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)

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)

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)

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)

Invited Lecture at the SRM ACM Student Chapter, India, on Cognitive Heuristics for Commonsense Thinking and Reasoning in the next generation Artificial Intelligence. The lecture proposes a historical and technical overview of strategies for commonsense reasoning in AI.

This work describes 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 will present two different applications - Dual PECCS and the TCL reasoning framework - addressing some crucial aspects of commonsense reasoning (namely: dealing with typicality effects and with the problem of commonsense compositionality) in a way that is integrated or compliant with different cognitive architectures. In doing so I will show how such aspects are better dealt with at different levels of representation and will discuss the adopted solution to integrate such representational layers.

In this book the author gives a broad overview of different areas of research in nonmonotonic reasoning, and presents some new results and ideas based on his research. The guiding principles are: clarification of the different research activities in the area, which have sometimes been undertaken independently of each other; and appreciation of the fact that these research activities often represent different means to the same ends, namely sound theoretical foundations and efficient computation. The book begins with a discussion (...) of the various types of nonmonotonic reasoning, their applications and their logics. Theorem proving techniques for these logics are also described. The following chapters deal with formulations of nonmonotonic inheritance, and nonmonotonic reasoning based on nonmonotonic rules. The final chapter discusses the achievements in the field in the light of the Yale shooting example. The book will be welcomed by researchers in theoretical computer science and artificial intelligence. (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)

I accomplish two things in this paper. I explain the motivation for including experimental research in philosophical projects on epistemic reasons and the basing relation. And I present the first experimental contributions to these projects. The results from two experiments advance our understanding of the ordinary concepts of reasons and basing and set the stage for further research on the topics. More specifically, the results support a causal theory of the basing relation, according to which reasons are causes, and a (...) dualist theory of epistemic reasons, according to which reasons include both psychological and non-psychological items. (shrink)

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 (...) class='Hi'>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)

Commonsense Consequentialism is a book about morality, rationality, and the interconnections between the two. In it, Douglas W. Portmore defends a version of consequentialism that both comports with our commonsense moral intuitions and shares with other consequentialist theories the same compelling teleological conception of practical reasons. Broadly construed, consequentialism is the view that an act's deontic status is determined by how its outcome ranks relative to those of the available alternatives on some evaluative ranking. Portmore argues that outcomes (...) should be ranked, not according to their impersonal value, but according to how much reason the relevant agent has to desire that each outcome obtains and that, when outcomes are ranked in this way, we arrive at a version of consequentialism that can better account for our commonsense moral intuitions than even many forms of deontology can. What's more, Portmore argues that we should accept this version of consequentialism, because we should accept both that an agent can be morally required to do only what she has most reason to do and that what she has most reason to do is to perform the act that would produce the outcome that she has most reason to want to obtain.Although the primary aim of the book is to defend a particular moral theory, Portmore defends this theory as part of a coherent whole concerning our commonsense views about the nature and substance of both morality and rationality. Thus, it will be of interest not only to those working on consequentialism and other areas of normative ethics, but also to those working in metaethics. Beyond offering an account of morality, Portmore offers accounts of practical reasons, practical rationality, and the objective/subjective obligation distinction. (shrink)

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)

Syllogism is a type of everyday reasoning. For instance, given that ‘Avicenna wrote the famous book the Canon of Medicine’ and ‘The Canon of Medicine has influenced modern medicine,’ it can be conc...

There seem to be many kinds of moral duties. We should keep our promises; we should pay our debts of gratitude; we should compensate those we’ve wronged; we should avoid doing or intending harm; we should help those in need. These constitute, some worry, an unconnected heap of duties: the realm of commonsense morality is a disorganized mess. In this paper, we outline a strategy for unifying commonsense moral duties. We argue that they can be understood in terms (...) of contact with value. You are in contact with a value when you are manifest in it or when it is manifest in you. You have reason to get in contact with the good and avoid contact with evil. And when you’re in contact with a value, the weight of the reasons it grounds are amplified for you. These ideas, we argue, can bring order to the chaos of commonsense morality. (shrink)

