Over two decades ago a "quite revolution" overwhelmingly replaced knowledgebased approaches in natural language processing (NLP) by quantitative (e.g., statistical, corpus-based, machine learning) methods. Although it is our firm belief that purely quantitative approaches cannot be the only paradigm for NLP, dissatisfaction with purely engineering approaches to the construction of large knowledge bases for NLP are somewhat justified. In this paper we hope to demonstrate that both trends are partly misguided and that the time has come to enrich logical (...) semantics with an ontological structure that reflects our commonsense view of the world and the way we talk about in ordinary language. In this paper it will be demonstrated that assuming such an ontological structure a number of challenges in the semantics of natural language (e.g., metonymy, intensionality, copredication, nominal compounds, etc.) can be properly and uniformly addressed. (shrink)

We argue that logical semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts: ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of and relations between objects of various ontological types. We will then show that accounting for these differences amounts to the integration of lexical and compositional semantics in one coherent framework, and to an embedding in our logical semantics of (...) a strongly-typed ontology that reflects our commonsense view of the world and the way we talk about it in ordinary language. We will show that in such a framework a number of challenges in natural language semantics can be adequately and systematically treated. (shrink)

The purpose of this paper is twofold: (i) we argue that the structure of commonsense knowledge must be discovered, rather than invented; and (ii) we argue that natural language, which is the best known theory of our (shared) commonsense knowledge, should itself be used as a guide to discovering the structure of commonsense knowledge. In addition to suggesting a systematic method to the discovery of the structure of commonsense knowledge, the method we (...) propose seems to also provide an explanation for a number of phenomena in natural language, such as metaphor, intensionality, and the semantics of nominal compounds. Admittedly, our ultimate goal is quite ambitious, and it is no less than the systematic ‘discovery’ of a well-typed ontology of commonsense knowledge, and the subsequent formulation of the longawaited goal of a meaning algebra. (shrink)

Review of a compendium of alternative formal representations of common-sense knowledge. The book is centered largely on formal representations drawn from first-order logic, and thus lies in the tradition of Kenneth Forbus, Patrick Hayes and Jerry Hobbs.

Reid rejects the image theory --the representative or indirect realist position--that memory-judgements are inferred from or otherwise justified by a present image or introspectible state. He also rejects the trace theory , which regards memories as essentially traces in the brain. In contrast he argues for a direct knowledge account in which personal memory yields unmediated knowledge of the past. He asserts the reliability of memory, not in currently fashionable terms as a reliable belief-forming process, but more elusively (...) as a principle of Commonsense. There remains a contemporary consensus against Reid's position. I argue that Reid's critique is essentially sound, and that the consensus is mistaken; personal memory judgements are spontaneous and non-inferential in the same way as perceptual judgements. But I question Reid's account of the connection between personal memory and personal identity. My primary concern is rationally reconstructive rather than scholarly, and downplays recent interpretations of Reid's faculty psychology as a precursor of functionalism and other scientific philosophies of mind. (shrink)

Dynamic conceptual reframing represents a crucial mechanism employed by humans, and partially by other animal species, to generate novel knowledge used to solve complex goals. In this talk, I will present a reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion [1]. The proposed approach has been tested both in the task of goal-driven (...) concept invention [2,3] and has additionally applied within the context of serendipity-based recommendation systems [4]. I will present the obtained results, the lessons learned, and the road ahead of this research path. -/- . (shrink)

Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this talk, I will show how commonsense reasoning plays a crucial role in this respect. In particular, I will present a cognitively inspired reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion. (...) The proposed approach has been tested both in the task of goal-driven concept invention and has additionally applied within the context of serendipity-based recommendation systems. I will present the obtained results, the lessons learned, and the road ahead of this research path. (shrink)

In the TACITUS project for using commonsense knowledge in the understanding of texts about mechanical devices and their failures, we have been developing various commonsense theories that are needed to mediate between the way we talk about the behavior of such devices and causal models of their operation. Of central importance in this effort is the axiomatization of what might be called commonsense metaphysics. This includes a number of areas that figure in virtually every domain of (...) discourse, such as granularity, scales, time, space, material, physical objects, shape, causality, functionality, and force. Our effort has been to construct core theories of each of these areas, and then to define, or at least characterize, a large number of lexical items in terms provided by the core theories. In this paper we discuss our methodological principles and describe the key ideas in the various domains we are investigating. (shrink)

