摘要:

In this brief article I shall reflect first on the development of a theoretical model of knowledge elicitation and knowledge representation, derived from semiotic theory and from theatrical performance analysis (Hilton, 1989) and then on the application of some of these concepts in the MEDICA project, part of the European Commission AIM program. *These in mm lead to a possible schematization of a complementary three-stage development strategy for Al systems: (1) an expert system, (2) a cognitive support system, and (3) a reflective support system.

ISSN:0883-9514    

DOI:10.1080/08839519308949972

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519308949973

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

Starting from general observations on form and substance, I take a closer look at knowledge representation and how this field has been treated in artificial intelligence (Al) research. I argue for directing more attention to the substance of knowledge and find similar views expressed in Lenat and Guha's Cyc project (Building Large Knowledge-Based Systems. Reading, MA: Addison-Wesley, 1989). Contrary to their view, however, I argue for not dismissing prior work like research concerning thesauri, and stress the importance of an interdisciplinary and intercultural approach in general. I also note some caveats and observations concerning the distinction between representing the world and its representation by means of language.

ISSN:0883-9514    

DOI:10.1080/08839519308949974

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

Neural network models of cognitive processes provide us with an entirely new conception of perceptual recognition, theoretical knowledge, teaming and conceptual change. This brain-based perspective on cognition bears directly on some long-standing issues in the philosophy of science. In particular, it appears to vindicate five of the more central themes of Paul Feyerabend's philosophy of science.

ISSN:0883-9514    

DOI:10.1080/08839519308949975

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

In this paper we discuss some fundamentals of “conventional” or “symbolic ” artificial intelligence (AI) and how connectionism, if done properly, can provide some genuinely novel aspects. We show some evidence against the traditional approach when viewed as a plausible model of animate intelligence. We also show that connectionist models appear to be much closer to an adequate model of “natural” behavior. Furthermore, we discuss possible impacts of connectionism on AI as afield of research and, beyond that, on how we think about our own mind. Many questions, however, remain open to permit a clear forecast of where the research will lead us.

ISSN:0883-9514    

DOI:10.1080/08839519308949976

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519308949977

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519308949978

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519308949971

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor