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COMPSAC
2006
IEEE
16 years 5 days ago
Consensus Ontology Generation in a Socially Interacting MultiAgent System
This paper presents an approach for building consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualizat...
Ergun Biçici
CEC
2007
IEEE
16 years 14 days ago
Emergent specialization in the extended multi-rover problem
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
ICAS
2009
IEEE
142views Robotics» more  ICAS 2009»
16 years 26 days ago
Semantic Approach to Dynamic Coordination in Autonomous Systems
In open systems where the components, i.e. the agents and the resources, may be unknown at design time, or in dynamic and self-organizing systems evolving with time, there is a ne...
Artem Katasonov, Vagan Y. Terziyan
ADMI
2009
Springer
16 years 22 days ago
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
Murat Sensoy, Pinar Yolum
MAGS
2008
191views more  MAGS 2008»
15 years 6 months ago
Consensus ontologies in socially interacting MultiAgent systems
This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent h...
Ergun Biçici