Abstract The purpose of this paper is twofold: (i) we will argue that formal semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts, namely ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of, and relations between, objects of various ontological types; and (ii) we show that accounting for these differences amounts to a new formal semantics; one that integrates lexical and (...) compositional semantics in one coherent framework and one where formal semantics is embedded with a strongly typed ontology; an ontology that reflects our commonsense knowledge of the world and the way we talk about it in ordinary language. We will show how in such a framework a number of challenges in the semantics of natural language are adequately and systematically treated. (shrink)

Commonsensism is a thesis about commonsense beliefs: our commonsense beliefs are items of knowledge (or should be so regarded) that have epistemic or methodological priority. This account of commonsensism risks making our commonsense beliefs impervious to philosophical argument. But in Santayana's commonsensism, what deserves our trust is not our commonsense beliefs but the development of common sense over successive generations. Our commonsense beliefs deserve only a secondary or subsidiary trust; we trust them only insofar (...) as we trust the momentum of common sense. I examine Santayana's distinctive form of commonsensism and explain why he avoids putting trust primarily in commonsense beliefs. (shrink)

Despite wholeheartedly endorsing Lycan's commonsensism on display in On Evidence in Philosophy, this paper raises concerns about three views Lycan defends in that book. The first view is compatibilism about free will and determinism. The paper argues that Lycan's Moorean defense of compatibilism fails and that it is plausible for commonsensists to think that, in their dispute with incompatibilists, the burden of proof is on compatibilists. The second view is Lycan's Principle of Humility, offered as an account of the conditions (...) under which recognized disagreement undermines knowledge. The paper considers a permissive and a demanding way of understanding his Principle of Humility and suggests that, contra Lycan, commonsensism fits better with a permissive understanding. The third view discussed is his coherentism about justification. The paper concludes that commonsensism is best understood in foundationalist terms and that Lycan's coherentism is, in fact, an inadequately motivated version of foundationalism. (shrink)

This article historicises a dream analytic intervention launched in the 1930s by Scottish psychiatrist and future professor of psychological medicine at the University of Glasgow, Thomas Ferguson Rodger. Intimate therapeutic meetings with five male patients are preserved within the so-called ‘dream books’, six manuscript notebooks from Rodger’s earlier career. Investigating one such case history in parallel with lecture material, this article elucidates the origins of Rodger’s adapted, rapport-centred psychotherapy, offered in his post-war National Health Service, Glasgow-based department. Oriented in a (...) reading of the revealing fourth dream book, the article unearths a history of the reception and adaptation of psychoanalysis from within a therapeutic encounter and in a non-elite context. Situating Rodger’s psychiatric development in his Glasgow environment, it then contextualises the psychosocial narrative of the fourth book in relation to contrasting therapeutic commitments: an undiluted Freudianism and a pragmatic ‘commonsense’ psychotherapy, tempered to the clinical psychiatric, and often working-class, interwar Glasgow context. An exploration of pre-recorded dreams, transcribed free associations, and ‘weekly reports’ reveals that in practice, Rodger’s Meyerian attitude worked productively with Freudian techniques to ennoble the patient’s psychosocial testimony and personal wisdom. This psychotherapeutic eclecticism underpinned and made visible the patient’s concurrent faith in and resistance to psychoanalytic interpretation. Chronicling a collaborative route to psychotherapeutic knowledge within a discrete encounter, the article situates post-war treatment values in the interwar impasse of outpatient psychiatry. (shrink)

Fifty years of effort in artificial intelligence (AI) and the formalization of legal reasoning have produced both successes and failures. Considerable success in organizing and displaying evidence and its interrelationships has been accompanied by failure to achieve the original ambition of AI as applied to law: fully automated legal decision-making. The obstacles to formalizing legal reasoning have proved to be the same ones that make the formalization of commonsense reasoning so difficult, and are most evident where legal reasoning has (...) to meld with the vast web of ordinary human knowledge of the world. Underlying many of the problems is the mismatch between the discreteness of symbol manipulation and the continuous nature of imprecise natural language, of degrees of similarity and analogy, and of probabilities. (shrink)

The essays in this volume represent an approach to human knowledge that has had a profound influence on many recent thinkers. Popper breaks with a traditional commonsense theory of knowledge that can be traced back to Aristotle. A realist and fallibilist, he argues closely and in simple language that scientific knowledge, once stated in human language, is no longer part of ourselves but a separate entity that grows through critical selection.

