Construction and deconstruction of checkers game using ICE agent model

Human nature can be interpreted in many different ways by philosophy, cognitive and neuro-sciences, each of which has its own special merit and contribution to the reformation of mankind. Consciousness and experience are the most central aspects of our mental lives and key concepts in the science of mind. In this work, we propose a novel description of complex human behaviors and a new view of consciousness and experience arising from the evolution of a multi-dimensional world. In this world, agents continuously construct and deconstruct their own reality in order to learn and accomplish goals. Using ICE agent-based modeling, we build DICE, a new agent for learning games using evolutionary computation with Pareto-ranking. We evaluate DICE on Checkers game and show that it produces richer experiences than human players normally have with this game.