Trent Dougherty argues (contra Jonathan Matheson) that when taking into consideration the probabilities involving skeptical theism (ST) and gratuitous evils, an agent may reasonably affirm both ST and that gratuitous evils exist. In other words, Dougherty thinks that assigning a greater than .5 probability to ST is insufficient to defeat the commonsense problem of evil. I argue that Dougherty’s response assumes, incorrectly, that ST functions solely as an evidential defeater, and that, when understood as a closure of inquiry defeater, (...) ST may still defeat reasonable belief in gratuitous evils, even in the face of strong evidence that gratuitous evils exist. (shrink)

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)

In this paper, we present an approach to commonsense causal explanation of stories that can be used for automatically determining the liable party in legal case descriptions. The approach is based on, a core ontology for law that takes a commonsense perspective. Aside from our thesis that in the legal domain many terms still have a strong commonsense flavour, the descriptions of events in legal cases, as e.g. presented at judicial trials, are cast in commonsense terms (...) as well. We present design principles for representing commonsense causation, and describe a process-based approach to automatic identification of causal relations in stories, which are described in terms of the core ontology. The resulting causal explanation forms a necessary condition for determining the liability and responsibility of agents that play a role in the case. We describe the basic architecture and working of, the demonstrator we are constructing to test the validity of our process oriented view on commonsense causation. This view holds that causal relations are in fact abstractions constructed on the basis of our commonsense understanding of physical and mental processes. (shrink)

We present an axiomatization of a problem in commonsense reasoning, characterizing the proper procedure for cracking an egg and transferring its contents to a bowl. The axiomatization is mid-sized, larger than toy problems such as the Yale Shooting Problem or the Suitcase Problem, but much smaller than the comprehensive axiomatizations associated with CYC and HPKB. This size of axiomatization permits the development of non-trivial, reusable core theories of commonsense reasoning, acts as a testbed for existing theories (...) of commonsense reasoning, and encourages the discovery of new problems in commonsense reasoning.We present portions of core theories of containment, falling, and pouring, integrated into Shanahan's circumscriptive event calculus, and show how these can serve as the basis of an axiomatization that partly characterizes egg cracking. We discuss several commonsense reasoning problems encountered during this research, such as the Initial Specification Problem (a relative of the frame problem that occurs in theories in which fluents can trigger actions), and the Unobtainable State Problem (the problem of determining whether or not a theorem stating that one cannot get from one state to another is meaningful). (shrink)

This work locates the historical and conceptual foundations of cognitive science in the "commonsense" psychology of the philosopher Thomas Reid. I begin with Reid's attack on his rationalist and empiricist competitors of the 17th and 18th centuries. I then present his positive theory as a sophisticated faculty psychology appealing to innateness of mental structure. Reidian psychological faculties are equally trustworthy, causally independent mental powers, and I argue that they share nine distinct properties. This distinguishes Reidian 'intentionalism' from idealist 'representationalism,' (...) which derive cognitive content either from the inherited structure of faculties of from the occurrent structure of sensory activity. ;Next, I turn to consciousness and reflection for a contemporary Reidian response to traditional phenomenology. Unlike reflection, faculties of reason and remembrance are not causally mediated by consciousness. My interpretation of Reid is that 'Humean causation' of individual faculty structure accounts only for 'natural intentionality,' while 'efficient causation' of faculty interrelations accounts for cognitive 'personal intentionality.' ;I then proceed by adopting a form of computational description for reconstructing this view as a computational theory of mind. I contrast functional analyses in explanations of some capacities with computational and componential analyses in explanations of other, intentional capacities, in which some processes must be taken to semantically encode and govern the roles of others. This step reconstructs the Reidian notion of intentional operations as requiring an explanation of component faculties and their representation-governed interactions. I argue that properties of faculties delimiting these interactions under Reid's theory parallel those in Fodor's essay on the "modularity of mind," although the reasons given for individual criteria are often very different. Fodor also proposes a trichotomous mental structure, but I find that a third level of "central systems" is a myth engendered by causal information theory. Such an analysis cannot capture generalizations over the internal representation of semantic roles that determines the character of faculty relations. This requirement for any computational account of cognition is precisely the motivation for the reconstructed Reidian theory. Thus, it comports more favorably with the explanatory program constitutive of a computational cognitive science. (shrink)

