Experimental and Theoretical Psychology Home Page > Research > DFG Project DYNAMIS DFG Project DYNAMIS Title: Subjective representation of small-scale dynamic systems: Construction and application of knowledge depending on person and system attributes (Subjektive Repräsentation dynamischer Kleinsysteme: Aufbau und Anwendung von Wissen in Abhängigkeit von unterschiedlichen Person- und Systemmerkmalen). Funding: funded by DFG 1986-1990 (Az. Fu 173/1). Project Manager: Dr. Joachim Funke. Project Members: Dipl.-Psych. Horst Müller (7/86-11/87), Dipl.-Psych. Uwe Kleinemas (11/88-11/89). Short Description The DYNAMIC project works with systematically constructed scenarios which have to be identified and controlled by naive subjects. The scenarios are constructed according to the formalism of linear structural equation systems (see link to software below). Manipulation of system attributes like degree of dynamics, connectivity, time delays etc. is done systematically to find out their effects on identification and control. In addition, the development of assessment instruments is part of this project. The focus is on the method of assessing causal diagrams. Detailed analyses show the high reliability of this procedure. The main results of this project consist in methodological considerations, in the development of measurement instruments, and in the experimental demonstration of the differential effects of system attributes on identification and control of these systems. Details of this research are published in technical reports and in peer-reviewed papers (see below). Selected References Beckmann, J. F. (1994). Lernen und komplexes Problemlösen. Ein Beitrag zur Konstruktvalidierung von Lerntests. Bonn: Holos. Funke, J. (1991). Solving complex problems: Human identification and control of complex systems. In R.J. Sternberg & P.A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 185-222). Hillsdale, NJ: Lawrence Erlbaum. Funke, J. (1992). Dealing with dynamic systems: Research strategy, diagnostic approach and experimental results. German Journal of Psychology, 16, 24-43. (4,7 MB) Funke, J. (1992). Wissen über dynamische Systeme: Erwerb, Repräsentation und Anwendung. Berlin: Springer. (0.5 MB) Funke, J. (1993). Microworlds based on linear equation systems: A new approach to complex problem solving and experimental results. In G. Strube & K.-F. Wender (Eds.), The cognitive psychology of knowledge (pp. 313-330). Amsterdam: Elsevier Science Publishing. (0.7 MB) Funke, J. (2001). Dynamic systems as tools for analysing human judgement. Thinking and Reasoning, 7, 69-89. (0.2 MB) Müller, H. (1993). Komplexes Problemlösen: Reliabilität und Wissen. Bonn: Holos. Software DYNAMIS software: DOS version (old) DYNAMIS software: Java version (new), programmed 2003 by Carsten Schulz	Home News Research   Network of Psychological Addiction Research   BMFT project Complex problem solving   BMFT Project OPTIMANU   Complex problem solving research - Homepage   DFG Project ALFA   DFG Project DYNAMIS   DYNAMIS Description   DYNAMIS Technical Reports   DYNAMIS Software (english)   DFG Project KOVALT   DFG Project SMT   DYNAMIS   EC Project KAUDYTE   EC Project RoHMI   EC Project TSER NatCCC-PS   Eye Movement   Internet Research   KOGNI   Research on Neuropsychology   Plan-a-Day   Complex Problem Solving: Research Principles   Complex Problem Solving   Research on Language   Research on Time Estimation Teaching Staff Publications WebLab ATP Sitemap
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