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International Journal of Agent Technologies and Systems (IJATS) Volume 7, Issue 1

Book Description

The International Journal of Agent Technologies and Systems (IJATS) focuses on all aspects of agents and multi-agent systems, with a particular emphasis on how to modify established learning techniques and create new learning paradigms to address the many challenges presented by complex real-world problems. The journal serves as an inclusive forum for discussion of theoretical and practical issues of intelligent agent technologies and multi-agent systems while bringing together scientists from different areas of computer science as well as researchers from various fields studying similar concepts.

This issue contains the following articles:

  • Simulation Based Design for Adaptive Multi-Agent Systems with the ADELFE Methodology
  • Simulation of Skulduggery in a Multi-Agent System
  • Integrating Multi-View Model and Agent Paradigm in the Supply Chain Design
  • Behavioral Modeling of Multi Agent System: High Level Petri Net Based Approach