This paper presents the first functional evaluation of spontaneous, uncued retrieval from long-term memory in a cognitive architecture. The key insight is that current deliberate...
We describe a new instance-based learning algorithm called the Boundary Forest (BF) algorithm, that can be used for supervised and unsupervised learning. The algorithm builds a fo...
In order to be fully robust and responsive to a dynamically changing real-world environment, intelligent robots will need to engage in a variety of simultaneous reasoning modaliti...
We present a probabilistic framework for learning with heterogeneous multiview data where some views are given as ordinal, binary, or real-valued feature matrices, and some views ...
In this paper we describe asprin1 , a general, flexible, and extensible framework for handling preferences among the stable models of a logic program. We show how complex prefere...
Gerhard Brewka, James P. Delgrande, Javier Romero ...