Multi Agent Systems for Artificial Life Domain
Ahmed Elmahalawy
Broschiertes Buch

Multi Agent Systems for Artificial Life Domain

Using Multi Agent system for modeling and simulation of the anticipation behavior and its application in real life domain

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In this work, I focus on the use of Anticipation in Multi Agent Systems (MAS), particularly on a preventive anticipation that consists of anticipating undesirable future situations in order to avoid them. In this thesis designed architecture is intended for intelligent autonomous agents that should behave in a complex Artificial Life (ALife) like environment. The primary motivation behind this research was to propose and integrate Anticipation Approaches in a designed simulator. I implemented 3 different types of Machine Learning Algorithms in my Anticipatory Agent System (Anticipator) to see ...