Artificial Intelligence for Advanced Problem Solving by Dimitris Vrakas

By Dimitris Vrakas

Probably the most vital capabilities of synthetic intelligence, computerized challenge fixing, is composed frequently of the improvement of software program platforms designed to discover ideas to difficulties. those platforms make the most of a seek area and algorithms so that it will succeed in an answer.
Artificial Intelligence for complex challenge fixing Techniques deals students and practitioners state-of-the-art examine on algorithms and strategies resembling seek, area self sustaining heuristics, scheduling, constraint pride, optimization, configuration, and making plans, and highlights the connection among the quest different types and a few of the methods a selected software might be modeled and solved utilizing complicated challenge fixing recommendations.

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2004). Balancing coordination and synchronization cost in cooperative situated multi-agent systems with imperfect communication. In Proceedings of the 16th(XURSHDQ&RQIHUHQFHRQ$UWL¿FLDOLQWHOligence (pp. 68-73). , & Fabiani, P. (2006). Autonomous search and rescue rotorcraft mission stochastic planning with generic DBNs. In M. ), International federation for information processing (p. 217), $UWL¿FLDOLQWHOligence in theory and practice (pp. 483-492). Boston, MA: Springer. , & Chen, X. (1999).

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