Multiagent negotiation under time constraints
Artificial Intelligence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Multi-issue negotiation under time constraints
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Optimal Negotiation Strategies for Agents with Incomplete Information
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Automated Multi-Attribute Negotiation with Efficient Use of Incomplete Preference Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Learning on opponent's preferences to make effective multi-issue negotiation trade-offs
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Combining Cooperative and Non-Cooperative Automated Negotiations
Information Systems Frontiers
A Classification Structure for Automated Negotiations
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Social Formation of Negotiation Space and Groups for Non-Isolated Multilateral Negotiations
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
Learning consumer preferences using semantic similarity
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces
Autonomous Agents and Multi-Agent Systems
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
Automated formal analysis of human multi-issue negotiation processes
Multiagent and Grid Systems
Optimal Agendas and Procedures for N-Issue Negotiation: An Inductive Definition
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Annals of Mathematics and Artificial Intelligence
Predicting partners' behaviors in negotiation by using regression analysis
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Extending propositional logic with concrete domains for multi-issue bilateral negotiation
DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
Towards a fuzzy logic for automated multi-issue negotiation
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
Structured reasoning to support deliberative dialogue
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Social Formation of Negotiation Space and Groups for Non-Isolated Multilateral Negotiations
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Information Sciences: an International Journal
Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods
International Journal of Intelligent Information Technologies
Customer Orientation Based Multi-Agent Negotiation for B2C e-Commerce
International Journal of Agent Technologies and Systems
The Effects of Different Interaction Protocols in Agent-Based Simulation of Social Activities
International Journal of Agent Technologies and Systems
Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce
International Journal of Agent Technologies and Systems
Expectation of trading agent behaviour in negotiation of electronic marketplace
Web Intelligence and Agent Systems
Hi-index | 0.00 |
There are two ways of handling bilateral multi-issue negotiations -- one is to negotiate all the issues together, and the other is to negotiate them one by one. The order in which issues are negotiated in issue-by-issue negotiation is specified by the agenda, which can be defined in two ways. One way is to decide it exogenously, i.e., before negotiation begins. The other way is to let the players decide which issue they will negotiate next, during the process of negotiation, i.e., the agenda is determined endogenously. Against this background, this paper studies the effect of combining the exogenous and endogenous agendas on the players' utilities. More specifically, we determine whether, decomposing a set of N issues into k stages (for 1 ≤ k ≤ N), determining the issues to be negotiated at each stage exogenously, and negotiating each stage sequentially using an endogenous agenda can improve an agent's utility relative to the utility it gets if the agenda for all the N issues is defined endogenously. For each agent, we find the expected utility for each value of k between 1 and N. The value of k that gives an agent maximum utility is its optimal number of stages.Our study shows that, in some negotiation scenarios, the optimal value of k is identical for the two players, and is greater than one. In other words, in some negotiation scenarios, both the agents can improve their utilities by using the k-stage negotiation relative to the single stage negotiation. However, since the players have incomplete information about the negotiation parameters, they cannot identify such scenarios. We therefore present an extended alternating offers protocol, that allows the agents to identify such scenarios through a mediator, thereby resulting in improved utility to both the agents.