Goal-Seeking Behavior in a Connectionist Model
Artificial Intelligence Review
Synthetic Approaches to Neurobiology: Review and Case Study in the Control of Anguiliform Locomotion
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Evolving Bipedal Locomotion with a Dynamically-Rearranging Neural Network
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Understanding the Agent's Brain: A Quantitative Approach
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Incremental Evolution of Autonomous Robots for a Complex Task
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Effect of Fitness for the Evolution of Autonomous Robots in an Open-Environment
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Localization of function in neurocontrollers
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Localization of function via lesion analysis
Neural Computation
Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots
Biologically inspired robot behavior engineering
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A stochastic evolutionary neuron migration process with emerged Hebbian dynamics
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents
Neural Computation
On the evolution of motility and intelligent tactic response
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Incremental Evolution of Animats' Behaviors as a Multi-objective Optimization
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
The sensitivity of HyperNEAT to different geometric representations of a problem
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Single step evolution of robot controllers for sequential tasks
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The effect of preadaptation epoch length on performance in an exaptive genetic algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolving modular neural-networks through exaptation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A developmental method for growing graphs and circuits
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Fitness Space Structure of a Neuromechanical System
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Evolved neurogenesis and synaptogenesis for robotic control: the L-brain model
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Incremental evolution of robot controllers for a highly integrated task
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Incremental evolution of target-following neuro-controllers for flapping-wing animats
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Encouraging behavioral diversity in evolutionary robotics: An empirical study
Evolutionary Computation
Behavioral repertoire learning in robotics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Single-unit pattern generators for quadruped locomotion
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Robotic behavior implementation using two different differential evolution variants
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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This paper describes how the SGOCE paradigm has been used to evolve developmental programs capable of generating recurrent neural networks that control the behavior of simulated insects. This paradigm is characterized by an encoding scheme, an evolutionary algorithm, syntactic constraints, and an incremental strategy that are described in turn. The additional use of an insect model equipped with six legs and two antennae made it possible to generate control modules that allowed it to successively add gradient-following and obstacle-avoidance capacities to walking behavior. The advantages of this evolutionary approach, together with directions for future work, are discussed