The aim of this paper is to extend the modal logic of knowledge due to Moss and Parikh by state transformers arising, eg, from actions of agents. The peculiarity of Moss and Parik...
Commitments model important aspects of agent interactions, especially those arising in e-business. A small number of patterns of commitments accommodate a variety of realistic int...
Norms defined by institutions and enforced by organizations have been put forward as a mechanism to increase the efficiency and reliability of electronic transactions carried out ...
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...