multi-agent system

After working for years with multi-agent systems, you begin to see life in terms of those programs.

Jason is a platform for the development of multi-agent systems.

A very similar trend has recently characterized significant research in the area of multi-agent systems.

This became a highly cited paper in the multi-agent systems literature.

Also, game theory provides a theoretical basis to the field of multi-agent systems.

Bradshaw continued to pioneer the research areas of multi-agent systems.

"Head of a team to design multi-agent systems for an insurance company that's doing data mining.

Multi-agent systems are applied in the real world to graphical applications such as computer games.

The agents in a multi-agent system have several important characteristics:

In multi-agent system agent is represented by software program.

However, the agents in a multi-agent system could equally well be robots, humans or human teams.

There are many reasons for wanting to distribute intelligence or cope with multi-agent systems.

Agents, and multi-agent systems, are used as a metaphor to model complex distributed processes.

Multi-agent systems are specified in terms of individual agents and the environments with which they interact.

Interaction protocols are possible communication scenarios between individual agents in multi-agent systems.

In one embodiment, Collective intelligence operates via a multi-agent system.

However, as an emerging discipline, topological theory in multi-agent systems is inadequate.

Users can define the behaviors of multi-agent systems in a 3D world and observe how they interact.

If the individuals are autonomous and interact with each other, these models are called Multi-agent systems.

Multi-agent systems consist of agents and their environment.

It is difficult to use simple or regular agent network topology to describe an overall view of a large multi-agent system.

The competition originally focused on Logic programming of Multi-agent systems.

Typically multi-agent systems research refers to software agents.

It is more realistic than regular network in describing the real-world complex networks such as multi-agent systems.

The technological basis for this kind of test market is a multi-agent system as well as methods from artificial intelligence.