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Concepts Ontology Algebras and Role Descriptions
2017
Position Papers of the 2017 Federated Conference on Computer Science and Information Systems
A heterogeneous computing model with ontology preserving functions are applied to present concept learning across domains with structural agent morphisms. A computing models based on a novel multi-agent competitive learning with multiplayer game tree plans are applied. Agents are assigned to transform the models to reach goal plans. Goals are satisfied based on competitive game tree learning. Agent tree computing models are example prototypes for modeling ontology algebras. Specific agents are
doi:10.15439/2017f554
dblp:conf/fedcsis/NouraniE17
fatcat:2k23a4lrjvbn5nyquwwmeyvqry