Advances in Artificial Intelligence: 15th Conference of the by Scott A. DeLoach (auth.), Robin Cohen, Bruce Spencer (eds.)

By Scott A. DeLoach (auth.), Robin Cohen, Bruce Spencer (eds.)

The AI convention sequence is the most suitable occasion subsidized by means of the Canadian - ciety for the Computational reports of Intelligence / Soci´et´e canadienne pour l’´etude d’intelligence par ordinateur. Attendees take pleasure in our often Canadian - mosphere –hospitable and stimulating. The Canadian AI convention showcases the wonderful learn paintings performed through Canadians, their foreign colleagues, and others deciding upon to hitch us each one spring. overseas participation is often excessive; this 12 months nearly forty% of the submitted papers have been from non-Canadian - searchers. We accredited 24 papers and eight poster papers from fifty two full-length papers submitted. We additionally approved 8 of ten abstracts submitted to the Graduate scholar Symposium. All of those authorized papers seem during this quantity. The Canadian AI convention is the oldest continuously-held nationwide AI c- ference on the planet. (ECCAI’s predecessor, AISB, held conferences in 1974, yet those have on account that turn into international.) meetings were held biennially given that 1976, and every year in view that 2000. AI 2002 back joined its sister Canadian machine technological know-how meetings, imaginative and prescient Interface and photos Interface, enri- ing the event for all members. The joint assembly permits us to stick - shaped approximately different parts, to make new contacts, and maybe to enquire cross-disciplinary learn. This 12 months the meetings used to be hung on the attractive campus of the college of Calgary, and lots of contributors took the chance to journey within sight Ban? and the magni?cent Rocky Mountains.

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Extra resources for Advances in Artificial Intelligence: 15th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2002 Calgary, Canada, May 27–29, 2002 Proceedings

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IBM: Aglets. com/aglets/ (1998) 17, 22 4. Chen, D. : AERO: An Outsourcing Approach to Exception Handling in MultiAgent Systems. M. Math Thesis, Department of Computer Science, University of Waterloo (2001) 21 5. : Behaviors for information agents. In: Proceedings of Agents 1997 conference. (1997) 21 6. : An Exception Handling Approach to Enhancing Consistency, Completeness and Correctness in Collaborative REquirements Capture. Concurrent Engineering Research and Applications (1997) 28 7. : Domain-Independent Exception Handling Services That Increase Robustness in Open Multi-Agent Systems.

In addition, we have examined some of the ways in which AERO can be of particular assistance, given that it may be servicing multiple systems simultaneously. Since exceptions are in fact a real possibility in many agent systems, there is a need to develop methods for addressing these exceptions, in order to maintain the efficiency of these systems and to enable these systems to be better trusted by their users. The development of AERO can therefore be seen as an important part of the overall effort to design reliable agent systems.

We A Learning Algorithm for Buying and Selling Agents 39 believe that this type of learning has certain advantages: Buyers can act independently and autonomously without being affected by communication delays (due to other buyers being busy), the failure of some key-buyer (whose buying policy influences other buyers), or the reliability of the information (the information received from other buyers may not be reliable). The resultant system, therefore, should be more robust [10]. The underlying mechanism that allows agents to do business with one another in our marketplace is actually a form of the contract-net protocol [2,11], where buyers announce their desire for goods to all sellers via multicast or possibly broadcast.

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