PD-Agent: A Flexible Agent BDI Model for Autonomic Computing

Aiming at challenging problem in building autonomic computing system, policy based management technology and intelligent agent technology was combined to build autonomic elements and autonomic computing system. Through importing policy into agent BDI model, a flexible agent model (PD-Agent) is built to satisfy the requirement of autonomic element. To solve logic omniscience problem and related problems of policy operator, defeasible logic is imported. Working mechanism of our proposed system illustrates that the new-type agents can construct autonomic computing system in a seamless way.

[1]  Ji Gao,et al.  An Extended Agent BDI Model with Norms, Policies and Contracts , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[2]  Jun Hu,et al.  Policy-Driven Agent Social , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[3]  Timothy W. Finin,et al.  A policy language for a pervasive computing environment , 2003, Proceedings POLICY 2003. IEEE 4th International Workshop on Policies for Distributed Systems and Networks.

[4]  Hang Guo,et al.  A model of flexible exception handing facilitated by polices and contracts , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[5]  Jun Hu,et al.  Policy-Driven Agent Social to Implement EBBP , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[6]  Rajarshi Das,et al.  A multi-agent systems approach to autonomic computing , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[7]  Raymond Reiter,et al.  A Logic for Default Reasoning , 1987, Artif. Intell..

[8]  Aamer Sachedina,et al.  Policy-Based Autonomic Storage Allocation , 2003, DSOM.

[9]  Huaglory Tianfield.  Multi-agent autonomic architecture and its application in e-medicine , 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

[10]  Guido Governatori,et al.  Programming Cognitive Agents in Defeasible Logic , 2005, LPAR.

[11]  Yanbin Peng,et al.  An multi-agents system to implement e-business , 2005, IEEE International Conference on Web Services (ICWS'05).

[12]  Donald Nute,et al.  Defeasible Logic , 1994, INAP.

[13]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[14]  John McCarthy,et al.  Circumscription - A Form of Non-Monotonic Reasoning , 1980, Artif. Intell..

[15]  F. Dignum,et al.  From Desires, Obligations and Norms to Goals , 2002 .

[16]  Jun Hu,et al.  Cooperative Problem Solving Process Based on MAS_NP Model , 2008, 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing.

[17]  Wamberto Weber Vasconcelos,et al.  Norm Verification and Analysis of Electronic Institutions , 2004, DALT.

[18]  Jun Hu,et al.  A policy-driven autonomous system to implement Web services , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

[19]  Guo Hang,et al.  Consideration of Task Circumstance in Service Matchmaking , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.