Resource ephemerality influences effectiveness of altruistic behavior in collective foraging

Autor: Pieter Simoens, Johannes Nauta, Yara Khaluf

Publikováno v: Swarm Intelligence. 15:427-457

In collective foraging, interactions between conspecifics can be exploited to increase foraging efficiencies. Many collective systems exhibit short interaction ranges, making information about patches rich in resources only locally available. In envi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04bc7f4ff47438d70199c7a545140d97
https://doi.org/10.1007/s11721-021-00205-6

Group size and resource fractality drive multimodal search strategies : A quantitative analysis on group foraging

Autor: Yara Khaluf, Pieter Simoens, Johannes Nauta

Publikováno v: Physica A: Statistical Mechanics and its Applications 590 (2022)
Physica A: Statistical Mechanics and its Applications, 590

Foragers within a group might increase individual foraging efficiencies by using public information to assess local resource availability. This information is often expressed as a change in behavior at resource encounters, which can be detected by ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153b9dd6f8682a18d22160cc523f14e3
https://research.wur.nl/en/publications/group-size-and-resource-fractality-drive-multimodal-search-strate

Learning Perception and Planning With Deep Active Inference

Autor: Johannes Nauta, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Publikováno v: ICASSP
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Active inference is a process theory of the brain that states that all living organisms infer actions in order to minimize their (expected) free energy. However, current experiments are limited to predefined, often discrete, state spaces. In this pap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1599349e3892ef43111ee865efe8ae8
https://doi.org/10.1109/icassp40776.2020.9054364

Hybrid foraging in patchy environments using spatial memory

Autor: Johannes Nauta, Pieter Simoens, Yara Khaluf

Publikováno v: Journal of the Royal Society, Interface 17 (2020) 166
Journal of the Royal Society, Interface, 17(166)
J R Soc Interface

Efficient random searches are essential to the survival of foragers searching for sparsely distributed targets. Lévy walks have been found to optimize the search over a wide range of constraints. When targets are distributed within patches, generati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a91f07357c1f6538dee910fba0d34d3
https://doi.org/10.1098/rsif.2020.0026

Using the Ornstein-Uhlenbeck process for random exploration

Autor: Yara Khaluf, Johannes Nauta, Pieter Simoens

Publikováno v: Scopus-Elsevier
COMPLEXIS
COMPLEXIS 2019-Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk
Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2019)
COMPLEXIS 2019-Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk. SciTePress

In model-based Reinforcement Learning, an agent aims to learn a transition model between attainable states. Since the agent initially has zero knowledge of the transition model, it needs to resort to random exploration in order to learn the model. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12fd9ebf0732df277ae19f75af28d4b1
http://www.scopus.com/inward/record.url?eid=2-s2.0-85067497245&partnerID=MN8TOARS