KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
ISLANDER: an electronic institutions editor
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Formalizing a Language for Institutions and Norms
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Agency and the Semantic Web
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
The OpenKnowledge system: an interaction-centered approach to knowledge sharing
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
A lightweight coordination calculus for agent systems
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
An ecologically inspired simulation tool for managing digital ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Managing a digital business ecosystem using a simulation tool
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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In complex natural systems (such as ecological systems) it is common for those studying the macro-dynamics of systems to aim to describe, as simply as possible, the interactions between individuals occupying different niches in a system and to validate these by studying whether they account for the complex network of relationships observed in the actual system. We explore a similar principle applied to multi-agent systems: we develop interactions among intelligent agents; these interactions produce complex networks of relationships among the entities in the system in a similar fashion in which ecological networks are formed in nature. The study of the topological features displayed by these networks is helpful for determining the stability of the system of software agents and its relation to the complexity of the network itself. An interaction centred approach for coordination and knowledge sharing among artificial agents is adopted for the implementation of the system.