TY - JOUR
T1 - Attention Mechanisms in the CHREST Cognitive Architecture
AU - Lane, P.C.R.
AU - Gobet, F.
AU - Smith, R.L.
N1 - In: Proceedings of the Fifth International Workshop on Attention in Cognitive Systems, edited by Paletta, L.; Tsotsos, J.K.(Springer-Verlag) “The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1007/978-3-642-00582-4_14
PY - 2009
Y1 - 2009
N2 - In this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks. These chunks are searched for, and verified, by a unique set of heuristics, comprising the attention mechanism. We explain how the attention mechanism combines bottom-up and top-down heuristics from internal and external sources of information. We describe some experimental evidence demonstrating the correspondence of CHREST’s perceptual mechanisms with those of human subjects. Finally, we discuss how visual attention can play an important role in actions carried out by human experts in domains such as chess.
AB - In this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks. These chunks are searched for, and verified, by a unique set of heuristics, comprising the attention mechanism. We explain how the attention mechanism combines bottom-up and top-down heuristics from internal and external sources of information. We describe some experimental evidence demonstrating the correspondence of CHREST’s perceptual mechanisms with those of human subjects. Finally, we discuss how visual attention can play an important role in actions carried out by human experts in domains such as chess.
U2 - 10.1007/978-3-642-00582-4_14
DO - 10.1007/978-3-642-00582-4_14
M3 - Article
SN - 0302-9743
VL - 5395
SP - 183
EP - 196
JO - Lecture Notes in Computer Science (LNCS)
JF - Lecture Notes in Computer Science (LNCS)
ER -