Tuci, Elio, Harvey, Inman and Todd, Peter M (2002) Using a net to catch a mate: Evolving CTRNNs for the Dowry Problem. In: From Animals to Animats: 7th International Conference on Simulation of Adaptive Behavior (Complex Adaptive Systems), Edinburgh, UK.
Full text not available from this repository.Abstract
Choosing one option from a sequence of possibilities seen one at a time is a common problem facing agents whenever resources, such as mates or habitats, are distributed in time or space. Optimal algorithms have been developed for solving a form of this sequential search task known as the Dowry Problem (finding the highest dowry in a sequence of 100 values); here we explore whether continuous time recurrent neural networks (CTRNNs) can be evolved to perform adaptively in Dowry Problem scenarios, as an example of minimally cognitive behavior [Beer, 1996]. We show that even a 4-neuron CTRNN can successfully solve this sequential search problem, and we offer some initial analysis of how they can achieve this feat.
Item Type: | Conference or Workshop Item (Paper) |
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Schools and Departments: | School of Engineering and Informatics > Informatics |
Depositing User: | Inman Harvey |
Date Deposited: | 06 Feb 2012 19:51 |
Last Modified: | 13 Apr 2012 09:47 |
URI: | http://sro.sussex.ac.uk/id/eprint/22560 |