Goal-oriented behavior in autonomous systems

A discussion is given on how situation-driven autonomous systems can look ahead to resolve goal interactions and conflicts and to find a better way to achieve goals. Several lookahead schemes are examined implicitly in current autonomous systems. A rational reconstruction of a novel scheme in action selection dynamics is outlined for a better run-time planner to obtain goal-oriented behavior. It is shown that this reconstruction results in an action arbitration scheme having a more informative run-time lookahead for resolving goal interactions and conflicts without loss of its continual `replanning´ capability