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Conceptual Space*†
"... One of the greatest extant challenges for cognitive science is the development of a theory of the biology of language that is compatible with recent developments in linguistic theory. While some linguists have been interested in certain biology-related phenomena (aphasia, specific language impairmen ..."
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One of the greatest extant challenges for cognitive science is the development of a theory of the biology of language that is compatible with recent developments in linguistic theory. While some linguists have been interested in certain biology-related phenomena (aphasia, specific language impairment, acquisition among deaf and/or blind
through Conceptual Spaces
"... and other research outputs Blending the physical and the digital through conceptual spaces ..."
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and other research outputs Blending the physical and the digital through conceptual spaces
A Conceptual Space Logic
- In Proceedings of the 9 th European-Japanese Conference on Information Modelling and Knowledge Bases
, 1999
"... : Conceptual spaces have been proposed as topological or geometric means for establishing conceptual structures and models. This paper, after briey reviewing conceptual spaces, focusses on the relationship between conceptual spaces and logical concept languages with operations for combining conc ..."
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Cited by 2 (0 self)
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: Conceptual spaces have been proposed as topological or geometric means for establishing conceptual structures and models. This paper, after briey reviewing conceptual spaces, focusses on the relationship between conceptual spaces and logical concept languages with operations for combining
Induction and the Evolution of Conceptual Spaces
"... Peirce notes (CP 2.753) that there are certain forms of evolutionary constraints that delimit the vast class of human inductive inferences. The paper focuses on the problem of projectible properties which is analyzed in relation to modern cognitive science. In particular, the notion of a conceptual ..."
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Cited by 4 (3 self)
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space is introduced and it is shown how this can be used to identify projectible properties. Furthermore, I outline how the so called prototype theory of concept formation can be interpreted in terms of conceptual spaces. The evolutionary origin of conceptual spaces is discussed. It is argued
1 Conceptual spaces
"... Abstract: The dominating models of information processes have been based on symbolic representations of information and knowledge. During the last decades, a variety of non-symbolic models have been proposed as superior. The prime examples of models within the non-symbolic approach are neural networ ..."
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networks. However, to a large extent they lack a higher-level theory of representation. In this paper, conceptual spaces are suggested as an appropriate framework for non-symbolic models. Conceptual spaces consist of a number of ’quality dimensions ’ that often are derived from perceptual mechanisms
Conceptual Spaces for Data Descriptions
"... Cognitively adequate information representations have a great potential to improve interactions between systems and users. They are able to account for a specific user’s personal understanding, knowledge and preferences. To utilize this capacity for the personalization of services, we need to repres ..."
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to represent information on a level that corresponds to human cognition. In this paper, we show how to generate such a description in the form of a conceptual space from an existing landmarks database. We then analyze this process for future automation and generalization.
Cluster Analysis in conceptual spaces
- Proceedings of 9 u' International Conference on Systems Research, Infonnatis and Cybernetics
, 1997
"... The problem to solve is the development of tools that allows us the comparison between sets of objects (individual objects) by the intentional via. The concept of symbolic object was introduced by E. Diday (starting from the conceptual algorithms proposed by Michalski) and developed actually by thei ..."
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of this definitions we introduce similarity functions between symbolic objects, and crisp and fuzzy clustering criteria for the structuralization of a conceptual space (of concepts) based on the logic combinatory approach to Pattern Recognition.
Acting on Conceptual Spaces in Cognitive Agents
"... Abstract. Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able to ‘produce a new space ’ b ..."
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Abstract. Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able to ‘produce a new space
Extending Conceptual Spaces
"... As noted in Section 2.3, Gärdenfors ’ conceptual spaces theory of concepts is an example of a similarity space theory, which on the face of things puts it in company with prototype and exemplar theories of concepts, in the empirical tradition, and in contrast with e.g. theory theory and informationa ..."
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As noted in Section 2.3, Gärdenfors ’ conceptual spaces theory of concepts is an example of a similarity space theory, which on the face of things puts it in company with prototype and exemplar theories of concepts, in the empirical tradition, and in contrast with e.g. theory theory
Reasoning about Categories in Conceptual Spaces
- In Proceedings of the Fourteenth International Joint Conference of Artificial Intelligence
, 2001
"... Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-sensitive categorization via a geometrical representation designed for modeling and managing concepts. In this paper we s ..."
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Cited by 24 (2 self)
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Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-sensitive categorization via a geometrical representation designed for modeling and managing concepts. In this paper we
Results 1 - 10
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4,534