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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 Souza
A 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 Systems

ISSN

0129-0657

Issue

3

Volume

11

Page range

295-304

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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