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: Networked enterprise (NE) is an organization of independent companies that collaborate with each other temporary or permanently for accomplishing common goals. The USA and EU have been developing principal concepts, techniques, and solutions to enhance the competitiveness of traditional industries including small-and-medium enterprises (SMEs). In Korea, however, implementation as well as R&D of NE is very few, which we believe comes from lack of understanding on Its meaning and lack of effective information systems for it. This paper is to suggest an Enterprise Architecture (EA) framework or reference model of NE and an Information Technology Architecture (ITA) of NE. The EA framework will help stakeholder of NE (e,g., policy makers, members of NE, IT solution providers, and researchers) understand structural and behavioral characteristics of NE. The ITA will be used as a guideline of developing information systems for NE that is essential for spreading networked business models, The focus of this paper is not on logical-level design but on conceptual-level modeling of NE. As verification of the suggested framework and architecture is still required, so we'll apply them to various manifestations of NE, e.g., dynamic supply chain, vertical integration of extended enterprises, and P2P-style virtual enterprises.
    01/2008; 7(4).
  • Source
    06/2008, Supervisor: Ioan Alfred Letia
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Agent interaction is a fundamental part of any multiagent system. Such interactions are usually regulated by protocols, which are typically defined at design-time. However, in many situations a protocol may not exist or the available protocols may not fit the needs of the agents. In order to deal with such situations agents should be able to generate protocols at runtime. In this paper we develop a three-phase framework to enable agents to create a commitment protocol dynamically. In the first phase one of the agents generates candidate commitment protocols, by considering its goals, its abilities and its knowledge about the other agents' services. We propose two algorithms that ensure that each generated protocol allows the agent to reach its goals if the protocol is enacted. The second phase is ranking of the generated protocols in terms of their expected utility in order to select the one that best suits the agent. The third phase is the negotiation of the protocol between agents that will enact the protocol so that the agents can agree on a protocol that will be used for enactment. We demonstrate the applicability of our approach using a case study.
    Autonomous Agents and Multi-Agent Systems 02/2014; 29(2). DOI:10.1007/s10458-014-9251-7 · 1.11 Impact Factor


Available from