國立虎尾科技大學 |

A Novel Approach to Study Task Organization in Animal Groups.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Novel Approach to Study Task Organization in Animal Groups./
作者:	Udiani, Oyita.
面頁冊數:	1 online resource (160 pages)
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:	click for full text (PQDT)
ISBN:	9781369408423

A Novel Approach to Study Task Organization in Animal Groups.
Udiani, Oyita.

A Novel Approach to Study Task Organization in Animal Groups. - 1 online resource (160 pages)

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369408423Subjects--Topical Terms:

1069907
Applied mathematics.
Index Terms--Genre/Form:

554714
Electronic books.

A Novel Approach to Study Task Organization in Animal Groups.
LDR:03209ntm a2200373Ki 4500 001 909669
005 20180426091043.5
006 m o u
007 cr mn||||a|a||
008 190606s2016 xx obm 000 0 eng d
020 $a 9781369408423
035 $a (MiAaPQ)AAI10246072
035 $a (MiAaPQ)asu:16647
035 $a AAI10246072
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Udiani, Oyita. $3 1180562
245 1 2 $a A Novel Approach to Study Task Organization in Animal Groups.
264 0 $c 2016
300 $a 1 online resource (160 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
500 $a Advisers: Yun Kang; Jennifer H. Fewell.
502 $a Thesis (Ph.D.) $c Arizona State University $d 2016.
504 $a Includes bibliographical references
520 $a 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.
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Applied mathematics. $3 1069907
650 4 $a Biology. $3 599573
650 4 $a Ecology. $3 575279
655 7 $a Electronic books. $2 local $3 554714
690 $a 0364
690 $a 0306
690 $a 0329
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Arizona State University. $b Applied Mathematics for the Life and Social Sciences. $3 1180563
773 0 $t Dissertation Abstracts International $g 78-06B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10246072 $z click for full text (PQDT)