Ai Communications

Anticipation of goals in automated planning

Learning-driven goal generation

Learning task hierarchies using statistical semantics and goal reasoning

Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems

Routing for on-street parking search using probabilistic data

Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques

New stochastic local search approaches for computing preferred extensions of abstract argumentation

Resizing cardinality constraints for MaxSAT

Two-phase selective decentralization to improve reinforcement learning systems with MDP

INNAMP: An incremental neural network architecture with monitor perceptron