Agents that reduce work and information overload
Communications of the ACM
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
What is wrong with us? Improving robustness through social diagnosis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
The Computer Simulation of Partnership Formation
Computational & Mathematical Organization Theory
Social Intelligence Among Autonomous Agents
Computational & Mathematical Organization Theory
Finding the Best Partner: The PART-NET System
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
The Knowledge Engineering Review
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Agent based process management: applying intelligent agents to workflow
The Knowledge Engineering Review
Task allocation via coalition formation among autonomous agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A simulator for multi-agent partnership formation based on dependence graphs
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Computational & Mathematical Organization Theory
Strengthening Admissible Coalitions
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
PartNET++: simulating multiple agent partnerships using dependence graphs
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Dealing with Interaction for Complex Systems Modelling and Prediction
International Journal of Artificial Life Research
Hi-index | 0.00 |
This paper applies the two-party dependence theory (Castelfranchi, Cesta and Miceli, 1992, in Y. Demazeau and E. Werner (Eds.) iDecentralized AI-3, Elsevier, North Holland) to modelling multiagent and group dependence. These have itheoretical potentialities for the study of emerging groups and collective structures, and more generally for understanding social and organisational complexity, and ipractical utility for both social-organisational and agent systems purposes. In the paper, the dependence theory is extended to describe multiagent links, with a special reference to group and collective phenomena, and is proposed as a framework for the study of emerging social structures, such as groups and collectives. In order to do so, we propose to extend the notion of dependence networks (applied to a single agent) to dependence graphs (applied to an agency). In its present version, the dependence theory is argued to provide (a) a theoretical instrument for the study of social complexity, and (b) a computational system for managing the negotiation process in competitive contexts and for monitoring complexity in organisational and other cooperative contexts.