Download Advances in Agent Communication: International Workshop on by Andrew J. I. Jones, Xavier Parent (auth.), Frank Dignum PDF

By Andrew J. I. Jones, Xavier Parent (auth.), Frank Dignum (eds.)

InthisbookwepresentacollectionofpapersaroundthetopicofAgentCom- nication. The communique among brokers has been one of many significant issues of analysis in multi-agent structures. the present paintings can for that reason construct on a few earlier workshops, the court cases of which were released in past volumes during this sequence. the root of this assortment is the permitted s- missions of the workshop on Agent verbal exchange Languages which used to be held at the side of the AAMAS convention in July 2003 in Melbourne. The workshop obtained 15 submissions of which 12 have been chosen for book during this quantity. even if the variety of submissions was once below anticipated for a huge quarter like Agent verbal exchange there is not any cause to fret that this quarter doesn't get sufficient awareness from the agent neighborhood. to start with, the 12 chosen papers are all of top quality. The excessive reputation fee is barely because of this prime quality and never to the need to pick out a definite variety of papers. in addition to the high quality workshop papers, we spotted that many papers on Agent conversation discovered their method to the most convention. We made up our minds for this reason to ask a few authors to revise and expand their papers from this convention and to mix them with the workshop papers. We think that the present assortment includes an exceptional and rather whole evaluation of the state-of-the-art during this sector of analysis and offers an exceptional indication of the themes which are of significant curiosity on the moment.

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Extra info for Advances in Agent Communication: International Workshop on Agent Communication Languages, ACL 2003, Melbourne, Australia, July 14, 2003. Revised and Invited Papers

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The definitions in this section resemble the framework of Markov Decision Processes (MDPs) very much, and to capture the fact that probabilities of communication effects are affected by the decision-making agent herself, the MDP model would have to be modified appropriately. For the purposes of the present analysis, though, defining some simple measures on expectation structures will suffice. 5 Entropy Measures With the above definitions at hand, we can now return to the principles of communication laid out in section 2.

E. cond (C) ∧ C |= false), F is modified to obtain F = (cond (F ) ∨ C , w, h). As a final element in this agent architecture, we assume the existence of a utility function u : 2L × Σ ∗ → R which will provide to the agent an assessment of the utility u(KB , w) of any message/action sequence w and any knowledge base content KB . Note that while it appears to be a rather strong assumption that the utility of any message sequence can be numerically assessed in any state of belief, this is not intended as a measure for how good certain messages are in a “social” sense.

Luhmann. Social Systems. Stanford University Press, Palo Alto, CA, 1995. 10. A. U. Mallya, P. Yolum, and M. Singh. Resolving commitments among autonomous agents. In this volume. 11. G. H. Mead. Mind, Self, and Society. University of Chicago Press, Chicago, IL, 1934. 12. -J. M¨ uller and R. Dieng, editors. Computational Conflicts – Conflict Modeling for Distributed Intelligent Systems. Springer-Verlag, Berlin, 2000. 13. M. Nickles, M. Rovatsos, W. Brauer, G. Weiß. Communication Systems: A Unified Model of Socially Intelligent Systems.

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