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A Novel Approach to Study Task Organ...
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Udiani, Oyita.
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A Novel Approach to Study Task Organization in Animal Groups.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Novel Approach to Study Task Organization in Animal Groups./
作者:
Udiani, Oyita.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
160 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
Contained By:
Dissertation Abstracts International78-06B(E).
標題:
Applied mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10246072
ISBN:
9781369408423
A Novel Approach to Study Task Organization in Animal Groups.
Udiani, Oyita.
A Novel Approach to Study Task Organization in Animal Groups.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 160 p.
Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
Thesis (Ph.D.)--Arizona State University, 2016.
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.
ISBN: 9781369408423Subjects--Topical Terms:
2122814
Applied mathematics.
A Novel Approach to Study Task Organization in Animal Groups.
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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.
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In Chapters 2 and 3, I demonstrate how this approach provides novel insights into factors that shape the flexibility and robustness of task organization in harvester ant colonies (Pogonomyrmex barbatus). My results show that the degree to which colonies can respond to work in fluctuating environments depends on how individuals weigh the costs of activity and update their behavior in response to social information. In Chapter 4, I introduce a mathematical framework to study the emergence of collective organization in heterogenous groups. My approach, which is based on the theory of multi-agent systems, focuses on myopic agents whose behavior emerges out of an independent valuation of alternative choices in a given work environment. The product of this dynamic is an equilibrium organization in which agents perform different tasks (or abstain from work) with an analytically defined set of threshold probabilities. The framework is minimally developed, but can be extended to include other factors known to affect task decisions including individual experience and social facilitation. This research contributes a novel approach to developing (and analyzing) models of task organization that can be applied in a broader range of contexts where animals cooperate.
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