Soft computing techniques proved to be successful in many application areas. In this paper we investigate the application in psychopathological field of two well known soft computing techniques, fuzzy logic and genetic algorithms (GAs). The investigation started from a practical need: the creation of a tool for a quick and correct classification of mental retardation level, which is needed to c...

Dario D. Salvucci ([email protected]), Michael D. Byrne ([email protected]), Christian Lebiere ([email protected]), Niels A. Taatgen ([email protected]) J. Gregory Trafton ([email protected]) 1 College of Computing & Informatics, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA 2 Department of Psychology, Rice University, 6100 Main St., Houston, TX 77005, USA 3 Department of Psyc...

MAIKE HEINING,a,b ANDREW W. YOUNG,c GLAVKOS IOANNOU,a CHRIS M. ANDREW,d MICHAEL J. BRAMMER,e JEFFREY A. GRAY,a AND MARY L. PHILLIPSb aDepartment of Psychology, Institute of Psychiatry, Kings College London, London, UK bSection of Neuroscience and Emotion, Division of Psychological Medicine, Institute of Psychiatry and GKT School of Medicine, London, UK cDepartment of Psychology, University of Y...

Program comprehension is perhaps one of the oldest topics within the psychology of programming. It addresses a central issue: how programmers work with and manipulate source code to construct effective software systems. Models can play an important role in understanding the challenges developers and engineers contend with. This paper presents a model of program comprehension, or code cognition,...

in order to improve the level of intelligence, availability, being on demand, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. in addition to management services, intelligent transportation systems can provide passengers, drivers, travel agencies and other institutions with other ser...

The papers in this special section are aimed at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, affective computing, challenging expanding current research on interpretation estimation of human behavior longitudinal data, i.e., single or multiple modalities captured over extended periods time allowing efficient representation inference te...