Commonsense reasoning is a crucial human ability employed in everyday tasks. In this talk I provide a knowledge level analysis of the main representational and reasoning problems affecting the cognitive architectures for what concerns this issue. In providing this analysis I will show, by considering some of the main cognitive architectures currently available (e.g. SOAR, ACT-R, CLARION), how one of the main problems of such architectures is represented by the fact that their knowledge representation and processing mechanisms (...) are not sufficiently constrained with insights coming from cognitive science (Lieto 2021; Lieto, Lebiere, Oltramari, 2018). As a possible way out to such knowledge processing issues, I present the main assumptions that have led to the development of the Dual PECCS categorization system (Lieto, Radicioni, Rho 2017) and discuss some of the lessons learned and their possible implications in the design of the knowledge modules and knowledge-processing mechanisms of integrated cognitive architectures. (shrink)

The essays in this volume represent an approach to human knowledge that has had a profound influence on many recent thinkers. Popper breaks with a traditional commonsense theory of knowledge that can be traced back to Aristotle. A realist and fallibilist, he argues closely and in simple language that scientific knowledge, once stated in human language, is no longer part of ourselves but a separate entity that grows through critical selection.

A popular line in philosophy championed by Jackson and his followers analyses concepts as networks of propositions. It takes even network-propositions characterizing ordinary empirically applicable concepts to be a priori, in contrast to statements of empirical science. This is meant to guarantee both the autonomy of conceptual analysis, and its substantial and informative character. It is argued here, to the contrary, that empirically applicable and entrenched concepts owe the acceptability of their own network precisely to its empirical pedigree. Promoting an (...) empirical proposition into a network proposition does not make it ultimately a priori: no matter how entrenched the network is, it owes its ultimate justification to its empirical pedigree. Autonomy from experience and informativeness clash with each other: the stipulative "knowledge" is a priori in a weak sense, but not informative and substantial, the factual knowledge is substantial but not a priori. (shrink)

This volume is a collection of original contributions about the core knowledge in fundamental domains. It includes work on naive physics, such as formal specifications of intuitive theories of spatial relations, time causality, substance and physical objects, and on naive psychology.

Although debates continue, studies of cognition in infancy suggest that knowledge begins to emerge early in life and constitutes part of humans' innate endowment. Early-developing knowledge appears to be both domain-specific and task-specific, it appears to capture fundamental constraints on ecologically important classes of entities in the child's environment, and it appears to remain central to the commonsense knowledge systems of adults.

Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this talk, we discuss the different paradigms that have been developed in AI and Computational Cognitive Science to deal with this problem (ranging from logic-based methods, to diagrammatic-based ones). In particular, we discuss - via two different case studies concerning commonsense categorization (...) and knowledge invention tasks - how cognitively inspired heuristics can help (both in terms of efficiency and efficacy) in the realization of intelligent artificial systems able to reason in a human-like fashion, with results comparable to human-level performances. (shrink)

Christian Ethics and Commonsense Morality goes against the grain of various postmodern approaches to morality in contemporary religious ethics. In this book, Jung seeks to provide a new framework in which the nature of common Christian moral beliefs and practices can be given a new meaning. He suggests that, once major philosophical assumptions behind postmodern theories of morality are called into question, we may look at Christian morality in quite a different light. On his account, Christian morality is a (...) historical morality insofar as it is rooted in the rich historical traditions of the Christian church. Yet this kind of historical dependence does not entail the evidential dependence of all moral beliefs on historical traditions. It is possible to argue for the epistemic autonomy of moral beliefs, according to which Christian and other moral beliefs can be justified independently of their historical sources. The particularity of Christian morality lies not in its particular historical sources that also function as the grounds of justification, but rather in its explanatory and motivational capacity to further articulate the kind of moral knowledge that is readily available to most human beings and to enable people to act upon their moral knowledge. (shrink)

Leading philosophers & psychologists offer an assessment of the commonsense view that perceptual experience is an immediate awareness of mind-independent objects. They examine the nature of perception, its role in the acquisition of knowledge, the role of causation in perception, & how perceptual understanding develops in humans.

