A taxonomy of part‐whole or meronymic relations is developed to explain the ordinary English‐speaker's use of the term “part of” and its cognates. The resulting classification yields six types of meronymic relations: 1. component‐integral object (pedal‐bike), 2. member‐collection (ship‐fleet), 3. portion‐mass (slice‐pie), 4. stuff‐object (steel‐car), 5. feature‐activity (paying‐shopping), and 6. place‐area (Everglades‐Florida). Meronymic relations ore further distinguished from other inclusion relations, such as spatial inclusion, and class inclusion, and from several other semantic relations: attribution, attachment, and ownership. This taxonomy is (...) then used to explain cases of apparent intransitivity in merological syllogisms, and standard form syllogisms whose premises express different inclusion relations. The data suggest that intransitivities arise due to equivocations between different types of semantic relations. These results are then explained by means of the relation element theory which accounts for the character and behavior of semantic relations in terms of more primitive relational elements. The inferential phenomena observed are then explained by means of a single principle of element matching. (shrink)

This article describes the use of continuous vector space models for reasoning with a formal knowledge base. The practical significance of these models is that they support fast, approximate but robust inference and hypothesis generation, which is complementary to the slow, exact, but sometimes brittle behaviour of more traditional deduction engines such as theorem provers.The article explains the way logical connectives can be used in semantic vector models, and summarizes the development of Predication-based Semantic Indexing, which involves the use of (...) Vector Symbolic Architectures to represent the concepts and relationships from a knowledge base of subject-predicate-object triples. Experiments show that the use of continuous models for formal reasoning is not only possible, but already demonstrably effective for some recognized informatics tasks, and showing promise in other traditional problem areas. Examples described in this article include: predicting new uses for existing drugs in biomedical informatics; removing unwanted meanings from search results in information retrieval and concept navigation; type inference from attributes; comparing words based on their orthography; and representing tabular data, including modelling numerical values.The algorithms and techniques described in this article are all publicly released and freely available in the Semantic Vectors open-source software package.1. (shrink)

ABSTRACT In this paper, I shall explore the relationship between the control required for action and the control required for moral responsibility. I shall argue that there is an incongruity between Frankfurt’s account of guidance control presented in his theory of action and his commitment to the claim that alternative possibilities are not required for moral responsibility. This inconsistency centres around the role of abilities to do otherwise in our analyses of action and moral responsibility. After outlining the problem for (...) Frankfurt, I shall then motivate one way of resolving this tension. This solution provides a unified role for abilities to do otherwise in our analyses of control. (shrink)

Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category‐denoting nouns, such as “city” for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as “Barcelona,” “Mumbai,” and “Wuhan” for the category city. This name‐based representation empirically outperforms the noun‐based representation on two experiments (modeling human judgments of category relatedness and predicting category membership) with particular improvements for ambiguous nouns. We (...) discuss the model complexity of both classes of models and argue that the name‐based model has superior explanatory potential with regard to concept acquisition. (shrink)

We present an approach to combining three areas of research which we claim are all based on information theory: knowledge representation in Artificial Intelligence and Cognitive Science using prototypes, plans, or schemata; formal semantics in natural language, especially the semantics of the `if-then' conditional construct; and the logic of subjunctive conditionals first developed using a possible worlds semantics by Stalnaker and Lewis. The basic premise of the paper is that both schema-based inference and the semantics of conditionals are based on (...) Dretske's notion of information flow and Barwise and Perry's notion of a constraint in situation semantics. That is, the connection between antecedent and consequent of a conditional `if were the case then would be the case' is an informational relation holding with respect to a pragmatically determined utterance situation. The bridge between AI and conditional logic is that a prototype or planning schema represents a situation type, and the background assumptions underlying the application of a schema in a situation correspond to channel conditions on the flow of information. Adapting the work of Stalnaker and Lewis, the semantics of conditionals is modeled by a refinement ordering on situations: a conditional `if then ' holds with respect to a situation if all the minimal refinements of the situation that support also support . We present new logics of situations, information flow, and subjunctive conditionals based on three-valued partial logic that formalizes our approach, and conclude with a discussion of the resulting theory of conditionals, including the "paradoxes" of conditional implication, the difference between truth conditions and assertability conditions for subjunctive conditionals, and the relationship between subjunctive and indicative conditionals. (shrink)

