Simulation and Visualization of Anticipatory Alife Agents

This paper presents our approach in design, simulation and visualization in the field of anticipation and ALife agents. Anticipation occurs in all spheres of life. Nature evolves in a continuous anticipatory fashion targeted at survival. A conscious reaction takes too long to process. Motivation mechanisms in learning, the arts, and all types of research are dominated by the principle that an expected future state controls present action. Under anticipation in ALife domain we understand more that prediction or estimation of the future states. Anticipation takes the information from prediction or estimation as an input in order to perform reasoning, learning and planning. Several anticipatory architectures have been proposed, implemented and tested in the designed simulation environment. A part of visualization is targeted on simulation world itself and the agents that are living in it. Another part is concerned about analysis of parameters and properties of simulation in time.