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Christian Ethics and Commonsense Morality: An Intuitionist Account by Kevin JungAleksandar S. SantracChristian Ethics and Commonsense Morality: An Intuitionist Account Kevin Jung NEW YORK AND LONDON: ROUTLEDGE, 2014. 202 PP. $145.00In Christian Ethics and Commonsense Morality: An Intuitionist Account, Kevin Jung boldly constructs and defends a commonsense morality of intuition as a plausible ethical theory against both postmodern constructivist ethical systems and narrow objectivist (...) theories. Following the antifoundationalist ethical methods of postmodern approaches to reality and morality in chapter 1 and a moderate defense of realism in chapter 2, Jung attempts to save both objectivity and de-feasibility of moral realistic accounts, offering some modern reinterpretations of moral realism in chapters 3 and 4. All these forms of Wittgensteinian conceptions of realism unsatisfactorily lead to infinite regress in justifying claims because they are grounded only in the wishes, interests, and sentiments of the individual culture and society (60).After a brief introduction to the unique role of emotions in ethical theories, his investigation leads to reconciliation between objectivist naturalistic ethics [End Page 192] and theological forms of ethical theories. Theological ethicists can remain committed to intuitionism (objectivist and naturalistic forms of common morality) refined by particular religious expressions of morality (112). Intuitionism, broadly defined in chapter 7, is described as "initial appearances" (118); moral truths, according to Jung's intuitionist account, are "mediately self-evident" (128), not "immediately," because it still requires careful reflection and cognitive searching for objectivist grounds of morality. Jung's affirmation of the plausibility of intuitionism seems to be a final blow to all forms of postmodern and skeptical accounts of antifoundationalist forms of ethical theories; he successfully defends an intuitionist account of morality against its naturalist and religious critics.The last chapter offers three types of relationship between commonsense morality and Christian morality. The identity model reduces Christian morality to commonsense morality. The two-tier model considers Christian morality to be a superior form of morality with instrumental value of commonsense morality. And, finally, integration, Jung's favorite model, considers commonsense morality as neither identical nor subordinate but central to Christian morality (163). With this he affirms that Christian morality is unique not because of differences in moral beliefs but because "it is fully committed to recognizing the oneness of humanity and the universally accessible nature of basic moral truths for all human beings" (166). Jung's reflection is exceptionally insightful. Building the case as a good lawyer, he leads us to the defenseless nature of constructivist postmodern moral theories and their revisions as well as to a commitment of Christian morality to the objective commonsense morality. On this view, even heroic moral acts based on obedience to God (such as Christian sacrificial love) might be compatible with commonsense morality. It is surprising, however, that Jung never consulted or quoted Bernard Gert's account of the common morality, especially when discussing differences between moral duty and ideals (167). Additionally, Jung's argument that Christian morality is unexceptional since moral knowledge can be obtained through multiple sources in which God also reveals his will (178) does not sufficiently probe into the distinctiveness of God's sometimes radical demands of Jews/Christians (e.g., Abraham's sacrifice of Isaac), which come not from intuitionist accounts of objective natural reason or common sense but from faith. Christian saints are not heroes of general moral example but heroes of faith, a qualitatively different realm of human experience. Still, audiences interested in all aspects of ethics will greatly benefit from this superb engagement with recent discussions. [End Page 193]Aleksandar S. SantracWashington Adventist UniversityCopyright © 2017 Society of Christian Ethics... (shrink)

Reasoning over our knowledge bases and theories often requires non-deductive inferences, especially – but by no means only – when commonsense reasoning is the case, i.e. when practical agency is called for. This kind of reasoning can be adequately formalized via the notion of supraclassical consequence, a non-deductive consequence tightly associated with default and non-monotonic reasoning and featuring centrally in abductive, inductive, and probabilistic logical systems. In this paper, we analyze core concepts and problems of these systems in (...) the light of supraclassical consequence. (shrink)

I will review the main problems concerning commonsense reasoning in machines and I will present resent two different applications - namaly: the Dual PECCS linguistic categorization system and the TCL reasoning framework that have been developed to address, respectively, the problem of typicality effects and the one of commonsense compositionality, in a way that is integrated or compliant with different cognitive architectures thus extending their knowledge processing capabilities In doing so I will show how such aspects are (...) better dealt with at different levels of representation and will discuss how the adoption of a cognitively inspired approach be useful in the design and implementation of the next generation AI systems mastering commonsense. (shrink)

