Conference Paper

Contract Enactment in Virtual Organizations: A Commitment-Based Approach.

Conference: Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA
Source: DBLP

ABSTRACT A virtual organization (VO) isa dynamic collection of entities (individuals, enterprises, and information resources) collabo- rating on some computational activity. VOs are an emerging means to model, enact, and manage large-scale computations. VOs consist of autonomous, heterogeneous members, often dynamic exhibiting complex behaviors. Thus, VOs are best modeled via multiagent systems. An agent can be an indi- vidual such as a person, business partner, or a resource. An agent may also be a VO. A VO is an agent that comprises other agents. Contracts provide a natural arms-length abstraction for mod- eling interaction among autonomous and heterogeneous agents. The interplay of contracts and VOs is the subject of this paper. The core of this paper is an approach to formalize VOs and contracts based on commitments. Our main contributions are (1) a formalization of VOs, (2) a discussion of certain key properties of VOs, and (3) an iden- tification of a variety of VO structures and an analysis of how they support contract enactment. We evaluate our approach with an analysis of several scenarios involving the handling of exceptions and conflicts in contracts.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Research in the area of Multi-Agent System (MAS) organization has shown that the ability for a MAS to adapt its organizational structure can be beneficial when coping with dynamics and uncertainty in the MASs environment. Different types of reorganization exist, such as changing relations and interaction patterns between agents, changing agent roles and changing the coordination style in the MAS. In this paper we propose a framework for agent Coordination and Reorganization (AgentCoRe) that incorporates each of these aspects of reorganization. We describe both declarative and procedural knowledge an agent uses to decompose and assign tasks, and to reorganize. The RoboCupRescue simulation environment is used to demonstrate how AgentCoRe is used to build a MAS that is capable of reorganizing itself by changing relations, interaction patterns and agent roles.
    Coordination, Organizations, Institutions, and Norms in Agent Systems III, COIN 2007, International Workshops COIN@AAMAS 2007, Honolulu, HI, USA, May 14, 2007, COIN@MALLOW 2007, Durham, UK, September 3-4, 2007, Revised Selected Papers; 01/2007
  • International Journal of Cooperative Information Systems 09/2011; 20(3):221-259. DOI:10.1142/S0218843011002237 · 0.23 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents an agent-based framework for modeling and deploying Business-to-Business (B2B) applications, where autonomous agents act on behalf of the individual components that form these applications. This framework consists of three levels identified by strategic, application, and resource, with focus in this paper on the first two levels. The strategic level is about the common vision that independent businesses define as part of their decision of partnership. The application level is about the business processes that get virtually combined as result of this common vision. As conflicts are bound to arise among the independent applications/agents, the framework uses a formal model based on computational argumentation theory through a persuasion protocol to detect and resolve these conflicts. In this protocol, agents reason about partial information using partial arguments, partial attack, and partial acceptability. Agents can then jointly find arguments that support a new solution for their conflicts, which is not known by any of them individually. Termination, soundness, and completeness properties of this protocol are provided. Distributed and centralized coordination strategies are also supported in this framework, which is illustrated with an online-purchasing example.
    Knowledge-Based Systems 10/2010; DOI:10.1016/j.knosys.2010.01.005 · 3.06 Impact Factor


Available from