We present an account of semantics that is not construed as a mapping of language to the world but rather as a mapping between individual meaning spaces. The meanings of linguistic entities are established via a “meeting of minds.” The concepts in the minds of communicating individuals are modeled as convex regions in conceptual spaces. We outline a mathematical framework, based on fixpoints in continuous mappings between conceptual spaces, that can be used to model such a semantics. If concepts are (...) convex, it will in general be possible for interactors to agree on joint meaning even if they start out from different representational spaces. Language is discrete, while mental representations tend to be continuous—posing a seeming paradox. We show that the convexity assumption allows us to address this problem. Using examples, we further show that our approach helps explain the semantic processes involved in the composition of expressions. (shrink)

ABB words in Chinese, e.g., hēi-qīqī ‘pitch black’, have been studied for a long time. Most traditional studies analyze these words through derivational rules involving empty suffixes. However, this is problematic, as they are better seen as compounds involving a prosaic A and an ideophonic BB part. By treating ABB as a schema sanctioned by collocate–ideophonic constructions, it is possible to investigate other similar patterns. A corpus study (more than 5,000 tokens) revealed that on the level of schemas, ABB truly (...) acts as a prototype of such constructions, but that it is far from the only pattern to be identified. A second corpus-based study on the level of exemplars showed there are different pockets of salience and non-uniformity in the data from four angles: cue validity, frequency, dispersion, and constructional preference. This paper provides evidence that the traditional ABB narrative needs to be complemented with usage-based data, and grapple with the lexical salience effects this brings along for words involving iconicity. (shrink)

In this paper we argue that an existing theory of concepts called dynamic frame theory, although not developed with that purpose in mind, allows for the precise formulation of a number of problems associated with induction from a single instance. A key role is played by the distinction we introduce between complete and incomplete dynamic frames, for incomplete frames seem to be very elegant candidates for the format of the background knowledge used in induction from a single instance. Furthermore, we (...) show how dynamic frame theory provides the terminology to discuss the justification and the fallibility of incomplete frames. In the Appendix, we give a formal account of incomplete frames and the way these lead to induction from a single instance. (shrink)

The main focus of this paper is to develop an adaptive formal apparatus capable of capturing (certain types of) reasoning conducted within the framework of the so-called dynamic conceptual frames. I first explain one of the most recent theories of concepts developed by cognitivists, in which a crucial part is played by the notion of a dynamic frame. Next, I describe how a dynamic frame may be captured by a finite set of first-order formulas and how a formalized adaptive framework (...) for reasoning within a dynamic frame can be developed. (shrink)

How is linguistic communication possible? How do we come to share the same meanings of words and utterances? One classical position holds that human beings share a transcendental “platonic” ideality independent of individual cognition and language use (Frege 1948). Another stresses immanent linguistic relations (Saussure 1959), and yet another basic embodied structures as the ground for invariant aspects of meaning (Lakoff and Johnson 1999). Here we propose an alternative account in which the possibility for sharing meaning is motivated by four (...) sources of structural stability: 1) the physical constraints and affordances of our surrounding material environment, 2) biological constraints of our human bodies, 3) social normative constraints of culture and society, and 4) the local history of social interactions. These structures and constraints interact in dynamical ways in actual language usage situations: local dialogical and social dynamics motivate and stabilize the profiling of a conceptual space already highly structured by our shared biology, culture, and environment. We will substantiate this perspective with reference to recent studies in experimental pragmatics and semiotics in which participants interact linguistically to solve cooperative tasks. Three main cases will be considered: The dynamic grounding of linguistic categories, the construction of conceptual models to relate entities in a scene, and the construction of shared conceptual scales for assessing and appraising subjective experiences. (shrink)

Researchers have debated whether there is a relationship between a statement’s truth-value and whether it counts as a lie. One view is that a statement being objectively false is essential to whether it counts as a lie; the opposing view is that a statement’s objective truth-value is inessential to whether it counts as a lie. We report five behavioral experiments that use a novel range of behavioral measures to address this issue. In each case, we found evidence of a relationship. (...) A statement’s truth-value affects how quickly people judge whether it is a lie. When people consider the matter carefully and are told that they might need to justify their answer, they are more likely to categorize a statement as a lie when it is false than when it is true. When given options that inhibit perspective-taking, people tend to not categorize deceptively motivated statements as lies when they are true, even though they still categorize them as lies when they are false. Categorizing a speaker as “lying” leads people to strongly infer that the speaker’s statement is false. People are more likely to spontaneously categorize a statement as a lie when it is false than when it is true. We discuss four different interpretations of relevant findings to date. At present, the best supported interpretation might be that the ordinary lying concept is a prototype concept, with falsity being a centrally important element of the prototypical lie. (shrink)