A. Newell and H. A. Simon were two of the most influential scientists in the emerging field of artificial intelligence (AI) in the late 1950s through to the early 1990s. This paper reviews their crucial contribution to this field, namely to symbolic AI. This contribution was constituted mostly by their quest for the implementation of general intelligence and (commonsense) knowledge in artificial thinking or reasoning artifacts, a project they shared with many other scientists but that in their case (...) was theoretically based on the idiosyncratic notions of symbol systems and the representational abilities they give rise to, in particular with respect to knowledge. While focusing on the period 1956-1982, this review cites both earlier and later literature and it attempts to make visible their potential relevance to today's greatest unifying AI challenge, to wit, the design of wholly autonomous artificial agents (a.k.a. robots) that are not only rational and ethical, but also self-conscious. (shrink)

Recently in these pages it has been argued that a relatively straightforward version of an old argument based on evolutionary biology and psychology can be employed to support the view that innate ideas are a naturalistic source of metaphysical knowledge. While sympathetic to the view that the “evolutionary argument” is pregnant with philosophical implications, I show in this paper how it needs to be developed and deployed in order to avoid serious philosophical difficulties and unnecessary complications. I sketch a (...) revised version of the evolutionary argument, place it in a new context, and show that this version in this context is not vulnerable to the standard criticisms levelled against arguments of this general type. The philosophical import of this version of the argument lies not in any metaphysical conclusions it sanctions directly, but in the support it lends to the metaphilosophy of commonsense. (shrink)

This paper presents a formal account of how to determine the discourse relations between propositions introduced in a text, and the relations between the events they describe. The distinct natural interpretations of texts with similar syntax are explained in terms of defeasible rules. These characterise the effects of causal knowledge and knowledge of language use on interpretation. Patterns of defeasible entailment that are supported by the logic in which the theory is expressed are shown to underly temporal interpretation.

It is widely believed that people are sometimes directly aware of their own psychological states and consequently better placed than others to know what the contents of those states are. This (‘commonsense’) view has been challenged by Alison Gopnik. She claims that experimental evidence from the behaviour of 3– and 4–year–old children both supports the theory theory and shows that the belief in direct and privileged knowledge of one’s own intentional states is an illusion. I argue (1) that (...) the experimental evidence is not inconsistent with the commonsense view and that Gopnik’s central thesis assumes a particularly crude perceptual account of self–knowledge to which that view is not committed, and (2) that the commonsense view is neutral as between the theory theory and other theories of mind. (shrink)

In response to the increasingly acknowledged power of metaphor upon everyday and scientific thinking, the present essay aims to revitalize the metaphoric process in commonsense psychology from the interaction view perspective. As prerequisites, a historical review of the "man-the-scientist" metaphor inherited in commonsense psychology, and a situation analysis of its dormant state are attempted. With metaphorical imagination, a holistic-paradigmatic view of personal theories is postulated on the basis of new knowledge in the philosophy and history of science, (...) namely, the Duhem - Quine (holism) thesis and Kuhn's paradigmatic perspective of scientific activities. To optimize the metaphoric process, deliberations are made on the similarities as well as the differences between the principal subject (i.e. everyday activities) and the subsidiary subject (i.e. scientific activities). It is shown that the "man-the-scientist" metaphoric process can be far-reaching and dialectic in nature, resulting in fresh perspectives for understanding both everyday and scientific activities. The focus of the present essay lies in elaborating a more sophisticated view on personal theories, and in calling for a non-reductionist approach to the investigation of commonsense psychology. (shrink)

In spite of alleged differences in purpose, descriptive and computational linguistics share many problems, due to the fact that any precise study on language needs some form of knowledge representation. This constraint is mostly apparent when interpretation of sentences takes into account elements of the so-called “context”. The parametrization of context, i.e. the explicit listing of features relevant to some intepretation task, is difficult because it requires flexible formal structures for understanding or simulating inferential behaviour, as well as a (...) large amount of information about conventional structures in the given language. This paper aims at illustrating major difficulties in these two fields, in relation with the necessity of a contextual approach. It offers a (clearly partial) enumeration of open problems inthe reperesentation of commonsense knowledge and languages-dependent structures, with some attempt to delineate future solutions. (shrink)

Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender systems (...) and affective computing). -/- The framework relies on 3 main ingredients: a non monotonic extension of standard Description Logics (allowing to reason on exceptions to inheritance in standard knowledge bases) a probabilistic extension coming from the field of logic programming (the DISPONTE semantics) a cognitive heuristics known ad HEAD-Modifier determining preference rules for the inheritance mechanisms of the novel concepts to be generated via commonsense rules. -/- We report the obtained results and the lessons learned of this research path in the context of model-based AI applications. -/- . (shrink)

