Marcos Ruiz Soler

Biography

e completed his Psychology studies at the University of Barcelona, ​​obtaining his degree in 1986 with the defense of a thesis titled Contribution of Artificial Intelligence to Cognitive Psychology. He was a collaboration scholar during two academic years in the Department of Experimental Psychology and in the same department he held a PhD in Cognitive Neuroscience and in the Polytechnic University of Catalonia several postgraduate and doctoral courses on Artificial Intelligence. In 1987 he is hired as a full-time professor at the University of Málaga, where he began his teaching activity in the area of ​​Behavioral Sciences Methodology. On 10 January 1989 he defended his doctoral thesis entitled Strategies in the processing of visual information: Towards a model of the functional architecture of the human cognitive system at the University of Barcelona. In February 1991 he obtained the title of Professor of the University in the area of ​​Methodology of the behavioral sciences (University of Málaga). He has also been professor in other universities, both in the country and abroad, giving doctorate courses and statistical analysis. In 1994 he started the research group Modeling and Simulation in Psychology (CTS-226) in which different researchers participate and are formed, having conducted five doctoral theses. He was a founding member of the Spanish Association of Behavioral Sciences Methodology (AEMCCO) in 1994 and has been part of several scientific associations (Spanish Association for Artificial Intelligence, Spanish Biometrics Association, European Society for Cognitive Psychology, Spanish Society of Psychology Experimental, etc.). He has also regularly participated as a reviewer of papers from various scientific journals (Journal of Cognitive Psychology, Visual Cognition, Journal of Statistical Software, Journal of Artificial Societies and Social Simulation, etc.).

Research Interest

Modeling of psychological processes, particularly visual phenomena (perception of human faces) applying recent developments in statistical modeling (generalized linear models) and computational simulation (cellular automata).