Download e-book for kindle: AI 2004: Advances in Artificial Intelligence: 17th by Seung-Ryong Yang, Jun-Ki Min, Sung-Bae Cho (auth.), Geoffrey

By Seung-Ryong Yang, Jun-Ki Min, Sung-Bae Cho (auth.), Geoffrey I. Webb, Xinghuo Yu (eds.)

ISBN-10: 3540240594

ISBN-13: 9783540240594

ISBN-10: 3540305491

ISBN-13: 9783540305491

This e-book constitutes the refereed court cases of the seventeenth Australian convention on man made Intelligence, AI 2004, held in Cairns, Australia, in December 2004.

The seventy eight revised complete papers and sixty two revised brief papers provided have been conscientiously reviewed and chosen from 340 submissions. The papers are equipped in topical sections on brokers; biomedical functions; machine imaginative and prescient, picture processing, and trend acceptance; ontologies, wisdom discovery and knowledge mining; common language and speech processing; challenge fixing and reasoning; robotics; and gentle computing.

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Read or Download AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004. Proceedings PDF

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Additional info for AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004. Proceedings

Example text

For the current problem, obviously individuals that can robustly report damage to the portal in minimum time and with low communication costs will score highly. We define several such functions as follows. 34 J. Li, Y. Guo, and G. Poulton N M ⎧1 f1 = ∑∑ Si , j , Si , j = ⎨ i =1 j =1 ⎩0 if message reaches portal otherwise (1) Where f1 is the fitness value, N is repeat time for each individual in the GA, M is the number of neighbours for each event. This fitness function only judges whether the damage report has arrived at the portal or not.

The portal, which may be any agent in the network, is assumed to be capable of transferring the message to another part of the system which is capable of taking appropriate action. Critical damage is defined in this instance by the failure of an agent to respond to periodic status queries from a neighbour. Information about the location and severity of damage will not be reported in this initial trial, just the fact that critical damage has occurred. Time is of the essence for critical damage, so successful reporting in minimum time is the aim, over a wide variety of damage and environmental conditions.

Failure to respond (or a faultindicating response) will set a flag which, after consistency checks, results in the initiation of a critical damage report. (b) Normal reporting, where an agent transmits a message to one or more of its neighbours. • An agent has memory and can store data such as state, signals, IDs, logic, action lists, parameters, or programs. • An agent has the ability to perform calculations. • Each agent can become a portal, and the above resources must be sufficient to allow this.

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AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004. Proceedings by Seung-Ryong Yang, Jun-Ki Min, Sung-Bae Cho (auth.), Geoffrey I. Webb, Xinghuo Yu (eds.)


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