We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
Michael J. Pazzani, Christopher J. Merz, Patrick M...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
This position paper argues the case for the application of constructivist theories to Artificial Intelligence, with particular emphasis on Piaget's theory. The idea of buildin...
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Information systems (IS) research often attempts to examine and explain how technology leads to outcomes through usage of information technology (IT). Although extensive research ...
Dominic M. Thomas, Saurabh Gupta, Robert P. Bostro...