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Feniosky Peña-Mora. Craig, Mathias J. (Mathias Julien), 1978- Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering 2006-03-24T16:02:52Z 2006-03-24T16:02:52Z 2003 2003 http://hdl.handle.net/1721.1/29566 52725261 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. Includes bibliographical references (p. 137-141). Considerable research has focused on the development of single, autonomous vehicles - vehicles that are able to sustain themselves and achieve specific objectives, but that generally lack the ability to autonomously coordinate with other vehicles. As this research evolves into operational systems, a key challenge is to develop autonomous vehicles that can self-organize in order to collectively address a set of goals that could not be achieved by any one individual. This thesis develops a framework for an operational system called Autonomous Distributed Operations (ADO) and presents a design for self-organization within this framework. Self-organization is shown as an integration of five activities that include goal evaluation and adoption, organizational strategizing, goal decomposition and aggregation, organizational design, and finally, organization adoption. A detailed implementation of the fourth component - organizational design - is presented. A four-phase systems engineering methodology is developed for designing organizations by sequentially optimizing along multiple dimensions, which include boundary, size, structure, and membership. Algorithms that yield optimal solutions for each phase of the design methodology exist, but are not suitable for realistic scenarios, which are often characterized by large state spaces. Therefore, the design methodology is implemented using heuristic algorithms that trade optimality for problem tractability. Results of the design process are presented using a variety of goals and scenarios as inputs. The scenarios are intended to reflect situations commonly encountered in Military Operations in Urban Terrain. by Mathias J. Craig. S.M. 141 p. 5748290 bytes 5748096 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Civil and Environmental Engineering. A design for dynamic self-organization in autonomous distributed operations Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="432ea7b3-14c9-4a25-923a-a736545311ad"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A design for dynamic self-organization in autonomous distributed operations</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2003</PublicationDate> <Authors> <Author> <DisplayName>Craig, Mathias J. (Mathias Julien), 1978-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Civil and Environmental Engineering.</Keyword> <Abstract>Considerable research has focused on the development of single, autonomous vehicles - vehicles that are able to sustain themselves and achieve specific objectives, but that generally lack the ability to autonomously coordinate with other vehicles. As this research evolves into operational systems, a key challenge is to develop autonomous vehicles that can self-organize in order to collectively address a set of goals that could not be achieved by any one individual. This thesis develops a framework for an operational system called Autonomous Distributed Operations (ADO) and presents a design for self-organization within this framework. Self-organization is shown as an integration of five activities that include goal evaluation and adoption, organizational strategizing, goal decomposition and aggregation, organizational design, and finally, organization adoption. A detailed implementation of the fourth component - organizational design - is presented. A four-phase systems engineering methodology is developed for designing organizations by sequentially optimizing along multiple dimensions, which include boundary, size, structure, and membership. Algorithms that yield optimal solutions for each phase of the design methodology exist, but are not suitable for realistic scenarios, which are often characterized by large state spaces. Therefore, the design methodology is implemented using heuristic algorithms that trade optimality for problem tractability. Results of the design process are presented using a variety of goals and scenarios as inputs. The scenarios are intended to reflect situations commonly encountered in Military Operations in Urban Terrain.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>