A Procedural Planning System for Goal Oriented Agents in Games
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Collective intelligence: toward classifying systems of systems
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Control network programming with SPIDER: dynamic search control
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Product-based workflow support
Information Systems
A new robust digital watermarking algorithm based on genetic algorithms and neural networks
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
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This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.