TY - GEN
T1 - A dynamic trust network for autonomy-oriented partner finding
AU - Qiu, Hongjun
AU - LIU, Jiming
AU - Zhong, Ning
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - The problem of finding partners is to identify which entities (agents) can provide requested services from a group of entities. It can be found in open and distributed environments for such tasks as file sharing and resource allocation. Previous studies have shown that entities can refine and determine partners through measuring trust relationships, i.e., the beliefs of entities that others will accomplish a request for assigned services at hand. Entities dynamically change their beliefs through recalling their past experiences in order to quickly identify partners for new requests. This paper aims to observe whether those changes can enable entities efficiently find partners and hence provide services. To this end, we propose a dynamic network of trust-based entities. Then, we investigate the dynamics of its structure and efficiency in the above-mentioned aspects. Autonomy-Oriented Computing (AOC) is applied to observe how the dynamics emerge from local behaviors. A notion of autonomy is embodied in defining how entities activate their partner finding behaviors, whereas self-organization is realized to update the strength of trust relationships. Experimental results explicitly display a dynamic process of this network, changing from containing no link (trust relationship) to having some stable links. Specially, in this process, the efficiency gradually gets enhanced.
AB - The problem of finding partners is to identify which entities (agents) can provide requested services from a group of entities. It can be found in open and distributed environments for such tasks as file sharing and resource allocation. Previous studies have shown that entities can refine and determine partners through measuring trust relationships, i.e., the beliefs of entities that others will accomplish a request for assigned services at hand. Entities dynamically change their beliefs through recalling their past experiences in order to quickly identify partners for new requests. This paper aims to observe whether those changes can enable entities efficiently find partners and hence provide services. To this end, we propose a dynamic network of trust-based entities. Then, we investigate the dynamics of its structure and efficiency in the above-mentioned aspects. Autonomy-Oriented Computing (AOC) is applied to observe how the dynamics emerge from local behaviors. A notion of autonomy is embodied in defining how entities activate their partner finding behaviors, whereas self-organization is realized to update the strength of trust relationships. Experimental results explicitly display a dynamic process of this network, changing from containing no link (trust relationship) to having some stable links. Specially, in this process, the efficiency gradually gets enhanced.
UR - http://www.scopus.com/inward/record.url?scp=77949593905&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04875-3_35
DO - 10.1007/978-3-642-04875-3_35
M3 - Conference proceeding
AN - SCOPUS:77949593905
SN - 9783642048746
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 323
EP - 334
BT - Active Media Technology - 5th International Conference, AMT 2009, Proceedings
T2 - 5th International Conference on Active Media Technology, AMT 2009
Y2 - 22 October 2009 through 24 October 2009
ER -