AI 2005: Advances in Artificial Intelligence: 18th by Shichao Zhang, Ray Jarvis

By Shichao Zhang, Ray Jarvis

This ebook constitutes the refereed lawsuits of the 18th Australian Joint convention on synthetic Intelligence, AI 2005, held in Sydney, Australia in December 2005.

The seventy seven revised complete papers and 119 revised brief papers awarded including the abstracts of three keynote speeches have been rigorously reviewed and chosen from 535 submissions. The papers are catgorized in 3 large sections, specifically: AI foundations and applied sciences, computational intelligence, and AI in really good domain names. specific issues addressed by means of the papers are good judgment and reasoning, computing device studying, online game concept, robot know-how, facts mining, neural networks, fuzzy concept and algorithms, evolutionary computing, net intelligence, choice making, development acceptance, agent expertise, and AI purposes.

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Extra info for AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings

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1987) Intention, Plans, and Practical Reason. Harvard University Press, Cambridge, MA. 3. R. J. ’ Artificial Intelligence, 42, 213–261. 4. , Moses, Y. Y. (1995) Reasoning About Knowledge. MIT Press, Cambridge, MA. 5. P. L. ’ Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), 677–682. 6. Harel, D. (1979) First-Order Dynamic Logic. Springer-Verlag, Berlin. 7. J. ’ IEEE Transactions on Software Engineering, 23(5), 279–295. 8. Penczek, W. & Lomuscio, A. ’ Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, 209–216.

So, while Rao and Georgeff [13] presented a model checking algorithm for their BDI logic, they did not address the central question of generating these models from agent programs in the first place. Recently, there have been some efforts to apply model checking to classes of systems that include some characteristics of agency. In the work of Bordini et al. [1], AgentSpeak(L) agent programs, Rao [10], are coded in P ROMELA for verification using the S PIN model checker; however, the meaning of the belief, goal and intention modalities is not captured semantically, but instead specific beliefs, goals and intentions of the agent are encoded as extra state information in S PIN models.

The key problem is to show how any agent program executing within the architecture can be mapped onto a semantic structure that can be generated computationally and that includes not only the possible behaviours of the agent in a potentially highly nondeterministic environment, but faithfully captures the mental states (beliefs, desires and intentions) of the agent at any time in its execution. g. Cohen and Levesque [3], Rao and Georgeff [11, 14], Wooldridge [19], these mappings must incorporate architecturespecific aspects both in the definition of the possible execution paths of an agent program and in how mental notions are realized in agents implemented in the architecture.

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