Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Steps for proper simulation project management
WSC '95 Proceedings of the 27th conference on Winter simulation
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Agent-based simulation and greenhouse gas emissions trading
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Agent models II: dynamic path-planning for search and destroy missions -- the Bay of Biscay scenario
Proceedings of the 35th conference on Winter simulation: driving innovation
Agent models II: Bay of Biscay: extensions into modern military issues
Proceedings of the 35th conference on Winter simulation: driving innovation
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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The simulative agent system is going to be capable of independent collection of information required for construction of a simulation model, monitoring and constant data updating, deciding on the necessity of building new updated simulation models, applying changes to data (based on results of a conducted simulation) into class ERP and PDM systems. In this way will be achieved - apart from faster model construction - an increase in reality reproduction precision, in comparison to simulation models built with traditional methods.