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We have presented a general architecture for autonomous agents that
integrates behavior-based architectures with traditional architectures for
symbolic systems. The architecture specifies how an agent establishes and
maintains a conscious connection with its environment while mostly
unconsciously processing sensory data, and filtering information for
conscious processing as well as for reflexive and reactive acting. We ended
our paper by instantiating the architecture with several (physical and
simulated) agents embedded in their environment, in various stages of
implementation. We believe our work can contribute towards integrating
traditional ungrounded symbol systems with the newer physically grounded
systems. Combining an elephant's body with a man's mind makes for an awesome combination.