Intelligence without representation
Artificial Intelligence
Automatic programming of behavior-based robots using reinforcement learning
Artificial Intelligence
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Achieving rapid adaptations in robots by means of external tuition
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
An evaluation of Maes's bottom-up mechanism for behavior selection
Adaptive Behavior
Using emergent modularity to develop control systems for mobile robots
Adaptive Behavior - Special issue on environment structure and behavior
Adaptive Behavior
Design, observation, surprise! A test of emergence
Artificial Life
Multi-agent reinforcement learning: weighting and partitioning
Neural Networks
Robot Shaping: An Experiment in Behavior Engineering
Robot Shaping: An Experiment in Behavior Engineering
Multiagent Mission Specification and Execution
Autonomous Robots
Imitation in animals and artifacts
Integrating behavioral, perceptual, and world knowledge in reactive navigation
Robotics and Autonomous Systems
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This paper looks at the applicability of animal shaping techniques to promoting novel behaviors in robots and artificial creatures. Shaping techniques have long been used by psychologists and animal trainers to train flexible forms of behavior and to generate novel or original behaviors in animals. This paper examines several issues relating to the part played by behavior description and measurement in promoting flexibility or behavioral novelty using these shaping techniques. The issues considered include (i) the kinds of behavior scales employed in training response variability and novel behaviors and (ii) the explanations from animal psychology of the characteristics of response flexibility and novel behavior. The paper concludes with a discussion of how an appreciation of behavioral scaling issues might benefit robotics research.