Moral particularism, on some interpretations, is committed to a shapeless thesis: the moral is shapeless with respect to the natural. (Call this version of moral particularism ‘shapeless moral particularism’). In more detail, the shapeless thesis is that the actions a moral concept or predicate can be correctly applied to have no natural commonality (or shape) amongst them. Jackson et al. (Ethical particularism and patterns, Oxford University Press, Oxford, 2000) argue, however, that the shapeless thesis violates the platitude ‘predication supervenes on (...) nature’—predicates or concepts apply because of how things are, and therefore ought to be rejected. I defend shapeless moral particularism by arguing that Jackson et al’s contention is less compelling than it firstly appears. My defense is limited in the sense that it does not prove shapeless moral particularism to be right and it leaves open the possibility that shapeless moral particularism might attract criticisms different from the ones advanced by Jackson et al. But at the very least, I hope to say enough to undermine Jackson et al’s powerful attack against it. The plan of this paper is as follows. Section 1 glosses the view of moral particularism and why it is taken to be essentially committed to the shapeless thesis. Section 2 examines a Wittgensteinian argument for the shapeless thesis. I shall argue that the Canberrans’ counter-arguments against it on grounds of disjunctive commonality and conceptual competence do not succeed. Section 3 explicates Canberrans’ predication supervenience argument against the shapeless thesis. Section 4 offers my criticisms of the Canberrans’ predication supervenience argument. In view of the above discussions, in Sect. 5, I conclude that there is no compelling argument (from the Canberrans) to believe that the shapeless thesis fails (as I have argued in Sect. 4). In fact, there is some good reason for us to believe it (as I have argued in Sect. 2). If so, I contend that moral particularism, when construed as essentially committed to the shapeless thesis, still remains as a live option. (shrink)

This article presents results from a simulation‐based study of inheritance inference, that is, inference from the typicality of a property among a “base” class to its typicality among a subclass of the class. The study aims to ascertain which kinds of inheritance inferences are reliable, with attention to the dependence of their reliability upon the type of environment in which inferences are made. For example, the study addresses whether inheritance inference is reliable in the case of “exceptional subclasses” (i.e., subclasses (...) that are known to be atypical in some respect) and attends to variations in reliability that result from variations in the entropy level of the environment. A further goal of the study is to show that the reliability of inheritance inference depends crucially on which sorts of base classes are used in making inferences. One approach to inheritance inference treats the extension of any atomic predicate as a suitable base class. A second approach identifies suitable base classes with the cells of a partition (of a preselected size k) of the domain of objects that satisfies the condition of maximizing the similarity of objects that are assigned to the same class. In addition to permitting more inferences, our study shows that the second approach results in inheritance inferences that are far more reliable, particularly in the case of exceptional subclasses. (shrink)

Some philosophers argue that all concepts cannot have the same representational structure, because no single kind of representation has been successful in accounting for the phenomena related to the formation and application of concepts. Here, I argue against this “appeal to cognitive science” by demonstrating that different theories of the kind concept cohere with different interpretations of the argument. To circumvent the threat of relativism, I argue that theories of concept should be understood as working hypotheses, which are provisionally accepted (...) to facilitate the investigation and explanation of the mind/brain. From this perspective, theories of concept are to be evaluated as part of a comparative analysis of the different kinds of cognitive science they inspire. (shrink)

