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
Autonomous Agents and Multi-Agent Systems
Optimal Negotiation Strategies for Agents with Incomplete Information
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
The Influence of Information on Negotiation Equilibrium
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
A survey of bargaining models for grid resource allocation
ACM SIGecom Exchanges
Learning inventory management strategies for commodity supply chains with customer satisfaction
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
A personality-based simulation of bargaining in e-commerce
Simulation and Gaming
STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES
Applied Artificial Intelligence
A heuristic personality-based bilateral multi-issue bargaining model in electronic commerce
International Journal of Human-Computer Studies
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A logical model of Nash bargaining solution
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Grid resource negotiation: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
ASP-Prolog for negotiation among dishonest agents
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Bargaining strategies designed by evolutionary algorithms
Applied Soft Computing
Monotonic mixing of decision strategies for agent-based bargaining
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
A Fuzzy Logic System for Bargaining in Information Markets
ACM Transactions on Intelligent Systems and Technology (TIST)
Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques
Fuzzy Sets and Systems
Negotiation strategy for mobile agent-based e-negotiation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Adaptive choice of behavior and protocol parameters
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Electronic Commerce Research and Applications
On the use of particle swarm optimization and Kernel density estimator in concurrent negotiations
Information Sciences: an International Journal
| Hi-index | 0.00 |
This paper analyses the process and outcomes of competitive bilateral negotiation for a model based on negotiation decision functions. Each agent has time constraints in the form of a deadline and a discounting factor. The importance of information possessed by participants is highlighted by exploring all possible incomplete information scenarios -- both symmetric and asymmetric. In particular, we examine a range of negotiation scenarios in which the amount of information that agents have about their opponent's parameters is systematically varied. For each scenario, we determine the equilibrium solution and study its properties. The main results of our study are as follows. Firstly, in some scenarios agreement takes place at the earlier deadline, while in others it takes place near the beginning of negotiation. Secondly, in some scenarios the price surplus is split equally between the agents while in others the entire price surplus goes to a single agent. Thirdly, for each possible scenario, the equilibrium outcome possesses the properties of uniqueness and symmetry -- although it is not always Pareto optimal. Finally, we also show the relative impacts of the opponent's parameters on the bargaining outcome.