Available from UMI in association with The British Library. Requires signed TDF. ;This thesis undertakes two interrelated projects. The first is to give an account of the epistemology of testimony. However, as is argued, this cannot be done properly except as an application of a general philosophical account of knowledge. For this reason a partial sketch of such a general account is offered, as a necessary part of the completion of the first project. A complementary second project is also (...) adopted. This is the development of a distinctive account of knowledge as justified belief which provides a philosophical defence for the justification requirements on belief of common sense. ;The main distinctive feature of the account of knowledge proposed is the general type of justifications for belief which are argued to be adequate. These are the types of justifications which are commonly given in everyday life. Thus it is a 'common sense' justification theory, in this sense. ;It is so also in a second sense: the process of certifying these everyday justifications as adequate is made using the postulates of the 'commonsense' background metaphysic or conception of the world which all human subjects share. The central epistemological theses a partial defence of which is offered are that firstly, justifications for belief which are 'commonsense' in the first sense are so also in the second sense; secondly, that such justifications for a subject's beliefs are both adequate, and typically available to him. Thus the thesis argues for the view that knowledge, conceived as justified belief, is Attainable and indeed Abundant. ;Specific accounts are offered of the justifications of this general type which are associated with seeing and testimony. These two ways of acquiring beliefs are compared, and disanalogies are found between them which are argued to show a disanalogy in their epistemology. (shrink)

In this work we present an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework (i.e. the TCL logic, see Lieto & Pozzato 2020) which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base (see also Lieto et al. 2019, Chiodino et al. 2020 for other applications). In particular, in order to model human-like forms (...) of concept combinations, the TCL logic combines a probabilistic description logics of typicality with the HEAD-MODIFIER heuristics coming from cognitive semantics. In the context of our application of such framework, our system exploits the logic TCL to automatically generate novel commonsense semantic representations of compound emotions (e.g. Love as derived from the combination of Joy and Trust according to Plutchik’s theory of emotions, see Plutchik 2001). The generated emotions corresponds to prototypes, i.e. commonsense representations of given concepts, and have been used to reclassify emotion-related contents in a variety of artistic domains. We have tested our system in the context of the H2020 EU project SPICE for providing artistic recommendations of museum items in the Galleria di Arte Moderna (GAM) of Turin. The obtained results (reported in Lieto et al, 2021 and Lieto at al., to appear) show promising results for what concerns both the acceptance of the provided affective recommendation and the explainability associated to each suggestion made by the users. Here we discuss, the open problems and the lessons learned. -/- . (shrink)

It has recently been argued that a sensitivity theory of knowledge cannot account for intuitively appealing instances of higher-order knowledge. In this paper, we argue that it can once careful attention is paid to the methods or processes by which we typically form higher-order beliefs. We base our argument on what we take to be a well-motivated and commonsensical view on how higher-order knowledge is typically acquired, and we show how higher-order knowledge is possible in a (...) sensitivity theory once this view is adopted. (shrink)

Commonsense epistemology regards perceptual experience as a distinctive source of knowledge of the world around us, unavailable in ‘blindsight’. This is often interpreted in terms of the idea that perceptual experience, through its representational content, provides us with justifying reasons for beliefs about the world around us. I argue that this analysis distorts the explanatory link between perceptual experience and knowledge, as we ordinarily conceive it. I propose an alternative analysis, on which representational content plays no explanatory (...) role: we make perceptual knowledge intelligible by appeal to experienced objects and features. I also present an account of how the commonsense scheme, thus interpreted, is to be defended: not by tracing the role of experience to its contribution in meeting some general condition on propositional knowledge (such as justification), but by subverting the assumption that it has to be possible to make the role of experience intelligible in terms of some such contribution. (shrink)

A 3rd person Knowledge Level analysis of cognitive architectures -/- Abstract I provide a knowledge level analysis of the main representational and reasoning problems affecting the cognitive architectures for what concerns this issue. In providing this analysis I will show, by considering some of the main cognitive architectures currently available (e.g. SOAR, ACT-R, CLARION), how one of the main problems of such architectures is represented by the fact that their knowledge representation and processing mechanisms are not sufficiently (...) constrained with “structural insights” (Lieto 2021) coming from cognitive science for dealing with commonsense knowledge and reasoning (Lebiere, Oltramari, 2018). As a possible way out to such knowledge processing issues, I present the main assumptions that have led to the development of the Dual PECCS categorization system (Lieto, Radicioni, Rho 2017) and discuss some of the lessons learned and their possible implications in the design of the knowledge modules and knowledge-processing mechanisms of integrated cognitive architectures. (shrink)

