Integrating reactive, sequential, and learning behavior using dynamical neural networks
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
The Dynamics of Associative Learning in Evolved Model Circuits
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Monostable Controllers for Adaptive Behaviour
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
In Defense of the Abstracted Animat
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Extending sensorimotor contingency theory: prediction, planning, and action generation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
| Hi-index | 0.00 |
This paper investigates the processes used by an evolved, embodied simulated agent to adapt to large disruptive changes in its sensor morphology, whilst maintaining performance in a phototaxis task. By avoiding the imposition of separate mechanisms for the fast sensorimotor dynamics and the relatively slow adaptive processes, we are able to comment on the forms of adaptivity which emerge within our Evolutionary Robotics framework. This brings about interesting notions regarding the relationship between different timescales. We examine the dynamics of the network and find different reactive behaviours depending on the agent's current sensor configuration, but are only able to begin to explain the dynamics of the transitions between these states with reference to variables which exist in the agent's environment, as well as within its neural network 'brain'.