WEKO3
Item
Decomposing Predictive Information in Social Dynamics
https://doi.org/10.15102/0002000970
https://doi.org/10.15102/0002000970d4a3a686-e76c-4d0a-86ca-f7d48d70a2bc
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KawanoAkiraFulltext.pdf (15.7 MB)
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KawanoAkiraExamAbstract.pdf (48 KB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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| PubDate | 2025-09-04 | |||||||
| Title | ||||||||
| Title | 情報の流れに基づく社会行動の定量的解析 | |||||||
| Language | ja | |||||||
| Title | ||||||||
| Title | Decomposing Predictive Information in Social Dynamics | |||||||
| Language | en | |||||||
| Language | ||||||||
| Language | eng | |||||||
| Resource Type | ||||||||
| Resource Type Identifier | http://purl.org/coar/resource_type/c_db06 | |||||||
| Resource Type | doctoral thesis | |||||||
| Identifier Registration | ||||||||
| Identifier Registration | 10.15102/0002000970 | |||||||
| Identifier Registration Type | JaLC | |||||||
| Access Right | ||||||||
| Access Rights | open access | |||||||
| Access Rights URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| Author |
河野 輝
× 河野 輝
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| Author |
Kawano, Akira
× Kawano, Akira
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| Abstract | ||||||||
| Description Type | Abstract | |||||||
| Description | Social behaviors include some of the most interesting interactions in living systems yet their principled characterization remains unsolved. Here, we explore quantitative abstractions of social dynamics in the context of two male zebrafish engaged in a dominance contest. First, we modeled interactions between individuals based on information theory by adapting partial information decomposition to dissect the information between the contestants’ past and future movements using their 3D velocities. At the end of the contest, we find asymmetries between contestants in redundant, synergistic, and unique information indicative of the emergent dominance relationship. We further applied this approach to mecp2 zebrafish mutants, an autism model, we find that predictive information is reduced overall, but especially for synergistic flows, which is indicative of difficulties in more complex social dynamics. Second, we modeled the joint behavior of the two agents as a single dynamical system and applied transfer operator analysis to extract long-lived predictive structures. This analysis revealed non-stationarity even within the fight phase, influencing a structure associated with a key contest strategy: the escalation of attacks by the future loser. Finally, we discuss how social dynamics can be broadly modeled as a process of mutual prediction between organisms, linking social behavior to communication. | |||||||
| Language | en | |||||||
| Exam Date | ||||||||
| 2025-08-05 | ||||||||
| Degree Conferral Date | ||||||||
| Date Granted | 2025-08-31 | |||||||
| Degree | ||||||||
| Degree Name | Doctor of Philosophy | |||||||
| Degree Referral Number | ||||||||
| Dissertation Number | 甲第201号 | |||||||
| Degree Conferrral Institution | ||||||||
| Degree Grantor Name Identifier Scheme | kakenhi | |||||||
| Degree Grantor Name Identifier | 38005 | |||||||
| Degree Grantor Name | Okinawa Institute of Science and Technology Graduate University | |||||||
| Version Format | ||||||||
| Version Type | VoR | |||||||
| Version Type Resource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
| Copyright Information | ||||||||
| Rights | © 2025 The Author. | |||||||
