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Using a net to catch a mate: Evolving CTRNNs for the Dowry Problem
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posted on 2023-06-08, 00:16 authored by Elio Tuci, Inman HarveyInman Harvey, Peter M ToddChoosing 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.
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Publication status
- Published
Publisher
MIT PressPages
11.0Presentation Type
- paper
Event name
From Animals to Animats: 7th International Conference on Simulation of Adaptive Behavior (Complex Adaptive Systems)Event location
Edinburgh, UKEvent type
conferenceISBN
0262582171Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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