In this paper, we describe the n-dimensional projective approach as a hierarchical and modular architecture with a processing mechanism that underlies both spatial backtracking an...
We investigate the range of applicability of Baker's approach to the frame problem using an action language. We show that for temporal projection and deterministic domains, B...
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
The paper presents an approach to hierarchical clustering based on the use of a least general generalization (lgg) operator to induce a lattice structure of clusters and a categor...
We present a velocity-based model for realistic collision avoidance among virtual characters. Our approach is elaborated from experimental data and is based on the simple hypothesi...