The society of mind
Unified theories of cognition
Intelligence without representation
Artificial Intelligence
Schemas for prey-catching in frog and toad
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Dynamic aspects in active vision
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Intelligent behaviour in animals and robots
Intelligent behaviour in animals and robots
A conversation with Marvin Minsky about agents
Communications of the ACM
An architecture for adaptive intelligent systems
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Adaptive Behavior - Special issue on computational neuroethology
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Learning in Multi-Robot Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
An agent of behaviour architecture for unmanned control of a farming vehicle
Computers and Electronics in Agriculture
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Present work addresses the guidelines that have been followed toconstruct basic behavioral agents for visually guided navigation within theframework of a hierarchical architecture. Visual and motor interactions aredescribed within this generic framework that allows for an incrementaldevelopment of behavior from an initial basis set. Basic locomotion agentsas, Stop&Backward, Avoid, and Forward are implemented by means of fuzzyknowledge bases to deal with the uncertainty and imprecision inherent toreal systems and environments. Basic visual agents as, Saccadic,Find_Contour, and Center are raised under a space-variantrepresentation pursuing an anthropomorphic approach. We illustrate how acomplex behavior results from the combination of lower level agents alwaysconnected to the basic motor agents. The proposed methodology is validatedon a caterpillar mobile robot in navigation tasks directed by an objectdescription.