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

and other research outputs Blending the physical and the digital through conceptual spaces

: 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

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

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

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.

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.

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

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

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