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Adaptive Behavior
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Layered Control Architectures in Robots and Vertebrates

Tony J. Prescott

University of Sheffield, UK

Peter Redgrave

University of Sheffield, UK

Kevin Gurney

University of Sheffield, UK

We revieiv recent research in robotics, neuroscience, evolutionary neurobiology, and ethology with the aim of highlighting some points of agreement and convergence. Specifically, we com pare Brooks' (1986) subsumption architecture for robot control with research in neuroscience demonstrating layered control systems in vertebrate brains, and with research in ethology that emphasizes the decomposition of control into multiple, intertwined behavior systems. From this perspective we then describe interesting parallels between the subsumption architecture and the natural layered behavior system that determines defense reactions in the rat. We then consider the action selection problem for robots and vertebrates and argue that, in addition to subsumption- like conflict resolution mechanisms, the vertebrate nervous system employs specialized selection mechanisms located in a group of central brain structures termed the basal ganglia. We suggest that similar specialized switching mechanisms might be employed in layered robot control archi tectures to provide effective and flexible action selection.

Key Words: subsumption architecture • brain evolution • behavior systems • defense system • action selection • basal ganglia.

Adaptive Behavior, Vol. 7, No. 1, 99-127 (1999)
DOI: 10.1177/105971239900700105
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