Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910718658347008 |
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| author | Cathcart, Charlotte Belaustegui, Ian Xul Franci, Alessio Leonard, Naomi Ehrich |
| author_facet | Cathcart, Charlotte Belaustegui, Ian Xul Franci, Alessio Leonard, Naomi Ehrich |
| contents | We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_12317 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making Cathcart, Charlotte Belaustegui, Ian Xul Franci, Alessio Leonard, Naomi Ehrich Systems and Control We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers. |
| title | Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2409.12317 |