Legal Judgment Prediction (LJP) is an essential component of legal assistant systems, which aims to automatically predict judgment results from a given criminal fact description. As a vital subtask of LJP, researchers have paid little attention to the numerical LJP, i.e., the prediction of imprisonment and penalty. Existing methods ignore numerical information in the criminal facts, making their performances far from satisfactory. For instance, the amount of theft varies, as do the prison terms and penalties. The major challenge is how (...) the model can obtain the ability of numerical comparison and magnitude perception, e.g., 400 < 500 < 800, 500 is closer to 400 than to 800. To this end, we propose a judicial knowledge-enhanced magnitude-aware reasoning architecture, called NumLJP, for the numerical LJP task. Specifically, we first implement a contrastive learning-based judicial knowledge selector to distinguish confusing criminal cases efficiently. Unlike previous approaches that employ the law article as external knowledge, judicial knowledge is a quantitative guideline in real scenarios. It contains many numerals (called anchors) that can construct a reference frame. Then we design a masked numeral prediction task to help the model remember these anchors to acquire legal numerical commonsense from the selected judicial knowledge. We construct a scale-based numerical graph using the anchors and numerals in facts to perform magnitude-aware numerical reasoning. Finally, the representations of fact description, judicial knowledge, and numerals are fused to make decisions. We conduct extensive experiments on three real-world datasets and select several competitive baselines. The results demonstrate that the macro-F1 of NumLJP improves by at least 9.53% and 11.57% on the prediction of penalty and imprisonment, respectively. (shrink)

In this paper, we focus on contexts where the primary activity is to expound knowledge about general classes of phenomena, either by categorizing and characterizing them or by explaining them based on some theory, ranging from a commonsense folk theory to an uncommonsense scientific theory. Texts produced in such contexts include science lectures, research articles, and entries in encyclopedias. We focus on explanations, considering them across strata in terms of context, semantics, and lexicogrammar, and summarizing contributions from different (...) research strands. Against this background, we report on a study of the registers used in secondary school chemistry textbooks in Hong Kong. We begin by summarizing a framework for classifying the contexts in which texts operate – a framework designed to allow us to differentiate different kinds of text according to the contexts they operate in. Then, we focus on one type of context – that of expounding knowledge about general classes of phenomena. Next, we identify different strategies of expounding knowledge, contrasting explanations and categorizations, and then discuss explanations in more detail. Finally, we move to the question of how these contextual types are realized semantically as texts organized as rhetorical complexes, drawing on secondary school textbooks in chemistry in particular. (shrink)

