Elicitation of Knowledge from Multiple Experts Using Network Inference
IEEE Transactions on Knowledge and Data Engineering
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Collaboration Engineering: Designing Repeatable Processes for High-Value Collaborative Tasks
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
A computing theory for collaborative and transparent decision making under time constraint
Information Systems Frontiers
Strategic points to minimize time cost for decision making under asynchronous time constraints
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
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In this paper, we present a theory for strategic decision making on group collaboration under temporary constraints for avoiding de-escalation moves. Group negotiation has two types of decision making: collaborative and competitive strategies. The collaborative strategy is a type of decision making under which any player in negotiation groups would not leave from non-repeatable games of finite stakes on their possible agreements, while the competitive strategy is the other style of decision making under which any player in negotiation groups would leave for other repeatable games of infinite stakes on their possible agreements. Those two types of strategies are selective for increasing negotiated gains under temporary constraints in the response to properties of infinite and finite stakes on repeatable and non-repeatable negotiation games, respectively. The proposed theory provides decision support systems with the command of strategic decision making on group collaboration under temporary constraints by its static and dynamic analyses.