I aim to sketch a view of a methodology for metaphysics, suggested by Hookway’s reading of C. S. Peirce, that allows one to hold realist metaphysical views (i.e. ones that avoid anti-realism, or idealism) about some questions, but avoids merely verbal disputes, and ‘unwieldy realism’. It is named for Peirce’s ‘Critical Commonsensism’, and uses pragmatic transcendental arguments to defend realism about non-optional basic commitments, e.g. to generality, agency, normativity, modality, change, concrete substances, and other minds. It is critical because we (...) are entitled to hope that the presuppositions of our most basic non-optional commitments obtain, and commonsensical because we begin with our current practices and proceed with anti-sceptical fallibilism. I consider a number of objections to the proposed methodology, including concerns associated with our identification of presuppositions, with the basic non-optional commitments they are presuppositions of, and the community who are so committed. These questions, I will claim, are open to empirical and anthropological investigation, but can begin with careful observation of human practices of action, inquiry, explanation, and justification. I will defend the view we end up with as realist, rather than anti-realist or quasi-realist, and argue that, given holism of confirmation, we are plausibly justified in believing (rather than merely hoping) a number of metaphysical theses that have stood the test of time. (shrink)

Introduction -- Defending a socio-biological account of morality -- Non-objectivist evolutionary ethics -- Recent objectivist approaches to evolutionary ethics -- Sketch of an Aristotelian evolutionary ethics -- Evolutionary biology and the moral status of animals -- Faith, reason, and evolutionary epistemology -- Psychological egoism and evolutionary biology -- Evolution and free will : darwinian non-naturalism defended -- Recent developments in philosophy of evolution.

The success of set theory as a foundation for mathematics inspires its use in artificial intelligence, particularly in commonsense reasoning. In this survey, we briefly review classical set theory from an AI perspective, and then consider alternative set theories. Desirable properties of a possible commonsense set theory are investigated, treating different aspects like cumulative hierarchy, self-reference, cardinality, etc. Assorted examples from the ground-breaking research on the subject are also given.

We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of the (...) form p :: T(C) v D, whose intuitive meaning is that “we believe with degree p about the fact that typical Cs are Ds”. As in the distributed semantics, we define different scenarios containing only some typicality inclusions, each one having a suitable probability. We then exploit such scenarios in order to ascribe typical properties to a concept C obtained as the combination of two prototypical concepts. We also show that reasoning in the proposed Description Logic is EXPTIME-complete as for the underlying standard Description Logic ALC. (shrink)

This article begins with an introduction to defeasible (nonmonotonic) reasoning and a brief description of a computer program, EVID, which can perform such reasoning. I then explain, and illustrate with examples, how this program can be applied in computational representations of ordinary dialogic argumentation. The program represents the beliefs and doubts of the dialoguers, and uses these propositional attitudes, which can include commonsense defeasible inference rules, to infer various changing conclusions as a dialogue progresses. It is proposed (...) that computational representations of this kind are a useful tool in the analysis of dialogic argumentation, and, in particular, demonstrate the important role of defeasible reasoning in everyday arguments using commonsense reasoning. (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)

In this paper we present a framework for the dynamic and automatic generation of novel knowledge obtained through a process of commonsense reasoning based on typicality-based concept combination. We exploit a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts in order to generate new prototypical concepts and deal with problem like the PET FISH (Osherson and Smith, 1981; Lieto & Pozzato, 2019). Intuitively, in the context of our application of this (...) logic, the overall pipeline of our system works as follows: given a goal expressed as a set of properties, if the knowledge base does not contain a concept able to fulfill all these properties, then our system looks for two concepts to recombine in order to extend the original knowledge based satisfy the goal. (shrink)

