Experiments are developed to analyze the performance of each proposed algorithm. Derived from the above-mentioned algorithms, two additional algorithms are presented. More complex AC problems and their solutions are then investigated. They are based on three different scenarios: 1) the current group state (GS) 2) the GS after a specific period and 3) the GS throughout the collaboration. Three algorithms are proposed for solving AC problems.

Next, AC problems are formalized based on the environment-class, agent, role, group, and object (E-CARGO) model. This paper begins by introducing AC within the context of solving a real-world problem. The paper also presents two different examples of organization transition in order to illustrate the use of the proposed service.Īdaptive collaboration (AC) is essential for group performance optimization in collaborative systems. This service provides the associated costs for transition from a current organization to a future organization and the sequence of steps required for this transition. In this paper, we provide a Reorganization Facilitator Service that implements a cost-aware reorganization mechanism that is based on organization transitions. Organization transition provides a paradigm for relating two different instances of the same organization at different moments.

Therefore, the costs for achieving future instances of an organization cannot be computed until the reorganization process ends. Current reorganization approaches are mainly focused on providing reorganization solutions that take the benefits of the future organization into account but that do not include the impact of the reorganization costs in the process. Reorganization in Multigent Systems is aimed at providing support to dynamically adapt the structure and the behaviour of organizations.

Depaul download visio for mac