Automating the Dispute Resolution in Task Dependency Network
This work addresses supply chain management issues for agents in networks, but it appears incremental as it applies existing legal principles to a known model.
The paper tackles the problem of automating dispute resolution in task dependency networks by applying contract law principles to set penalties, aiming to reduce performance costs when unexpected events occur.
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