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This collection of papers is the result of the first Conceptual Structure, Discourse and Language conference (CSDL) held at the University of California, San Diego. The conference brought together researchers from both 'Cognitive' and 'Functional' approaches to linguistics. The papers in this volume span a variety of topics, but the common thread running through them is the claim that semantics and discourse properties are fundamental to the understanding of language. The themes presented in the volume include an emphasis on the dynamic nature of language, the relevance of a notion of viewpoint in grammatical analysis, the role and nature of metaphor and cognitive blend, the possibility of non-derivational ways to capture relationships among constructions and the importance of lexical semantics. This volume will appeal to a wide range of linguists, echoing the theme of the conference - bringing together two diverse approaches to linguistics.
Computerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, etc., and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems), virtual reality models (object systems, agent systems), probabilistic m- els(Bayesiannets,fuzzylogic),linguisticmodels(conceptualdependencygraphs, language-based representations), etc. OneofthestrengthsoftheConceptualGraph(CG)theoryisitsversatilityin terms of the representation paradigms under which it falls. It can be viewed and therefore used, under di?erent representation paradigms, which makes it a p- ular choice for a wealth of applications. Its full coupling with di?erent cognitive processes lead to the opening of the ?eld toward related research communities such as the Description Logic, Formal Concept Analysis, and Computational Linguistic communities. We now see more and more research results from one community enrich the other, laying the foundations of common philosophical grounds from which a successful synergy can emerge.
This book offers something unique - a perspective of mind and language where diverse topics are carefully integrated within one framework.
Within cognitive science, two approaches currently dominate the problem of modeling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gärdenfors offers his theory of conceptual representations as a bridge between the symbolic and connectionist approaches. Symbolic representation is particularly weak at modeling concept learning, which is paramount for understanding many cognitive phenomena. Concept learning is closely tied to the notion of similarity, which is also poorly served by the symbolic approach. Gärdenfors's theory of conceptual spaces presents a framework for representing information on the conceptual level. A conceptual space is built up from geometrical structures based on a number of quality dimensions. The main applications of the theory are on the constructive side of cognitive science: as a constructive model the theory can be applied to the development of artificial systems capable of solving cognitive tasks. Gärdenfors also shows how conceptual spaces can serve as an explanatory framework for a number of empirical theories, in particular those concerning concept formation, induction, and semantics. His aim is to present a coherent research program that can be used as a basis for more detailed investigations.
Creativity is a powerful and elusive force. It brings about scientific, technological and artistic accomplishment, and it allows us to adapt to changes in our lives, to solve problems, and to resolve conflicts. It is little wonder, then, that cognitive psychologists have long been fascinated by the mysteries of creative thought: where do people get new ideas? How are they inspired to make new discoveries? How is old knowledge mapped onto novel situations, and how are old and mistaken ways of thinking replaced by innovative perspectives?
This book describes a novel conception of reality, one that uniquely incorporates an idealistic view of existence with an account of objectivity. It introduces a general model of conceptual analysis and demonstrates its effectiveness in exposing and establishing the existence of conceptual ties. The book begins by introducing the tools and principles needed for the conceptual analysis undertaken in chapters that follow. Next, it presents a detailed examination into existence, contingency, idealism, self-consciousness and natural laws. In the process, the author critically examines the conceptions of existence held by Kant, Frege and Russell; argues that the determinations of past, present and future are subjective in the sense that they imply the existence of consciousness in relation to which they are fixed; shows that every possible reality includes sufficient conditions for self-consciousness; and confronts the question of the "uniformity of nature," which states that reality is subject to natural laws. In the end, the idealistic conception of reality developed in this book implies that existence is relative, rather than absolute, in the sense that it is determined in relation to a point of view internal to reality. This view of existence implies that reality necessarily exists.
Researchers and professionals in the relevant fields will find this book a must-read, as it defines the leading edge of current research into conceptual structures. It constitutes the refereed proceedings of the 15th International Conference on Conceptual Structures, held in Sheffield, UK in July 2007. With almost 50 papers contained in its 500 pages, it includes a special focus on the application of conceptual structures in business and technological settings and is organized into topical sections for ease of reference.
This book constitutes the refereed proceedings of the 6th International Conference on Conceptual Structures, ICCS'98, held in Montpellier, France, in August 1998. The 20 revised full papers and 10 research reports presented were carefully selected from a total of 66 submissions; also included are three invited contributions. The volume is divided in topical sections on knowledge representation and knowledge engineering, tools, conceptual graphs and other models, relationships with logics, algorithms and complexity, natural language processing, and applications.
The book constitutes the refereed proceedings of the 11th International Conference on Conceptual Structures, ICCS 2003, held in Dresden, Germany in July 2003. The 23 revised full papers presented together with 5 invited papers were carefully reviewed and selected for presentation. The papers are organized in topical sections on the many facets of conceptual structures, logical and linguistic aspects, conceptual representation of time and space, deepening the formal theory and applications of conceptual structures.
This book constitutes the refereed proceedings of the 16th International Conference on Conceptual Structures, ICCS 2008, held in Toulouse, France, in July 2008. The 19 revised full papers presented together with 2 invited papers were carefully reviewed and selected from over 70 submissions. The scope of the contributions ranges from theoretical and methodological topics to implementation issues and applications. The papers present a family of Conceptual Structure approaches that build on techniques derived from artificial intelligence, knowledge representation, applied mathematics and lattice theory, computational linguistics, conceptual modeling, intelligent systems and knowledge management.