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Emergence and Cognition: Towards a Synthetic Paradigm in AI and Cognitive Science

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Book cover Multiagent System Technologies (MATES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3187))

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Abstract

In this (very) extended abstract I will make explicit the general ideological perspective and theoretical claims of the talk (like in a manifesto). As for the exemplification of these claims within the AI domain – in particular within the Agent and Multi-Agent Systems area – I will provide the overall blueprint but I will develop here only some part and give only some examples. I will illustrate how a synthetic paradigm can be built through the notion of different levels of reality description and of scientific theory, and through their interconnections thanks to bridge-theories, cross-layered theories, and layered ontologies. I will provide several examples of bridge-theories and layered ontologies with special attention to agents and multi-agent systems. In particular I will sketch the problem of emotions in agents with reference to agent/mind re-embodiment (the theory of needs and the relation between ‘believing’ and ‘feeling’); I will examine the theory of the mental counterparts of social objects illustrating the mental facet of norms and of commitment; the grounding of social power in the personal power; the cognitive bases of organisations; the layered notions of conflict, cooperation, communication, goal, agent, delegation, as applied to different levels of agenthood.

I will examine the problem of emergence among intelligent agents by exploring the problem of unplanned cooperation and social functions. I will conclude with the importance of the new “social” computational paradigm in this perspective, and the emergent character of computation in Agent Based Computing.

Published in H. Coelho (Ed.) Progress in AI – IBERAMIA’98 Springer, LNAI 1484. 13-26.

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Castelfranchi, C. (2004). Emergence and Cognition: Towards a Synthetic Paradigm in AI and Cognitive Science. In: Lindemann, G., Denzinger, J., Timm, I.J., Unland, R. (eds) Multiagent System Technologies. MATES 2004. Lecture Notes in Computer Science(), vol 3187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30082-3_2

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  • DOI: https://doi.org/10.1007/978-3-540-30082-3_2

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