Nonmonotonic reasoning in its broadest sense is reasoning to conclusions on the basis of incomplete information. Given more information, previously drawn inferences may be retracted. Commonsense reasoning has a nonmonotonic component; it has been argued that almost all commonsense inferences are of this sort. From the end of the 1980s to the present there has been an explosion in research in nonmonotonic reasoning. It is now possible to understand more clearly the properties of the (...) major formalisms from a metatheoretical point of view, the relationships among the formalisms and their connection to independently developed proof methods. The goal of this monograph is to make this understanding more accessible. (shrink)

Ask nearly any analytic philosopher of mind how we understand intentional actions performed for reasons and you are bound to be told that we do so by deploying mental concepts, such as beliefs and desires, in systematic ways. This way of making sense of actions is known as commonsense or folk psychology (or CSP or FP for short). There have been many interesting debates about CSP over the years. These have focused on questions including: How fundamental and universal is (...) this practice? Which species engage in it? What mechanisms underwrite the competence? How is the ability acquired? And, what exactly is its status (e.g. is it a kind of theory or simulative ability? If it's a theory, is it a good theory, etc.)? Philosophers divide in their responses to such questions, but practically all of them agree that CSP is at least a prominent and important part of our everyday understanding and that it grounds at least some very important social practices. (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.

For a symposium on Douglas W. Portmore's Commonsense Consequentialism: Wherein Morality Meets Rationality.

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)

This paper investigates an alternative set theory (due to Peter Aczel) called Hyperset Theory. Aczel uses a graphical representation for sets and thereby allows the representation of non-well-founded sets. A program, called HYPERSOLVER, which can solve systems of equations defined in terms of sets in the universe of this new theory is presented. This may be a useful tool for commonsense reasoning.

Humans have used arguments for defending or refuting statements long before the creation of logic as a specialized discipline. This can be interpreted as the fact that an intuitive notion of “logical consequence” or a psychic disposition to articulate reasoning according to this pattern is present in common sense, and logic simply aims at describing and codifying the features of this spontaneous capacity of human reason. It is well known, however, that several arguments easily accepted by common sense are (...) actually “logical fallacies”, and this indicates that logic is not just a descriptive, but also a prescriptive or normative enterprise, in which the notion of logical consequence is defined in a precise way and then certain rules are established in order to maintain the discourse in keeping with this notion. Yet in the justification of the correctness and adequacy of these rules commonsense reasoning must necessarily be used, and in such a way its foundational role is recognized. Moreover, it remains also true that several branches and forms of logic have been elaborated precisely in order to reflect the structural features of correct argument used in different fields of human reasoning and yet insufficiently mirrored by the most familiar logical formalisms. (shrink)

This article reviews David Strauss's recent book,The Living Constitution. The thesis of Strauss's book is that constitutional law is a kind of common law, based largely on judicial precedent and commonsense judgments about what works and what is fair. In defending this claim, Strauss argues that central constitutional prohibitions of discrimination and protections of free speech have a common-law basis and that the originalist should consequently reject them. The review disputes this contention. It examines Strauss's account of the common (...) law and argues that it cannot support our First Amendment protections of subversive advocacy, as Strauss says it does. The review then offers an alternative account of the common law based on the “classical” common-law theory associated with Coke and Hale. The latter account does support our protections of subversive advocacy but is much less appealing to those distrustful of ambitious and large-scale judicial action. (shrink)

The concept of intentional action occupies a central place in commonsense or folk psychological thought. This paper describes two psychological experiments designed by the author and Joshua Knobe. The experiments investigate further some questions that arose from Knobe's work on responsibility and intentionality beliefs in folk psychology. They show that there is reason to doubt that subjects' beliefs about the intentionality of side effects are simply a product of their beliefs about the agent's responsibility for these effects. The author (...) also considers how the experimental results bear on Knobe's most recent views about the relation of subjects' value judgments about side effects and their intentionality judgments. What the experimental results suggest is that subjects do not simply use either their belief that a side effect is bad, or that the agent is responsible for it, to determine their view about the intentionality of its production. 2012 APA, all rights reserved). (shrink)