Multi Agent Systems for Artificial Life Domain

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

LAP Lambert Academic Publishing ( 13.02.2010 )

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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 which one gives the most promising results. (Markov Chain, Neural Net and Genetics Programming). After I included an Adaptation Behaviour Block in my (NMAS) system - it has been solved an Adaptation Anticipatory Multi Agent System (A2MAS). Finally, I suggested a concrete approach to a communication among agents in a system Round Contract (RCont) based on principles of the FIPA Contract Net Protocol. In the end, I applied designed systems with anticipation in daily life applications. One of the most useful applications in this area is a Smart Home project especially for Power Management.

Kitap detayları:

ISBN-13:

978-3-8383-4590-1

ISBN-10:

3838345908

EAN:

9783838345901

Kitabın dili:

English

Yazar:

Ahmed Elmahalawy

Sayfa sayısı:

172

Yayın tarihi:

13.02.2010

Kategori:

Bilişim, BT