Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive componen...
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...
We present the result of our work on use of genetic programming for evolving social behavior of agents situated in inherently cooperative environment. We use predators-prey pursuit...
In the multi-agent pathfinding problem, groups of agents need to plan paths between their respective start and goal locations in a given environment, usually a two-dimensional map...
Recently, we introduced Behavioural State Machines (BSM ), a novel programming framework for development of cognitive agents with Jazzyk, its associated programming language and in...