A multimodel methodology for qualitative model engineering
ACM Transactions on Modeling and Computer Simulation (TOMACS)
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Towards the global: complexity, topology and chaos in modelling, simulation and computation
Proceedings from the international conference on complex systems on Unifying themes in complex systems
An agent-based approach for building complex software systems
Communications of the ACM
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Cooperative negotiation for soft real-time distributed resource allocation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A Cooperative Negotiation Protocol for Physiological Model Combination
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Optimal Negotiation of Multiple Issues in Incomplete Information Settings
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Combining rate-adaptive cardiac pacing algorithms via multiagent negotiation
IEEE Transactions on Information Technology in Biomedicine
Synchronization of decentralized multiple-model systems by market-based optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Anthropic agency: a multiagent system for physiological processes
Artificial Intelligence in Medicine
IEEE Transactions on Fuzzy Systems
Alternating-offers bargaining with one-sided uncertain deadlines: an efficient algorithm
Artificial Intelligence
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Effective multimodel anomaly detection using cooperative negotiation
GameSec'10 Proceedings of the First international conference on Decision and game theory for security
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Multiagent cooperative negotiation is a promising technique for modeling and controlling complex systems. Effective and flexible cooperative negotiations are especially useful for open complex systems characterized by high decentralization (which implies a low amount of exchanged information) and by dynamic connection and disconnection of agents. Applications include ad hoc network management, vehicle formation, and physiological model combination. To obtain an effective control action, the stability of the negotiation, namely the guarantee that an agreement will be eventually reached, is of paramount importance. However, the techniques usually employed for assessing the stability of a negotiation can be hardly applied in open scenarios. In this paper, whose nature is mainly theoretical, we make a first attempt towards engineering stable cooperative negotiations proposing a framework for their analysis and design. Specifically, we present a formal protocol for cooperative negotiations between a number of agents and we propose a criterion for negotiation stability based on the concept of connective stability. This is a form of stability that accounts for the effects of structural changes on the composition of a system and that appears very suitable for multiagent cooperative negotiations. To show its possible uses, we apply our framework for connective stability to some negotiations taken from literature.