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Finding compromises between local and global ontology querying in multiagent systems
(Springer Verlag, 2004)
As Ontologie knowledge gets more and more important in agent-based systems, its handling becomes crucial for successful applications. In the context of agent-based applications, we propose a hybrid approach, in which part ...
Towards a causal framework for intelligent agents development
(2009-11-13)
In this paper we present a Causal Artificial Intelligence Design (CAID) theory that borrows notions from Classical philosophy for modeling intelligent agents. Principles introduced by this theory are used for extending a ...
A knowledge-based entrepreneurial approach for business intelligence in strategic technologies: Bio-MEMS
(2005-08-15)
We propose a knowledge-based entrepreneurial (KBE) approach for business intelligence in strategic technologies at industrial sectors. The KBE approach is at the convergence of business intelligence and knowledge management ...
A hybrid local-global approach for handling ontologies in a multiagent system
(2004-06-24)
As Ontologic knowledge gets more and more important in agent-based systems, its handling becomes crucial for successful applications. We propose a hybrid approach, in which part of the ontology is handled locally, using a ...
A knowledge-based information system for managing research programs and value creation in a university environment
(2005-08-15)
We describe an integrated information system for managing knowledge generated from research and innovation activities in a university environment and for the creation of economic value from the resulting knowledge and ...
Modelling intelligent agents through causality theory
(IEEE Computer Society, 2007-11-10)
We introduce Causal Agents, a methodology and agent architecture for modeling intelligent agents based on Causality Theory. We draw upon concepts from classical philosophy about metaphysical causes of existing entities for ...
Combining global and local ontology handling in a multiagent system
(IEEE Computer Society, 2004-05-19)
Ontologic knowledge is getting more and more important in agent-based systems, and its handling is becoming crucial for successful applications. But placing all the ontology-handling capabilities in each of the system's ...