Artificial Intelligence
Task level frameworks for cooperative expert systems design
AI Communications
The role of critiquing in cooperative problem solving
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
A co-operative computer based on the principles of human co-operation
International Journal of Man-Machine Studies - Special issue on knowledge-based co-operation
A cooperative problem solving system for user interface design
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Intelligent agents and financial risk monitoring systems
Communications of the ACM - Robots: intelligence, versatility, adaptivity
An intelligent agent-assisted decision support system for family financial planning
Decision Support Systems
Directive Decision Devices: Extending the reach of automation into the finance domain
Expert Systems with Applications: An International Journal
Web-service-agents-based family wealth management system
Expert Systems with Applications: An International Journal
A multi-agent based system for e-procurement exception management
Knowledge-Based Systems
An agent based approach for exception handling in e-procurement management
Expert Systems with Applications: An International Journal
Decision maps: A framework for multi-criteria decision support under severe uncertainty
Decision Support Systems
Intelligent ethical wealth planner: a multi-agent approach
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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Classical expert systems which are acting as autonomous problem-solvers are unsuitable when the problem needs to be solved cooperatively and when the users of the system are themselves experts. As a consequence a new type of system is emerging-the cooperative problem-solving system. This paper details the development of a cooperative problem-solving system for the domain of investment management. Much of investment management involves comparing alternative solutions. An assumption-based truth maintenance system (ATMS), which allows multiple hypothetical scenarios to be modelled, is the technique used to store each agents portfolio solution, constraints and underlying decisions. Analysis of transcripts obtained during knowledge acquisition revealed seven functions that a cooperative problem-solving system should seek to provide. The resulting system provides a cooperative environment in which multiple users can investigate and compare different solution, build new approaches to obtaining a solution and introduce new concepts to engender discussion.