Self-Organized Construction by Minimal Surprise
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866914785319190528 |
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| author | Kaiser, Tanja Katharina Hamann, Heiko |
| author_facet | Kaiser, Tanja Katharina Hamann, Heiko |
| contents | For the robots to achieve a desired behavior, we can program them directly, train them, or give them an innate driver that makes the robots themselves desire the targeted behavior. With the minimal surprise approach, we implant in our robots the desire to make their world predictable. Here, we apply minimal surprise to collective construction. Simulated robots push blocks in a 2D torus grid world. In two variants of our experiment we either allow for emergent behaviors or predefine the expected environment of the robots. In either way, we evolve robot behaviors that move blocks to structure their environment and make it more predictable. The resulting controllers can be applied in collective construction by robots. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_02980 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Self-Organized Construction by Minimal Surprise Kaiser, Tanja Katharina Hamann, Heiko Robotics Multiagent Systems Neural and Evolutionary Computing For the robots to achieve a desired behavior, we can program them directly, train them, or give them an innate driver that makes the robots themselves desire the targeted behavior. With the minimal surprise approach, we implant in our robots the desire to make their world predictable. Here, we apply minimal surprise to collective construction. Simulated robots push blocks in a 2D torus grid world. In two variants of our experiment we either allow for emergent behaviors or predefine the expected environment of the robots. In either way, we evolve robot behaviors that move blocks to structure their environment and make it more predictable. The resulting controllers can be applied in collective construction by robots. |
| title | Self-Organized Construction by Minimal Surprise |
| topic | Robotics Multiagent Systems Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2405.02980 |