Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487013
Title: Evolutionary Robotics Simulation Models in the Study of Human Behaviour and Cognition
Author: Rohde, Marieke
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2008
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Abstract:
Simulation models are powerful scientific tools for embodied, behaviour-based, dynamical or enactive approaches in Cognitive Science that reject the traditional metaphor of the mind as a digital computer. However, simulation models in general and Evolutionary Robotics simulation models in particular are frequently deliberately minimal. If they are used in the study of human level cognition, there appears to bea gap between the simplicity of the model and the sophistication of the explanandum. This thesis presents a number of models developed to elucidate different problems in Cognitive Science and which exemplify the different scientific values that Evolutionary Robotics simulation models can have for the study of humaq intelligence and behaviour (i.e., hypothesis generation, proof of concept, verification and illustration beyond cognitive limits and intuitions). , Applying this simulation method to problems in motor control, neuroscientific theory, social contingency and time perception, it is argued that, in order to take part in explaining human behaviour and cognition, it is not necessary - or even desirable - to aspire a model that approximates human level complexity. Besides the results each of the models presented contributes to the research question it addresses, the main result from the work presented in this dissertation is the proposal of a new and interdisciplinary methodological framework. This framework combines Evolutionary Robotics simulation models and experiments in human sensorimotor adaptation, using the same minimal computer simulation in both the experiment and the model. The application of this method to the problem of adaptation to sensory delays and perceived simultaneity demonstrates its potential to explain the sensorimotor basis of perception in a bona fide enactive way.
Supervisor: Not available Sponsor: Not available
Qualification Name: University of Sussex, 2008 Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.487013  DOI: Not available
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