Ahmed Elmahalawy

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 172
• Erscheinungstermin: 13. Februar 2010
• Englisch
• Abmessung: 220mm x 150mm x 11mm
• Gewicht: 245g
• ISBN-13: 9783838345901
• ISBN-10: 3838345908
• Artikelnr.: 28995866

Autorenporträt

Ahmed M. Elmahalawy was born in Benha, Egypt and went to the Menoufia University. He had his BSc. degree in 1995 and his MSc. in 2001 and then worked as assistance lecture in Faculty of Electronic Engineering (FEE). He had his PhD degree from the Czech Technical University, department of Cybernetic in 2001. Now, he is a lecturer in FEE.