Concepts Ontology Algebras and Role Descriptions

Cyrus F. Nourani, Patrik Eklund
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
more » ... ssigned to transform the models to reach goal plans where goals are satisfied based on competitive game tree learning. Cooperating agents, that have opened new avenues in modeling and implementing agent teams, are ingredients to specific application modeling. Applications to Formal Concept Description are developed with new description logic algebraic models. Novel Description algebras with concept description ontology algebras and description ontology preservation morphisms are presented.
doi:10.15439/2017f554 dblp:conf/fedcsis/NouraniE17 fatcat:2k23a4lrjvbn5nyquwwmeyvqry