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

ISBN-10: 354043724X

ISBN-13: 9783540437246

The AI convention sequence is the finest occasion backed by way of the Canadian - ciety for the Computational experiences of Intelligence / Soci´et´e canadienne pour l’´etude d’intelligence par ordinateur. Attendees take pleasure in our usually Canadian - mosphere –hospitable and stimulating. The Canadian AI convention showcases the wonderful examine paintings performed by means of Canadians, their foreign colleagues, and others deciding on to affix us every one spring. overseas participation is often excessive; this yr virtually forty% of the submitted papers have been from non-Canadian - searchers. We authorised 24 papers and eight poster papers from fifty two full-length papers submitted. We additionally authorized 8 of ten abstracts submitted to the Graduate scholar Symposium. All of those authorised papers seem during this quantity. The Canadian AI convention is the oldest continuously-held nationwide AI c- ference on this planet. (ECCAI’s predecessor, AISB, held conferences in 1974, yet those have considering that turn into international.) meetings were held biennially when you consider that 1976, and every year seeing that 2000. AI 2002 back joined its sister Canadian computing device technological know-how meetings, imaginative and prescient Interface and snap shots Interface, enri- ing the event for all contributors. 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 gorgeous campus of the collage of Calgary, and lots of contributors took the chance to travel within sight Ban? and the magni?cent Rocky Mountains.

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Additional info 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

Sample text

1. Upon receiving buyer b’s announcement of its desire for good g, s4 has to decide on the price to sell g to b. Assume that s4 ’s expected profits to sell g to b at various prices are Table 4. 25. By equation (9), s4 chooses price pˆ = 4 to sell g to b: pˆ = arg max p∈P p ≥ cs (g, b) hs4 (g, p, b) = 4. , P rof its4 (g, pˆ, b) = 0. 30. Thus, according to equation (9), it is unlikely that price pˆ = 4 will be chosen again to sell good g to buyer b in future auctions. Assume that s4 has failed to sell g to b for a number of auctions.

This calling information is useful to detect exceptions. It is also often standard for a host system to track the status of its agents, recording whether they are actively working on tasks or not. This information about the status of agents is also generally useful to detect exceptions. Who provides the information needed for exception handling depends on the architecture used for the host system. For instance, an architecture that includes a middle agent, such as a matchmaker [5], would typically have that agent tracking the status of all agents and of all calls within the system.

When two or more systems enlist AERO’s service, we can see AERO playing a role in detecting and handling exceptions involving agents from different agent systems. And there may be a need for specialists in each of the agent systems to work together. In addition, there may some advantage to having an outsourced exception handling service, such as AERO, to assist with evaluating the trustworthiness of 30 David Chen and Robin Cohen each agent in a system or to act as a third party observer. Another possible role for AERO would be to act as a shelter for threatened agents, providing a “safe” location for escape until malicious agents have been located and repaired.

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Advances in Artificial Intelligence: 15th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2002 Calgary, Canada, May 27–29, 2002 Proceedings by Scott A. DeLoach (auth.), Robin Cohen, Bruce Spencer (eds.)


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