Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Intelligent agents for automated one-to-many e-commerce negotiation
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Sharing Metainformation to Guide Cooperative Search Among Heterogeneous Reusable Agents
IEEE Transactions on Knowledge and Data Engineering
AutONA: a system for automated multiple 1-1 negotiation
Proceedings of the 4th ACM conference on Electronic commerce
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A heuristic model for concurrent bi-lateral negotiations in incomplete information settings
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Reasoning about commitments in multiple concurrent negotiations
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
From trips to telcos -- next generation service portals
BT Technology Journal
Investigating adaptive, confidence-based strategic negotiations in complex multiagent environments
Web Intelligence and Agent Systems
Negotiation among autonomous computational agents: principles, analysis and challenges
Artificial Intelligence Review
An extended protocol for multiple-issue concurrent negotiation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings
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
Managing commitments in multiple concurrent negotiations
Electronic Commerce Research and Applications
Concurrent negotiation and coordination for grid resource coallocation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Strategic agents for multi-resource negotiation
Autonomous Agents and Multi-Agent Systems
A mutual influence algorithm for multiple concurrent negotiations – a game theoretical analysis
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Adaptive negotiation in managing wireless sensor networks
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
A parallel, multi-issue negotiation model in dynamic e-markets
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
On Effective Quality of Service Negotiation
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Tasks for agent-based negotiation teams: Analysis, review, and challenges
Engineering Applications of Artificial Intelligence
Complex Decision Systems and Conflicts Analysis Problem
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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To secure good deals, an agent may engage in multiple concurrent negotiations for a particular good or service. However for this to be effective, the agent needs to carefully coordinate its negotiations. At a basic level, such coordination should ensure the agent does not procure more of the good than is needed. But to really derive benefit from such an approach, the agent needs the concurrent encounters to mutually influence one another (e.g. a good price with one opponent should enable an agent to negotiate more strongly in the other interactions). To this end, this paper presents a novel heuristic model for coordinating multiple bilateral negotiations. The model is empirically evaluated and shown to be effective and robust in a range of negotiation scenarios.