The extant literature on discourse comprehension distinguishes between two types of texts: narrative and expository. Narrative discourse tells readers a story by giving them an account of events; the narration informs and/or persuades the readership by using textual elements such as theme, plot, and characters. Expository discourse explains or informs the readership by using concepts and techniques such as definition, sequence, categorization, and cause-effect relations. The present study is based on two experiments. In Experiment 1, we compared the two discourse (...) types to examine if college students would be better at extracting the meanings of novel words from one of the two types of discourse structure than from the other. The findings indicated that participants were significantly better at inferring the meaning of novel words from narrative compared to expository discourse. In Experiment 2, we examined the number of situation models that a reader is required to mentally construct, as a possible characteristic that influences the difficulty of learning new word meaning within narrative discourse. Contrary to intuition, fewer novel words were learned in a single-situation, as opposed to a multi-situation model condition, suggesting that the additional inferencing needed to construct multiple models also promotes word learning. Results are discussed with respect to how the structure of written discourse can facilitate word learning in a reader’s native language. Implications for education and assessment are also discussed. (shrink)

This paper describes how language contributes to the oppression and exploitation of animals by animal product industries. Critical Discourse Analysis, a framework usually applied in countering racism and sexism, is applied to a corpus of texts taken from animal industry sources. The mass confinement and slaughter of animals in intensive farms depend on the implicit consent of the population, signaled by its willingness to buy animal products produced in this way. Ideological assumptions embedded in everyday discourse and that of the (...) animal industries manufacture and maintain this consent. Through analysis of texts, this paper attempts to expose these assumptions and discusses implications for countering the domination and exploitation of animals. (shrink)

One of the most experimentally studied scales in the literature on scalar implicatures is the quantifier scale. While the truth of some is entailed by the truth of all, some is felicitous only when all is false. This opens the possibility that some would be felicitous if, e.g., 99% of the objects in the domain of quantification fall under it, a conclusion that clashes with native speakers’ intuitions. In Experiment 1 we report a questionnaire study on the perception of quantifier (...) meanings in English, French, Slovenian and German which points to a cross-linguistic variation with respect to the perception of numerical bounds of the existential quantifier. In Experiment 2, using a picture choice task, we further examine whether the numerical bound differences correlate with differences in pragmatic interpretations of the quantifier some in English and quelques in French and interpret the results as supporting our hypothesis that some and its cross-linguistic counterparts are subjected to different processes of pragmatic enrichment. (shrink)

The present essay aims at integrating different concepts of meaning developed in semiotics, biology, and cognitive science, in a way that permits the formulation of issues involving evolution and development. The concept of sign in semiotics, just like the notion of representation in cognitive science, have either been used too broadly, or outright rejected. My earlier work on the notions of iconicity and pictoriality has forced me to spell out the taken-forgranted meaning of the sign concept, both in the Saussurean (...) and the Peircean tradition. My work with the evolution and development of semiotic resources such as language, gesture, and pictures has proved the need of having recourse to a more specified concept of sign. To define the sign, I take as point of departure the notion of semiotic function (by Piaget), and the notion of appresentation (by Husserl). In the first part of this essay, I compare cognitive science and semiotics, in particular as far as the parallel concepts of representation and sign are concerned. The second part is concerned with what is probably the most important attempt to integrate cognitive science and semiotics that has been presented so far, The Symbolic Species, by Terrence Deacon. I criticize Deacon’s use of notions such as iconicity, indexicality, and symbolicity. I choose to separate the sign concept from the notions of iconicity, indexicality, and symbolicity, which only in combination with the sign give rise to icons, indices, and symbols, but which, beyond that, have other, more elemental, uses in the world of perception. In the third part, I discuss some ideas about meaning in biosemiotics, which I show not to involve signs in the sense characterised earlier in the essay. Instead, they use meaning in the general sense of selection and organisation, which is a more elementary sense of meaning. Although I admit that there is a possible interpretation of Peirce, which could be taken to correspond to Uexküll’s idea of functional circle, and to meaning as function described by Emmeche and Hoffmeyer, I claim thatthis is a different sense of meaning than the one embodied in the sign concept. Finally, I suggest that more thresholds of meaning than proposed, for instanceby Kull, are necessary to accommodate the differences between meaning (in the broad sense) and sign (as specified in the Piaget–Husserl tradition). (shrink)

Practically all theories of iconicity are denunciations of its subject matter (for example, those of Goodman, Bierman and the early Eco). My own theory of iconicity was developed in order to save a particular kind of iconicity, pictoriality, from such criticism. In this interest, I distinguished pure iconicity, iconic ground, and iconic sign, on one hand, and primary and secondary iconic signs, on the other hand. Since then, however, several things have happened. The conceptual tools that I created to explain (...) pictoriality have been shown by others to be relevant to linguistic iconicity. On the other hand, semioticians with points of departure different from mine have identified mimicry as it is commonly found in the animal world as a species of iconicity. In the evolutionary semiotics of Deacon, iconicity is referred to in such a general way that it seems to be emptied of all content, while in the variety invented by Donald the term mimesis is used for a particular phase in the evolution of iconic meaning. The aim of this article is to consider to what extent the extension of iconicity theory to new domains will necessitate the development of new models. (shrink)

Journal Name: Semiotica Issue: Ahead of print.

