Title :
Automating the dispute resolution in a task dependency network
Author :
Letia, Ioan Alfred ; Groza, Adrian
Author_Institution :
Dept. of Comput. Sci., Tech. Univ., Cluj-Napoca, Romania
Abstract :
When perturbation or unexpected events do occur, agents need protocols for repairing or reforming the supply chain. Unfortunate contingency could increase too much the cost of performance, while breaching the current contract may be more efficient. In our framework the principles of contract law are applied to set penalties: expectation damages, opportunity cost, reliance damages, and party design remedies, and they are introduced in the task dependency model.
Keywords :
contract law; multi-agent systems; supply chain management; contract law; dispute resolution automation; multiagent system; protocol; supply chain; task dependency network; Computer science; Contract law; Costs; Decision making; Environmental economics; Intelligent networks; Legal factors; Protocols; Supply chains; Technical drawing;
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
DOI :
10.1109/IAT.2005.47