This paper presents a biomimetic approach involving cognitive process modeling, for use in intelligent robot decisionmaking.
The principle of inner rehearsal, a process believed to occur in human and animal cognition, involves internal
rehearsing of actions prior to deciding on and executing an overt action, such as a motor action. The inner-rehearsal
algorithmic approach we developed is posed and investigated in the context of a relatively complex cognitive task, an
under-rubble search and rescue. The paper presents the approach developed, a synthetic environment which was also
developed to enable its studies, and the results to date. The work reported here is part of a Cognitive Robotics effort in
which we are currently engaged, focused on exploring techniques inspired by cognitive science and neuroscience
insights, towards artificial cognition for robotics and autonomous systems.