Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866912179387629568 |
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| author | Haluts, Amir Gorbonos, Dan Gov, Nir S. |
| author_facet | Haluts, Amir Gorbonos, Dan Gov, Nir S. |
| contents | Active particle systems of interacting self-propelled particles offer a versatile framework for modeling complex systems. When employed to describe aspects of animal behavior, the complexity of animal movement and decision-making often requires the use of unique types of effective interactions between the particles -- notably nonreciprocal effective forces that do not obey the usual conservation laws of Newtonian mechanics. Here we review two recent empirically-motivated models, of two very different types of animal behavior, where the behavior is described in terms of active particles which interact through nonreciprocal effective forces. The first model describes the dynamics of animal contests, wherein typically two rivals fight over a localized resource. The uniquely shaped effective potentials between the model's 'contestant particles' manifest the adversarial nature of contest interactions and capture the dynamical essence of contest behavior in space and time. The second model describes the stabilization of cohesive swarms through long-range and adaptive gravity-like attraction. This 'adaptive gravity' model explains the observed mass and velocity profiles of laboratory midge swarms. These examples demonstrate that theoretical models that use the framework of active particles to describe animal behavior can expand the scope of active-particle research, as well as explain complex phenomena in animal behavior. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_14850 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions Haluts, Amir Gorbonos, Dan Gov, Nir S. Biological Physics Statistical Mechanics Adaptation and Self-Organizing Systems Active particle systems of interacting self-propelled particles offer a versatile framework for modeling complex systems. When employed to describe aspects of animal behavior, the complexity of animal movement and decision-making often requires the use of unique types of effective interactions between the particles -- notably nonreciprocal effective forces that do not obey the usual conservation laws of Newtonian mechanics. Here we review two recent empirically-motivated models, of two very different types of animal behavior, where the behavior is described in terms of active particles which interact through nonreciprocal effective forces. The first model describes the dynamics of animal contests, wherein typically two rivals fight over a localized resource. The uniquely shaped effective potentials between the model's 'contestant particles' manifest the adversarial nature of contest interactions and capture the dynamical essence of contest behavior in space and time. The second model describes the stabilization of cohesive swarms through long-range and adaptive gravity-like attraction. This 'adaptive gravity' model explains the observed mass and velocity profiles of laboratory midge swarms. These examples demonstrate that theoretical models that use the framework of active particles to describe animal behavior can expand the scope of active-particle research, as well as explain complex phenomena in animal behavior. |
| title | Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions |
| topic | Biological Physics Statistical Mechanics Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2401.14850 |