Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design

Distributed Interactive Learning in Multi-Agent Systems

Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily involve the participation of other agents directly in the inductive process itself. Instead, many systems frequently employ multiple instances of induction separately, or singleagent learning. In this paper we present ...

Extending Multi − Agent Cooperation

This report has been submitted forr publication outside of ITC and will probably be copyrighted if accepted for publication. It has been issued as a Technical Report forr early dissemination of its contents. In view of the transfert of copy right too the outside publisher, its distribution outside of ITC priorr to publication should be limited to peer communications and specificc requests. Afte...

Cooperation Protocol Design Method for Repository-Based Multi-Agent Applications

This paper proposes a cooperation protocol design method for repository-based multi-agent systems. The proposal aims to improve the efficiency of multi-agent system development by introducing reusable protocol templates. To achieve the decoupling of protocol templates and application domain processes, original protocol template representations are proposed. Moreover, a graphical design tool wit...

Learning, Cooperation, and Coordination in Multi-Agent Systems

Cooperation in Multi-Agent Systems Using Learning Automata

Agents are software entities that act continuously and autonomously in a special environment. It is very essential for the agents to have the ability to learn how to act in the special environment for which they are designed to act in, to show reflexes to their environment actions, to choose their way and pursue it autonomously, and to be able to adapt and learn. In multi-agent systems, many in...