2010 | OriginalPaper | Buchkapitel
Conceptual Structures for Reasoning Enterprise Agents
verfasst von : Richard Hill
Erschienen in: Conceptual Structures: From Information to Intelligence
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
If agents are to facilitate interoperability at the knowledge level, they must be able to implement plans in response to what they perceive about their own environment, together with any future intentions. As potential business risk-takers, enterprise agents must be able to take advantage of new scenarios by understanding the ontologies of other enterprises. Conceptual Structures such as Conceptual Graphs (CG) are a more natural way of expressing business transactions. Coupled with the Belief, Desire and Intention (BDI) model, the Transaction Model (TM), expressesd as CG, is used as part of an agent’s model for reasoning on a particular course of action. A brief exemplar illustrates how a reasoning Multi-Agent System application, governed by the Transaction Model, can be implemented using Transaction Agent Modelling (TrAM) and tools such as Amine, Jason and JADE.