Artificial Intelligence
A theory of diagnosis from first principles
Artificial Intelligence
AI Magazine
Generic tasks and task structures: history, critique and new directions
Second generation expert systems
Components of Problem Solving and Types of Problems
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
A protocol for multi-agent diagnosis with spatially distributed knowledge
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Diagnosis of single and multi-agent plans
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Roles and norms for programming agent organizations
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Five Guidelines for Normative Multiagent Systems
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Knowledge acquisition from sources of law in public administration
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
An agent-based legal knowledge acquisition methodology for agile public administration
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Hi-index | 0.00 |
In public administration, legal knowledge in the form of critical incidents and, for want of a better word, noncompliance storylines is important for monitoring and enforcement, but has no natural place in traditional forms of legal knowledge representation such as normative rules or legal argument schemes. In this paper we present a model-based diagnosis view on the complex social systems in which large public administration organizations operate. The purpose of diagnosis as presented in this paper is to identify problematic agent role instances in a multi-agent system (MAS). We propose the model-based diagnosis problem as an explanation of the driving forces behind requests for change to the IT, business process design, and policy making departments in public administration. This makes model-based diagnosis an important potential legal knowledge acquisition frame for public administration.