This volume argues in favor of rethinking basic issues in cognitive science in the context of recent developments. Some issues that are investigated include: the importance of simulation as a methodological tool for theory development in cognitive science, the necessity of linguistic transparency in models of cognition, and the embodiment of knowledge in its substratum, for example, in neural structure. The volume sketches the epistemological and methodological implications for cognitive science and its related disciplines. These issues include the evolution of semantics and symbol grounding as well as the design of autonomous systems acting in the `real’ world, either as robots or as software.
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