Corpus linguistics is becoming a respected method of statutory and constitutional interpretation in the United States over the past decade, yet it has also generated a backlash from a group of scholars that engage in empirical work. This essay attempts to demonstrate both the contributions and the risks of using linguistic corpora as a primary tool in legal interpretation. Its legitimacy stems from the fact that courts routinely state that statutory terms, when not defined as a matter of law, are (...) to be given their ordinary meaning. Judges have responded to this challenge, with the assistance of the linguistics community, by using corpora to determine which meanings are ordinary. However, legal analysts have not determined exactly what makes one meaning ordinary and another not ordinary. This gap has led to a level of disagreement in the field. Moreover, while linguists who engage in corpus linguistic analysis typically emphasize the importance of context, the legal application is peculiarly context-free, in keeping with legal philosophies that eschew reliance on reference to a law’s purpose and the intent of the legislature that enacted it. This move adds a political dimension to corpus analysis as a means of legal interpretation. Yet, the article concludes that by relying on a blend of general and specialized corpora, the legal system can substantially reduce the problem of contextualization, as some linguists and practitioners have already recognized. (shrink)

While the failure of the so-called classical theory of concepts - according to which definitions are the proper way to characterize concepts - is a consensus, metaphysical philosophy of religion still deals with the concept of God in a predominantly definitional way. It thus seems fair to ask: Does this failure imply that a definitional characterization of the concept of God is equally untenable? The first purpose of this paper is to answer this question. I focus on the representational side (...) of the matter. My goal is to analyze the extent to which the most important problems raised against the classical view of concepts affect a definitional-representational approach to the concept of God. The second purpose of the paper is to deepen into these issues, arguing for a pluralistic view of concepts and outlining a hybrid special theory of concepts, called the theory of ideal concepts. The theory is special because it deals with a special sort of concepts that I call ideal concepts; it is hybrid because, in addition to definitions, it uses another structure in the characterization of concepts: ideals. My goal is to argue that when applied to the concept of God and added to a pluralistic view of concepts, this theory can function as a tenable representational theory of the concept of God. (shrink)

Recent attempts to reconcile the ontic and epistemic approaches to explanation propose that our best explanations simply fulfill epistemic and ontic norms simultaneously. I aim to upset this armistice. Epistemic norms of attaining general and systematic explanations are, I argue, autonomous of ontic norms: they cannot be fulfilled simultaneously or in simple conjunction with ontic norms, and plausibly have priority over them. One result is that central arguments put forth by ontic theorists against epistemic theorists are revealed as not only (...) question-begging, but ultimately self-defeating. Another result is that a more nuanced reconciliation of the epistemic and ontic views is required: we should regard good explanatory practice as a dynamic process with distinct phases of epistemic and ontic success. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning derived from subliminal learning, (...) conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks is predominantly based on rule abstraction is questionable. When subjects cannot report the “implicitly learned” rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

Although the connectionist approach has lead to elegant solutions to a number of problems in cognitive science and artificial intelligence, its suitability for dealing with problems in knowledge representation and inference has often been questioned. This paper partly answers this criticism by demonstrating that effective solutions to certain problems in knowledge representation and limited inference can be found by adopting a connectionist approach. The paper presents a connectionist realization of semantic networks, that is, it describes how knowledge about concepts, their (...) properties, and the hierarchical relationship between them may be encoded as an interpreter‐free massively parallel network of simple processing elements that can solve an interesting class of inheritance and recognition problems extremely fast—in time proportional to the depth of the conceptual hierarchy. The connectionist realization is based on an evidential formulation that leads to principled solutions to the problems of exceptions and conflicting multiple inheritance situations during inheritance, and the best‐match or partial‐match computation during recognition. The paper also identifies constraints that must be satisfied by the conceptual structure in order to arrive at an efficient parallel realization. (shrink)