Intention is choice with commitment
Artificial Intelligence
Case-based reasoning
Designing conventions for automated negotiation
AI Magazine
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Multiagent negotiation under time constraints
Artificial Intelligence
From logic to dialectics in legal argument
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Compromise in negotiation: exploiting worth functions over states
Artificial Intelligence
Mechanism design for automated negotiation, and its application to task oriented domains
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
The AARIA agent architecture: an example of requirements-driven agent-based system design
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Dialectic semantics for argumentation frameworks
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Maintaining knowledge about temporal intervals
Communications of the ACM
Beliefs, time and incomplete information in multiple encounter negotiations among autonomous agents
Annals of Mathematics and Artificial Intelligence
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Towards Layered Dialogical Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
A Firm Real-Time System Implementation using Commercial Off-the-Shelf Hardware and Free Software
RTAS '98 Proceedings of the Fourth IEEE Real-Time Technology and Applications Symposium
Determining Successful Negotiation Strategies: An Evolutionary Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Developing Formal Specifications to Coordinate Heterogeneous Autonomous Agents
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Modeling Dialogues Using Argumentation
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Distributed Sensor Interpretatio: Modeling Agent Interpretations in DRESUN*
Distributed Sensor Interpretatio: Modeling Agent Interpretations in DRESUN*
Distributed Sensor Networks: A Multiagent Perspective
Distributed Sensor Networks: A Multiagent Perspective
On cooperation in multi-agent systems
The Knowledge Engineering Review
Mechanisms for automated negotiation in state oriented domains
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Coalition formation among bounded rational agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Reflective negotiating agents for real-time multisensor target tracking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A multi-agent architecture with cooperative fuzzy control for a mobile robot
Robotics and Autonomous Systems
Incorporating a Temporal Bounded Execution to the CBR Methodology
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Control plane algorithms targeting challenging autonomic properties in grey systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The Knowledge Engineering Review
A comparison of agent decommitment techniques in a real-time environment
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Strategic argumentation in open multi-agent societies
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Incorporating temporal-bounded CBR techniques in real-time agents
Expert Systems with Applications: An International Journal
Towards an integrated approach of real-time coordination for multi-agent systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Dynamic coalition adaptation for efficient agent-based virtual power plants
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
On a computational argumentation framework for agent societies
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Argue to agree: A case-based argumentation approach
International Journal of Approximate Reasoning
Case-based strategies for argumentation dialogues in agent societies
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
This paper describes a negotiation model that incorporates real-time issues for autonomous agents. This model consists of two important ideas: a real-time logical negotiation protocol and a case-based negotiation model. The protocol integrates a real-time Belief-Desire-Intention (BDI) model, a temporal logic model, and communicative acts for negotiation. This protocol explicitly defines the logical and temporal relationships of different knowledge states, facilitating real-time designs such as multi-threaded processing, state profiling and updating, and a set of real-time enabling functional predicates in our implementation. To further support the protocol, we use a case-based reasoning model for negotiation strategy selection. An agent learns from its past experience by deriving a negotiation strategy from the most similar and useful case to its current situation. Guided by the strategy, the agent negotiates with its partners using an argumentation-based negotiation protocol. The model is time and situation aware such that each agent changes its negotiation behavior according to the progress and status of the ongoing negotiation and its current agent profile. We apply the negotiation model to a resource allocation problem and obtain promising results.