G. Zlotldn, S. Jeffrey, and A. Rosenschein, "Mechanism design for automated negotiation and its application to task oriented domains", Artificial Intelligence 86 (1996), pp. 195- 244.  Home/Search Document Details and Download
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A Replicable Web-Based Negotiation Server or E-Commerce - Su, al. (2000) (Correct)
....et al. 11] discuss a so called self interest agent to design an optimized evaluation decision function and suggests several elements that should be considered in negotiation: commitment level, local deliberation, and linking negotiation items. Using ideas borrowed from game theory, Zlotkin et al. [15] treat negotiation as a type of interaction among distributed computer systems. In order to make the overall system more efficient, interaction rules (called negotiation mechanisms) are followed by each component system. Sierra et al. 12] address the searching property of negotiation and ....
G. Zlotldn, S. Jeffrey, and A. Rosenschein, "Mechanism design for automated negotiation and its application to task oriented domains", Artificial Intelligence 86 (1996), pp. 195- 244.
A Replicable Web-Based Negotiation Server for E-Commerce - Su, Huang, Hammer (2000) (2 citations) (Correct)
....[IVlUL96] For example, SAN95] discusses a self interest agent to design an optimized evaluation decision function and suggests several elements that should be considered in negotiation: commitment level, local deliberation, and linking negotiation items. Using ideas borrowed from game theory, ZLO96] treats negotiation as a type of interaction among distributed computer systems. In order to make the overall system more efficient, interaction rules (called negotiation mechanisms) are followed by each component system. SIE97] addresses the searching property of negotiation and discusses ....
G. Zlotkin, S. ]jeffrey, and A. Rosenschein, "Mechanism design for automated negotiation and its application to task oriented domains", Artificial Intelligence 86 (1996), pp. 195- 244.
Emergent Properties of a Market-based Digital Library.. - Park, Durfee, Birmingham (1998) (4 citations) (Correct)
.... to seek profits, we do not want strategic agents to undermine the overall system performance (efficiency in market) nor such agents to reap excessive profits from other agents (efficiency in allocation) That is, we want an incentive compatible mechanism that makes strategic reasoning unnecessary [27]. Unfortunately, we do not have such a mechanism yet for the UMDL system; we fully expect strategic agents who try to take advantage of other agents to enter the system. Note that the potential of having strategic agents is not limited to the UMDL auction. Most open multiagent systems expect ....
Zlotkin, G. and J.S. Rosenschein, Mechanism Design for Automated Negotiation and Its Application to Task Oriented Domains. Artificial Intelligence, 1996. 86(2): 195-244.
Emergent Properties of a Market-based Digital Library with.. - Sunju Park Edmund (1998) (4 citations) (Correct)
.... agents to seek profits, we do not want strategic agents to undermine the overall system performance (efficiency in market) nor such agents to reap profits against other agents (efficiency in allocation) That is, we want an incentivecompatible mechanism that makes strategic reasoning unnecessary (Zlotkin Rosenschein, 1996; Wellman, 1993) Unfortunately, we do not have such a mechanism yet for the UMDL system; we fully expect strategic agents who try to take advantage of other agents to emerge in the system. So, does it mean the UMDL will become inefficient Will (and should) a UMDL agent spend much of its ....
Zlotkin, G., & Rosenschein, J. S. 1996. Mechanism Design for Automated Negotiation and its Application to Task Oriented Domains. Artificial Intelligence 86(2): 195-244.
Influencing: A Strategy for Goal Adoption in BDI Agents - Mohanty, Patra, Naik (Correct)
.... been a growing interest in developing interoperable software agents which combine cognitive abilities to facilitate understanding of complex real situations, and thereby behave appropriately [9,10,21] The related issues which are under active research are : co operation [2,13,29,31] negotiation [16,17,33], collaboration [12, 14, 18, 19] planning [8, 11,22] and co ordination [30] Of late, another issue which has been studied in connection with agent interactions is influencing [5] The purpose of influencing is to make an agent adopt or abandon a goal. In [5] influencing has been achieved by ....
G. Zlotkin and J.S. Rosenschein, "Mechanism design for automated negotiation and its application to task oriented domain", Artificial Intelligence, vol. 86, 1996, pp 195 - 244.
A Replicable Web-Based Negotiation Server For E-Commerce - Su, Huang, Hammer (2000) (2 citations) (Correct)
....et al. 11] discuss a so called self interest agent to design an optimized evaluation decision function and suggests several elements that should be considered in negotiation: commitment level, local deliberation, and linking negotiation items. Using ideas borrowed from game theory, Zlotkin et al. [15] treat negotiation as a type of interaction among distributed computer systems. In order to make the overall system more efficient, interaction rules (called negotiation mechanisms) are followed by each component system. Sierra et al. 12] address the searching property of negotiation and ....
G. Zlotkin, S. Jeffrey, and A. Rosenschein, "Mechanism design for automated negotiation and its application to task oriented domains", Artificial Intelligence 86 (1996), pp. 195- 244.
A Negotiation Model to support Material Selection in.. - Barker, Holloway, Meehan (2001) (Correct)
No context found.
Zlotkin, G., Rosenschein, J.S., 1996b. Mechanism design for automated negotiation and its application to task oriented domains. Artificial Intelligence 86:195-244.
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