenomenology, notably abductive reasoning, understood in terms of its role in both hypothesis generation and in terms of justification. This paper identifies two main steps to making this case. The first step takes seriously the consequences of the intrinsically dialectical aspect of phenomenology in intersection with other modes of philosophy, the natural attitude, and non-philosophy. The second step focuses on transcendental reflection and arguments about the conditions/structures they contain. Together, these two steps aim to rescue phenomenology from the objection that it has an “ostrich epistemology” with regard to the ostensible purity of description, the intuition of essences, or the “conditions” ascertained through transcendental reflection. (shrink)

From the perspective of distributed cognition I will stress how abduction is essentially multimodal, in that both data and hypotheses can have a full range of verbal and sensory representations, involving words, sights, images, smells, etc., but also kinesthetic – related to the ability to sense the position and location and orientation and movement of the body and its parts – and motor experiences and other feelings such as pain, and thus all sensory modalities. The presence of kinesthetic and (...) motor aspects demonstrates that abductive reasoning can be manipulative. We can also see, in this regard, how implicit factors take part in the abductive procedure, which consequently acquires the character of a kind of “thinking through doing”. This paper further describes 1) the fact that hypotheses in science can be built through different cognitive mediators and so they can also model the same cognitive aspect in different ways; how they can be carriers/ producers of knowledge in a multimodal way; 2) the problem of the possible non-explanatory and instrumental nature of abductive reasoning and the analysis of the consequences for induction; 3) the role of manipulative abduction in building new evidence/ experiments and how they trigger smart inductive inferences. (shrink)

Abduction is or subsumes a process of inference. It entertains possible hypotheses and it chooses hypotheses for further scrutiny. There is a large literature on various aspects of non-symbolic, subconscious abduction. There is also a very active research community working on the symbolic (logical) characterisation of abduction, which typically treats it as a form of hypothetico-deductive reasoning. In this paper we start to bridge the gap between the symbolic and sub-symbolic approaches to abduction. We are interested (...) in benefiting from developments made by each community. In particular, we are interested in the ability of non-symbolic systems (neural networks) to learn from experience using efficient algorithms and to perform massively parallel computations of alternative abductive explanations. At the same time, we would like to benefit from the rigour and semantic clarity of symbolic logic. We present two approaches to dealing with abduction in neural networks. One of them uses Connectionist Modal Logic and a translation of Horn clauses into modal clauses to come up with a neural network ensemble that computes abductive explanations in a top-down fashion. The other combines neural-symbolic systems and abductive logic programming and proposes a neural architecture which performs a more systematic, bottom-up computation of alternative abductive explanations. Both approaches employ standard neural network architectures which are already known to be highly effective in practical learning applications. Differently from previous work in the area, our aim is to promote the integration of reasoning and learning in a way that the neural network provides the machinery for cognitive computation, inductive learning and hypothetical reasoning, while logic provides the rigour and explanation capability to the systems, facilitating the interaction with the outside world. Although it is left as future work to determine whether the structure of one of the proposed approaches is more amenable to learning than the other, we hope to have contributed to the development of the area by approaching it from the perspective of symbolic and sub-symbolic integration. (shrink)

In this essay, I argue that developments in Alvin Plantinga’s evolutionary argument against naturalism—specifically, Thomas Crisp’s argument against a naturalistic metaphysics—have likely undermined the project of science for naturalists who are scientific realists. Scientific theorizing requires the use of abductive reasoning. A central component of abductive reasoning is the use of one’s imagination. However, Crisp’s argument provides us reason to doubt the trustworthiness of our cognitive faculties as it relates to the imaginative abilities necessary for complex abductive reasoning.