In today’s America the persistence of crushing poverty in the midst of staggering affluence no longer incites the righteous jeremiads it once did. Resigned acceptance of this paradox is fueled by a sense that poverty lies beyond the moral and technical scope of government remediation. The failure of experts to reach agreement on the causes of poverty merely exacerbates our despair. Are the causes internal to the poor – reflecting their more or less voluntary choices? Or do they emanate from (...) structures beyond their control? If both of these explanations are true, poverty experts will need to shift their focus to a hitherto under-theorized concept: coercion. I defend this claim by appealing to distinct areas of philosophical inquiry: social epistemology and moral theory. Poverty knowledge is directly related to both of these inquiries. The aim of poverty knowledge is clearly moral: to reduce suffering and to empower the weak. While the former aim is grounded in utilitarian thinking, the latter aim is grounded in the social contractarian insight that poverty is unjustly coercive, imposing excessive limits on the opportunities and choices of the poor that render them vulnerable to domination by others. Equally obvious is the social nature of poverty knowledge. All knowledge depends on the reliable testimony of others. Poverty knowledge not only ostensibly offers us the most reliable, scientific beliefs about the causes and effects of poverty, thereby determining how we morally judge the poor and their poverty, but it reciprocally bases its understanding of poverty on what the poor themselves have to say about it. What unites both social epistemology and moral theory – at least the social contract variants I will be examining here – is concern about the limits and possibilities of rational choice. As poverty knowledge came of age in the fifties and sixties, it absorbed the language of rational choice prevalent in economics, especially the Keynesian economics whose moral underpinnings can be found in Rawlsian social contract theory. Echoing a different economic theory supported by a different, more libertarian, brand of social contract theory, poverty expertise in the eighties continued to use an abstract model of rational choice. I submit that, in both early and later epochs of poverty expertise, reliance on rational choice reasoning prevented poverty experts from appreciating the coercive impact of poverty on the poor. Social epistemology explains this failure by demonstrating the poverty of rational choice thinking and its mistaken reliance on inflated commonsense expectations about the capacity of individuals to calculate their long-term interests, free from the distortions of social bias. Social epistemology not only exhibits the dangers of not relying on expert testimony, but it also exhibits the dangers of relying on an unreliable source of expert testimony that has removed itself from its human subject matter. In order for poverty experts to become more reliable educators about poverty’s coercive impact on the poor they must return to their discipline’s social epistemological roots. Only a more descriptive and explanatory sociology can narrate a comprehensive story about how the lived experience of poverty relates to the larger social system. The social contractarian model best suited to underwriting this kind of poverty knowledge, I submit, is the discourse theoretic model that has been championed by Jürgen Habermas. When applied as a pedagogical method of dialog and not as a social contractarian model of rational normative consent, discourse theory highlights the unique epistemological advantages of empathetic understanding that are so essential to dispelling stereotypes about the poor. Dispelling these stereotypes is the first step toward respecting the poor as free agents who are nonetheless forced to make suboptimal choices. My defense of these claims proceeds as follows: Part One argues that poverty expertise rightly deserves the opprobrium critics have heaped on it. The charge – leveled by progressives and conservatives alike - that such expertise is ideological is true to the extent that poverty knowledge has all-too-easily accommodated the political aims of the agency that has funded it: the federal government. The shift from the war on poverty to the war on the poor – and the resulting shift from blaming poverty on economic structures to blaming it on the culture of poverty – would not have been possible without an increased emphasis on data gathering aimed at measuring poverty rather than describing it. Part Two assesses the consequences of turning away from qualitative research to statistical analysis: the coercive nature of poverty becomes invisible beneath the surface of aggregate individual choices. The failure to grasp how voluntary choices, ostensibly based on rational, self-interested calculations, can be coerced by social structures - and thereby lead to sub-optimizing behavior – invites the conclusion that the poor have only themselves to blame for their misery. Part Three suggests that this pathologization of the poor directly controverts the major aim of poverty research: to empower the poor as free and equal parties to the social contract. I argue that the different varieties of social contract theory that have justified poverty expertise over the last forty years – the welfarist model pioneered by Rawls and the market-based model defended by Nozick – embrace the same rational choice models favored by poverty experts and so conspire with the latter in neglecting important dimensions of poverty-related coercion. While the welfarist model conceals the coercive nature of bureaucratically administered entitlement programs and top-down urban renewal policies, the market-based model conceals the coercive nature of economic class structures. The discourse-theoretic alternative proposed by Habermas endorses a populist, democratic response to the overly abstract rational choice assumptions embedded in these other models. Despite this advance over its counterparts, the chief advantage of discourse theory for poverty knowledge, I submit, resides less in its proposed procedure of rational collective choice than in its heuristic as a dialogical method of social learning. I demonstrate this claim in Part Four, where I turn to the social epistemological insights of Allen Buchanan. Social epistemology offers a much needed corrective to theories of knowledge that rely on the reasoning capacities of isolated individuals. By stressing the connection between moral response and social belief, on one hand, and the dependence of social belief on epistemic authorities, on the other, social epistemologists suggest ways in which we can learn to distinguish reliable from unreliable authorities and become aware of our own error-prone cognitive proclivities. Their insights need to be supplemented by moral epistemologists who stress the affective dimension of knowledge, above all, the role that empathy plays in understanding the plight of others. Drawing from victim narratives, Diana Meyers shows that switching between first-person experiences of one's own and third-person reconstructions of others' experiences is essential to appreciating the gravity of human rights violations and the seriousness of human rights claims. It goes without saying that such empathy is just as essential to understanding the plight of the poor. Meyers mainly has in mind empathetic understanding that has been facilitated by third-person observation and literary encounter, but the importance of visceral and corporeal representation suggests that face-to-face dialog may sometimes be a more effective way to facilitate empathetic understanding. (shrink)