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A Novel Approach to Study Task Organization in Animal Groups

Abstract A key factor in the success of social animals is their organization of work. Mathematical models have been instrumental in unraveling how simple, individual-based rules can generate collective patterns via self-organization. However, existing models offer limited insights into how these patterns are shaped by behavioral differences within groups, in part because they focus on analyzing specific rules rather than general mechanisms that can explain behavior at the individual-level. My work argues for a more principled approach that focuses on the question of how individuals make decisions in costly environments.

In Chapters 2 and 3, I demonstrate how this approach provides novel insights into factors that shape the flexibility and robustnes... (more)
Created Date 2016
Contributor Udiani, Oyita Udiani (Author) / Kang, Yun (Advisor) / Fewell, Jennifer H (Advisor) / Janssen, Marcus A (Committee member) / Castillo-Chavez, Carlos (Committee member) / Arizona State University (Publisher)
Subject Applied mathematics / Biology / Ecology / Adaptive behavior / Cooperation / Division of labor / Reinforcement learning / Response-thresholds / Social dynamics
Type Doctoral Dissertation
Extent 160 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Applied Mathematics for the Life and Social Sciences 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis