Intelligent Agents in Co-Evolving Knowledge Networks

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Evolving intelligent game-playing agents

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Intelligent Agents in Telecommunication Networks

Adaptive agents on evolving networks

In this work we study the learning dynamics for agents playing games on networks. We propose a model of network formation in repeated games where players strategically adopt actions and connections simultaneously using a reinforcement learning scheme which is called Boltzmann-Q-learning. This adaptation scheme in the continuous time limit has a proven relation to the evolutionary game theory th...

Using Intelligent Agents in Wireless Sensor Networks

Intelligent agents can be used as a valuable asset when deployed within a wireless sensor network. Wireless sensor networks have a number of limitations, which need to be addressed before creating successful agents. These limitations include issues with energy conservation, mitigating resource limitations and wireless link availability to name a few. Middleware software can be used to overcome ...