Michael T. Cox
To construct a perpetual self-aware cognitive agent that can continuously operate with independence, an introspective machine must be produced. To assemble such a agent, it is necessary to perform a full integration of cognition (planning, understanding, and learning) and metacognition (control and monitoring of cognition) with intelligent behaviors. The failure to do this completely is why similar more limited efforts have not succeeded in the past. As a start toward this goal, I performed an integration of an introspective multistrategy learning system with a nonlinear state-space planning agent using the wumpus world as environment. In this integration I show how the resultant system I call INTRO can generate its own goals. I use this system to discuss issues of self-awareness by machine.