Multi Agent System

We develop and apply several novel methods quantifying dynamic multi-agent team interactions. These interactions are detected information-theoretically and captured in two ways: via (i) directed networks (interaction diagrams) representing significant coupled dynamics between pairs of agents, and (ii) state-space plots (coherence diagrams) showing coherent structures in Shannon information dynamics. This model-free analysis relates, on the one hand, the information transfer to responsiveness of the agents and the team, and, on the other hand, the information storage within the team to the teamʼs rigidity and lack of tactical flexibility. The resultant interaction and coherence diagrams reveal implicit interactions, across teams, that may be spatially long-range. The analysis was verified with a statistically significant number of experiments (using simulated football games, produced during RoboCup 2D Simulation League matches), identifying the zones of the most intense competition, the extent and types of interactions, and the correlation between the strength of specific interactions and the results of the matches.

Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain competitive researchers attempt to design an adaptive control system which optimizes the process, but also able to adapt to rapidly evolving demands at a fixed cost. In this paper, we present a multi-agent approach for the dynamic task scheduling in petroleum industry production system. Agents simultaneously insure effective production scheduling and the continuous improvement of the solution quality by means of reinforcement learning, using the SARSA algorithm. Reinforcement learning allows the agents to adapt, learning the best behaviors for their various roles without reducing the performance or reactivity. To demonstrate the innovation of our approach, we include a computer simulation of our model and the results of experimentation applying our model to an Algerian petroleum refinery.

This paper describes the application of an organic programming language Gaea in programming complex and flexible multi-agent systems. We consider a soccer game as an example. Using organic programming, we can program soccer players in an extended version of a subsumption architecture, called a dynamic subsumption architecture, which is more flexible and efficient than the original one

Facing new and varied customer's needs, strategies of production have radically changed during these list three decades leading to a need for agile and, as a consequence, self-organized manufacturing control systems. One possible way to integrate self-organization capability is to move from rigid centralized architectures towards distributed architectures. In this paper, we present a state-of-the-art of self-organization models in distributed manufacturing control, according to the bionic, holonic, multi-agent and heterarchical design approaches. We show the potential capabilities offered by these approaches to integrate self-organization mechanisms. Meanwhile, we also point out the insufficiencies of existing contributions, which lead us to highlight some future trends in the design of effective self-organized manufacturing control systems.

A great deal of research and development effort has been undertaken in recent years to integrate otherwise disconnected manufacturing production and planning (P/E) application software systems so that the enterprises can react quickly and accurately to the ever changing market dynamics. In such an integrated P/E environment it is, at times, necessary to bring in a new application in order to replace an outmoded one or to provide functionality that is not available in the existing environment. The process of introducing a ...

Abstract This paper introduces a multi-agent framework for distributed multiplayer game development and simulations. The framework allows the incorporation and experimentation with different strategies of the Players, possibly including intelligent behaviors. The framework consists of a set of generic agent types that must be specialized and configured for a specific game. The framework uses a generic agent that enforces the rules of the game, as well as generic bot-agents that represent the game Players. To support our claims of ...

In this paper we explore the holonic enterprise as an example of the phenomenon of emergence. To conduct this exploration, we describe some of the development work now being carried out in the holonic enterprise field and examine anticipated near-future outcomes ...

The design of multi-agent systems is different from similar problems because the concept of agent involves the notions of autonomy and intelligence. As a consequence agent- based software engineering approaches must learn from classical design approaches but should go further introducing an explicit representation of the previous cited notions as well as of ontology, communications, mobility and other agents related