Collaborative plans for complex group action
Artificial Intelligence
Efficient mechanisms for the supply of services in multi-agent environments
Proceedings of the first international conference on Information and computation economies
Multiagent systems
Distributed rational decision making
Multiagent systems
Learning in multiagent systems
Multiagent systems
Formal methods in DAI: logic-based representation and reasoning
Multiagent systems
Artificial Intelligence - Special issue on Robocop: the first step
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Autonomous Agents and Multi-Agent Systems
An architecture for Real-Time Reasoning and System Control
IEEE Expert: Intelligent Systems and Their Applications
Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
A Framework for Argumentation-Based Negotiation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Determining Successful Negotiation Strategies: An Evolutionary Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Layered learning in multiagent systems
Layered learning in multiagent systems
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Journal of Artificial Intelligence Research
Adaptive interaction multi-agent systems in E-learning/E-teaching on the web
ICWE'03 Proceedings of the 2003 international conference on Web engineering
| Hi-index | 0.00 |
Agent-based systems suitable for dealing with applications where the environment is both dynamic and populated with competitors demand for sophisticated characteristics including adaptation, negotiation and coordination. We here briefly summarize some proposals on agents' negotiation capabilities including adaptation through reinforcement learning as well as qualitative multi-criteria negotiation and coalition formation protocols. Also, and inspired by robosoccer domain, some basic hints on knowledge representation for agents' team work are here described. All those proposals on automatic negotiation have been implemented through agent-based systems for different application domains (MACIV, SMACE, ForEV).