Technical Note: \cal Q-Learning
Machine Learning
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
A multi-attribute utility theoretic negotiation architecture for electronic commerce
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
An experimental analysis of multi-attribute auctions
Decision Support Systems
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
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Modeling constraint-based negotiating agents
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Multi-Issue Negotiation Processes by Evolutionary Simulation, Validationand Social Extensions
Computational Economics
Experiments in Human Multi-Issue Negotiation: Analysis and Support
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
| Hi-index | 0.00 |
The goal of enterprise computing is to achieve efficient enterprise automation and to optimize enterprise value through an understanding of external and internal status for business optimization. With the advancement in wireless technology, mobile communication has become a salient interaction media between people. Particularly, with the ad-hoc mobile networks, each peer is able to attain information and services (from the other peers) of value to the peer anywhere, any time and using a variety of different kinds of devices. However, how to empower peers to share and acquire information/services through an automated negotiation mechanism, to take into account the attributes of the context (physical and non-physical) and then to achieve social welfare is one of the ideals in exploiting a wireless Peer-to-Peer network environment in the era of enterprise computing. Accordingly, this paper presents Contextualized Integrative Negotiation Strategies (CINS) for content sharing in wireless Peer-to-Peer environments. CINS enables peers to engage proper interactions within the environment in time, to understand the needs of the other peers and to employ practices of cooperation negotiation (instead of competition ones). In CINS, peer re-learning negotiation strategies consider content-sharing ontologies employed and the reward attained from the environment for the purpose of useful sharing experience. This not only helps peers embrace a common consensus of collective benefits in content sharing but also guarantees that the negotiation results achieve win-win decisions of allocations.