Evolution and co-evolution of computer programs to control independently-acting agents
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Acoustic startle: a adaptive behavioral act in flying insects
Proceedings of the workshop on "Locomotion Control in Legged Invertebrates" on Biological neural networks in invertebrate neuroethology and robotics
Simulations of cockroach locomotion and escape
Proceedings of the workshop on "Locomotion Control in Legged Invertebrates" on Biological neural networks in invertebrate neuroethology and robotics
Protean behavior in dynamic games: arguments for the co-evolution of pursuit-evasion tactics
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Robot shaping: developing autonomous agents through learning
Artificial Intelligence
Coevolving communicative behavior in a linear pursuer-evadergame
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Evolution of protean behavior in pursuit-evasion contests
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Layered control architectures in robots and vertebrates
Adaptive Behavior
Understanding intelligence
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
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In nature animals going about their daily routine need to avoid predators in order to survive. Many animals have evolved some kind of startle response, which enables them to escape from dangerous situations. As robots are requiredto operate in more hostile environments, mechanisms analogous to startle responses may be critical to building robust systems. This paper presents some preliminary work exploring (1) how some reactive evasive behaviours can be added to an agent operating in a hostile environment, and(2) how evasive measures can be integratedwith the agent's other activities.