Balázs Kégl, Guy Lapalme's Advances in Artificial Intelligence: 18th Conference of the PDF

By Balázs Kégl, Guy Lapalme

ISBN-10: 3540258647

ISBN-13: 9783540258643

This ebook constitutes the refereed court cases of the 18th convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2005, held in Victoria, Canada in may perhaps 2005.

The revised complete papers and 19 revised brief papers offered have been rigorously reviewed and chosen from a hundred thirty five submission. The papers are equipped in topical sections on brokers, constraint delight and seek, information mining, wisdom illustration and reasoning, laptop studying, normal language processing, and reinforcement studying.

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Extra info for Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria,

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Another effect of relaxing an inter-agent constraint is that it will reduce the communication and external computation costs for the two agents it connects. Conversely, when relaxing an intra-agent constraint, only one agent gets the benefit. Hence the question of the relative importance of inter- and intra-agent constraints is not clear-cut. In our approach, we allow the autonomous agents to make decisions about relaxing intra- versus inter-agent constraints, based on the current degreeU nsat measure, rather than mandating a fixed trade-off.

Score for saving survivors - changes to this feature effect the competitiveness of the environment. 2. Single or multiple teams in the simulation - cooperative vs competitive environment. 3. Maximum number of agents required to remove rubble - causes the agents to deal with resource allocation issues by having to get other agents to help in the removal of the rubble object. 4. Energy Control - agents need to deal with monitoring their energy level and regaining energy back as it is needed. In some configurations of the system this becomes a resource allocation issue as the agents may have to move onto a specific square in the world to regain energy.

As Agent 1 has higher priority than Agent 2 (degreeU nsatA1 < degreeU nsatA2 ), it will do nothing and just await. In Agent 2, variable 1 has the highest priority and its value satisfies all constraints. Variable 2 has higher priority, but its value violates the constraint between Agent 1’s variable 3 and itself. Although Agent 2 tries to assign a new value to variable 2, it cannot find any colours that satisfy all constraints. Hence, a nogood is produced, and is recorded as {A2 , v2 , {A1 , v2 ,‘B’}, {A1 , v3 ,‘R’}, {A2 , v1 ,‘W’}}, where Agent 2’s (A2 ) variable v2 cannot be instantiated with any colour because A1 ’s variable v2 is instantiated with ‘B’, A1 ’s variable v3 is instantiated with ‘R’ and A2 ’s variable v1 is instantiated with ‘W’.

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Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, by Balázs Kégl, Guy Lapalme

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