ABSTRACT
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.
- C. Alexander, S. Ishikawa, M. Silverstein, M. Jacobson, I. Fiksdahl-King, and S. Angel. A Pattern Language, Towns, Buildings, Construction. Oxford University Press, New York, New York, 1977.Google Scholar
- G.-J. de Vreede. Collaboration engineering: current directions and future opportunities. In Proceedings of the Seventh International Conference on Group Decision and Negotiation (GDN 2006), pages 15--18. Karlsruhe, Germany, June 2006.Google Scholar
- G.-J. de Vreede and R. O. Briggs. Collaboration engineering: designing repeatable processes for high-value collaborative tasks. In Proceedings of the 38th Hawaiian International Conference on System Science. IEEE Computer Society Press, January 2005. Google ScholarDigital Library
- S. S. Fatima, M. J. Wooldridge, and N. R. Jennings. An agenda-based framework for multi-issue negotiation. Artificial Intelligence, 152(1):1--46, 2004. Google ScholarDigital Library
- R. Fisher. Negotiating inside out: what are the best ways to related internal negotiations with external ones? In J. W. Breslin and J. Z. Rubin (eds.) Negotiation Theory and Practice, pages 71--79. Harvard University Press, 1991.Google Scholar
- E. C. Gould and M. Easter. The Multisearch Software Case. Program on Negotiation at Harvard Law School, Cambridge, Massachusetts, 1998.Google Scholar
- G. L. Kolfschoten and S. van der Hulst. Collaboration process design transition to practitioners: requirements from a cognitive load perspective. In Proceedings of the Seventh International Conference on Group Decision and Negotiation (GDN 2006), pages 45--48. Karlsruhe, Germany, June 2006.Google Scholar
- L. Kriesberg. Timing and the initiation of de-escalation moves. In J. W. Breslin and J. Z. Rubin (eds.) Negotiation Theory and Practice, pages 223--231. Harvard University Press, 1991.Google Scholar
- R. Labaki, V. Pallas, and T. Bouzdine-Chameeva. A favourable knowledge management context: application of the causal mapping technique. In Proceedings of the Seventh International Conference on Group Decision and Negotiation (GDN 2006), pages 57--60. Karlsruhe, Germany, June 2006.Google Scholar
- D. A. Lax. Optimal search in negotiation analysis. Journal of Conflict Resolution, 29(3):456--472, 1985.Google ScholarCross Ref
- D. A. Lax and J. K. Sebenius. The power of alternatives or the limits to negotiation. In J. W. Breslin and J. Z. Rubin (eds.) Negotiation Theory and Practice, pages 97--113. Harvard University Press, 1991.Google Scholar
- H. Raiffa. The Art and Science of Negotiation: How to Resolve Conflicts and Get the Best out of Bargaining. Belknap Press of Harvard University, Cambridge, Massachusetts, 1982.Google Scholar
- R. Rush and W. A. Wallace. Elicitation of knowledge from multiple experts using network inference. IEEE Trans. on Knowledge and Data Engineering, 9(5):688--696, 1997. Google ScholarDigital Library
- K. P. Sykara. New directions in automated negotiation. In Proceedings of the Seventh International Conference on Group Decision and Negotiation (GDN 2006), pages 9--11. Karlsruhe, Germany, June 2006.Google Scholar
Index Terms
- Strategic decision making on group collaboration under temporary constraints
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