Conceptual model of web service reputation
ACM SIGMOD Record
A Cognitive Trust-Based Approach forWeb Service Discovery and Selection
ECOWS '05 Proceedings of the Third European Conference on Web Services
Towards Agent-Based Coalition Formation for Service Composition
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Coalition formation mechanism in multi-agent systems based on genetic algorithms
Applied Soft Computing
Reliable QoS monitoring based on client feedback
Proceedings of the 16th international conference on World Wide Web
An ontology, intelligent agent-based framework for the provision of semantic web services
Expert Systems with Applications: An International Journal
Emergent service provisioning and demand estimation through self-organizing agent communities
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
An Approach to Incentive-Based Reputation for Communities of Web Services
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Agent service matchmaking algorithm for autonomic element with semantic and QoS constraints
Knowledge-Based Systems
Analyzing Communities vs. Single Agent-Based Web Services: Trust Perspectives
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Verity: a QoS metric for selecting Web services and providers
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
An intelligent framework to manage robotic autonomous agents
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Game theoretical applications for multi-agent systems
Expert Systems with Applications: An International Journal
A trust-based game theoretical model for Web services collaboration
Knowledge-Based Systems
Towards verifying contract regulated service composition
Autonomous Agents and Multi-Agent Systems
Sequentially optimal repeated coalition formation under uncertainty
Autonomous Agents and Multi-Agent Systems
Empower service directories with knowledge
Knowledge-Based Systems
On the analysis of reputation for agent-based web services
Expert Systems with Applications: An International Journal
Directed graph-based multi-agent coalitional decision making
Knowledge-Based Systems
Analyzing Communities of Web Services Using Incentives
International Journal of Web Services Research
Hi-index | 12.05 |
In agent and (web) service computing, collaboration takes place when distributed entities have limited knowledge and capabilities, so they cannot perform required tasks without interacting and helping each other. For instance, web services, which are loosely-coupled business applications, are called to cooperate in distributed settings for the sake of efficiency. In this context, agents that abstract and act on behalf of web services could act in cooperative groups that gather a number of agents sharing some common goals. Enabling those agent-based web services to decide about their strategies in terms of joining and acting within groups, inviting other agents to join, and leaving a group to act alone is an open issue that we address in this work. In this paper, we propose a framework where agent-based web services select strategies that maximize their outcomes. These strategies could be categorized into cooperative strategies involving other agents and strategies that highlight the single operative attitude. Although cooperation seems to bring better utility to cooperative agents, we highlight that web services in some environments obtain better outcome while they act individually (i.e., outside the group). This means that the cost of cooperation (in some particular cases) might negatively influence the outcome and obtained utility. As solution, we propose in this paper (1) an agent-based model that formalizes web services decision making where different parameters are considered; and (2) a game-theoretic framework that analyzes the web services strategies allowing them to maximize their acting performance where non-zero-sum games are being used. The paper presents theoretical results, which are also confirmed through extensive simulations.