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Researcher
Johannes Nauta
- Disciplines:Machine learning and decision making, Modelling and simulation, Adaptive agents and intelligent robotics
Affiliations
- Department of Information technology (Department)
Member
From11 Dec 2017 → 25 Sep 2022
Publications
1 - 10 of 12
- The interplay between resource distributions and optimal foraging behavior : from individuals to populations(2022)
Authors: Johannes Nauta
- Foraging behaviour and patch size distribution jointly determine population dynamics in fragmented landscapes(2022)
Authors: Johannes Nauta, Pieter Simoens, Yara Khaluf, Ricardo Martinez-Garcia
- Group size and resource fractality drive multimodal search strategies : a quantitative analysis on group foraging(2022)
Authors: Johannes Nauta, Pieter Simoens, Yara Khaluf
- Resource ephemerality influences effectiveness of altruistic behavior in collective foraging(2021)
Authors: Johannes Nauta, Yara Khaluf, Pieter Simoens
Pages: 427 - 457 - Modeling the influence of social feedback on altruism using multi-agent systems(2020)
Authors: Ilja Rausch, Johannes Nauta, Pieter Simoens, Yara Khaluf
Pages: 727 - 735 - Memory induced aggregation in collective foraging(2020)
Authors: Johannes Nauta, Pieter Simoens, Yara Khaluf
Pages: 176 - 189 - Learning perception and planning with deep active inference(2020)
Authors: Ozan Catal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
Pages: 3952 - 3956 - Hybrid foraging in patchy environments using spatial memory(2020)
Authors: Johannes Nauta, Yara Khaluf, Pieter Simoens
- Enhanced foraging in robot swarms using collective Lévy walks(2020)Volume: 325
Authors: Johannes Nauta, Stef Van Havermaet, Pieter Simoens, Yara Khaluf, G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarín, et al.
Pages: 171 - 178 - Using the Ornstein-Uhlenbeck process for random exploration(2019)
Authors: Johannes Nauta, Yara Khaluf, Pieter Simoens
Pages: 59 - 66