Constraint logic programming languages
Communications of the ACM
New local search approximation techniques for maximum generalized satisfiability problems
Information Processing Letters
Compromise in negotiation: exploiting worth functions over states
Artificial Intelligence
Mechanism design for automated negotiation, and its application to task oriented domains
Artificial Intelligence
Intelligent agents as a basis for decision support systems
Decision Support Systems - Special issue: intelligent agents as a basis for decision support systems
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
A quality of service negotiation approach with future reservations (NAFUR): a detailed study
Computer Networks and ISDN Systems
Computer-mediated communication: problems and potentials of argumentation support systems
Decision Support Systems
Multiple-issue auction and market algorithms for the World W0ide Web
Decision Support Systems
Brokerage between buyer and seller agents using constraint satisfaction problem models
Decision Support Systems
Constraint solving and preference activation for interactive design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
An agent-based approach for supporting quality of service in distributed multimedia systems
Computer Communications
A system for principled matchmaking in an electronic marketplace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Semantic matchmaking in a P-2-P electronic marketplace
Proceedings of the 2003 ACM symposium on Applied computing
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Building a Multiple-Criteria Negotiation Support System
IEEE Transactions on Knowledge and Data Engineering
A System for Principled Matchmaking in an Electronic Marketplace
International Journal of Electronic Commerce
An intelligent agent-assisted decision support system for family financial planning
Decision Support Systems
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Decision Support Systems
Expert Systems with Applications: An International Journal
A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces
International Journal of Electronic Commerce
Expert Systems with Applications: An International Journal
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
Electronic Commerce Research and Applications
Argumentation-based negotiation planning for autonomous agents
Decision Support Systems
Mobile p2p automatic content sharing by ontology-based and contextualized integrative negotiation
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
An agent-based distributed collaborative decision support system
Intelligent Decision Technologies - Various forms of intelligence
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Most existing decision support systems (DSSs) are hard to fit satisfactorily into emerging working practices or organizational environments. Decision-making is becoming more pluralistic and less hierarchical, determined not so much by position in the corporate hierarchy but much by the argumentative and evidential value. Such decision-making can only be supported by those DSSs with negotiation support facilities. Intelligent negotiation agents can be used to model many decisionmaking negotiation tasks. Such negotiation agents are able to interact and negotiate with users and with each other. In addition, the newly emerging constraint agent technology provides a promising solution for such negotiation agents. In this paper, we present a model by applying constraint negotiation agents for DSSs. An object-oriented constraint language for modeling constraint agents is defined. Within our model, constraint DSS agents are able to reason cooperatively with users or with other agents. Negotiation among agents and users is modeled as a process of interactive constraint satisfaction. Efficient algorithms for the implementation of negotiation-oriented constraint satisfaction are also presented. As manpower costs become more and more expensive and as the negotiation workload increases, the future DSSs will play more important roles in the negotiation process. It is expected that our work will contribute to the future DSS design and development.