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Evolution of Collective Behaviors by Minimizing Surprise
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hamann, Heiko |
| Copyright Year | 2014 |
| Abstract | Similarly to evolving controllers for single robots also controllers for groups of robots can be generated by applying evolutionary algorithms. Usually a fitness function rewards desired behavioral features. Here we investigate an alternative method that generates collective behaviors almost only as a by-product. We roughly follow the idea of Helmholtz that perception is a process based on probabilistic inference and evolve an internal model that is supposed to predict the agent’s future perceptions. Separated from this prediction model the agent also evolves a regular controller. Direct selective pressure, however, is only effective on the prediction model by minimizing prediction error (surprise). Our results show that a number of basic collective behaviors emerge by this approach, such as dispersion, aggregation, and flocking. The probability that a certain behavior emerges and also the difficulty of making correct predictions depends on the swarm density. The reported method has potential to be another simple approach to open-ended evolution analogical to the search for novelty. |
| Starting Page | 344 |
| Ending Page | 351 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.7551/978-0-262-32621-6-ch055 |
| Alternate Webpage(s) | http://mitpress.mit.edu/sites/default/files/titles/content/alife14/978-0-262-32621-6-ch055.pdf |
| Alternate Webpage(s) | https://mitpress.mit.edu/sites/default/files/titles/content/alife14/978-0-262-32621-6-ch055.pdf |
| Alternate Webpage(s) | http://heikohamann.de/pub/hamannAlife14.pdf |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Heiko_Hamann/publication/264907322_Evolution_of_Collective_Behaviors_by_Minimizing_Surprise/links/542451fd0cf26120b7a73b66.pdf |
| Alternate Webpage(s) | https://doi.org/10.7551/978-0-262-32621-6-ch055 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |