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Three case studies on the GasNet model in discrete domains
journal contribution
posted on 2023-06-07, 20:11 authored by Carmen L R Santos, Pedro P B de Oliveira, Phil HusbandsPhil Husbands, Celso R SouzaA new neural network model ¿ the GasNet ¿ has been recently reported in the literature, which, in addition to the traditional electric type, point-to-point communication between units, also uses communication through a diffulsable chemical modulator. Here we assess the applicability of this model in three different scenarios, the XOR problem, a food gathering task for a simulated robot, and a docking task for a virtual spaceship. All of them represent discrete domains, a contrast with the one where the GasNet was originally introduced, which had an essentially continuous nature. These scenarios are well-known benchmark problems from the literature and, since they exhibit varying degrees of complexity, they impose distinct performance demands on the GasNet. The experiments were primarily intended to better understand the model, by extending the original problem domain where GasNet was introduced. The results reported point at some difficulties with the current GasNet model.
History
Publication status
- Published
Journal
International Journal of Neural SystemsISSN
0129-0657External DOI
Issue
3Volume
11Page range
295-304Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes