학술논문

Computational models of time perception
Document Type
Conference
Source
2014 First International Conference on Networks & Soft Computing (ICNSC2014) Networks & Soft Computing (ICNSC), 2014 First International Conference on. :413-417 Aug, 2014
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Computational modeling
Estimation
Timing
Cognition
Clocks
Psychology
Brain modeling
Language
Abstract
In this paper, we review extant computational models of time perception to elucidate the need for developing connectionist/neural networks models of time perception based on emergent systems approach. The widespread differences between production or symbolic processing systems that are based on cognitivist approach (e.g., ACT-R, and Soar) and connectionist systems that are based on emergent systems approaches are reviewed critically to emphasize the feasibility of developing connectionist models of time perception. Finally, we discuss the implications for developing connectionist models for studying the notion of time.