COGS 558 Thinking, Reasoning & Problem Solving Fall 2014 Instructor: Murat Perit Cakir Coordinates: Informatics Institute B-205 Lecture Hours: Fridays, 14:40-17:30, S03 Office Hours: By appointment Contact: perit@metu.edu.tr, 7706 Course Overview This course examines classical and contemporary work on thinking, reasoning, and problem solving in Cognitive Science. Topics include nature of human concepts, inductive/deductive reasoning, creativity & insight in problem solving, decision making, probabilistic reasoning, visuospatial reasoning, development of thinking, scientific reasoning, practical/everyday reasoning, paradigms of cultural thought, mathematical cognition, collective reasoning and neural correlates of reasoning and decision making. Each topic will be discussed from several perspectives including psychology, cognitive neuroscience, cognitive modeling and cognitive anthropology. Course Objectives By the end of the course students will be expected to develop a thorough understanding of thinking, reasoning, problem solving and decision making concepts by reviewing both classical and contemporary accounts on the subject matter from multiple perspectives within Cognitive Science. Students are also expected to apply this theoretical knowledge to analysis of empirical data. The class will include an empirical data analysis component where students will be asked to design and analyze small scale experiments on related topics. Background Requirements No pre-requisite coursework is needed. Students are required to possess (1) some experience in designing and running psychological experiments, and (2) skills for reading & writing in English language about empirical and conceptual problems in cognitive science. Course Outline Introduction The Nature of Human Concepts o Similarity o Concepts and Categories o Approaches to Modeling Human Mental Representations Reasoning o Induction o Analogy o Causal Learning o Deductive Reasoning o Visuospatial Reasoning Judgement & Decision Making o Decision Making o Heuristics o Neuroeconomics Problem Solving & Complex Learning o Problem Solving o Creativitiy & Insight o Situated Reasoning Developmental & Physiological Aspects of Thinking o Development of Thinking o Thinking in Working Memory o Cognitive Neuroscience of Deductive Reasoning o Thought Disorders o Ocular & neural correlates of thinking Course Conduct & Grading This will be a reading intensive course. All students are expected to read the assigned chapters (and supplementary papers) before the corresponding class. The course will have online collaborative activities where we will together discuss the materials in the learning management system. The participation to these activities will count towards your grade. During the course of the semester there will be 4-5 take-home assignments. The assignments will include questions/tasks related to the readings and class discussions. Finally the course will include a project component where you should design/conduct an experiment by using OpenSesame (http://osdoc.cogsci.nl/), analyze its data, and present your findings both in class and in report format. You may consider using the functional Near-Infrared Spectroscopy (fNIRS) device or the TOBII T120 eye tracker for your experiments. Tentative Breakdown of Grades 20%: Participation into classroom, online discussion, group work (prerequisite: attendance!) 40%: Short paper assignments 40%: Project Project proposal – 1 page synopsis, including short literature review presenting the domain and motivating the proposed study, your research question/hypothesis, and your plans for experimental design and/or approach to model building. (due October 17th) Project presentation (last week of classes) Project report – in cog sci conference format – 6-8 pages. (due 2 weeks after the presentation) Attendance and participation is mandatory to get a passing grade! Textbook You are not required to buy a textbook for this course. Reading materials for each week will be posted to METU Online in advance. We will be mainly following the Cambridge Handbook of Thinking and Reasoning edited by Holyoak and Morrison (2005): References Anderson, J.R., Albert, M. V., & Fincham, J. M. (2005). Tracing problem solving in real time: fMRI analysis of the subject-paced Towers of Hanoi. Journal of Cognitive Neuroscience, 17:8, pp. 1261-1274. Baron, J. (1994). Thinking and Deciding. 2nd ed. Cambridge: Cambridge University Press. Bowden, E. M., Jung-Beeman, M., Fleck, J. & Kounios, J. (2005). New approaches to demystifying insight. Trends in Cognitive Sciences 9(7):322-328. Colvin, M. K., Dunbar, K., & Grafman, J. (2001). The effects of frontal lobe lesions on goal achievement in the water jug task. Journal of Cognitive Neuroscience, 13:8, pp. 1129-1147. Dehaene, S. (2011), The Number Sense: How the Mind Creates Mathematics, Revised & Expanded Edition, NY: Oxford University Press. Garnham, A., & Oakhill, J. (1994). Thinking and Reasoning. Oxford: Blackwell Publishers. Geary, D. C. (2006). Development of mathematical understanding. In W. Damon & R. M. Lerner (Series Eds.) & D. Kuhn & R. S. Siegler (Vol. Eds.), Handbook of child psychology: Volume 2: Cognition, perception, and language (6th ed., pp. 777-810). Hoboken, NJ: Wiley. Holyoak, K.J., & Morrison, R.G. (2012). Oxford Handbook of Thinking and Reasoning. New York: University Press Holyoak, K.J., & Morrison, R.G. (Eds.) (2005). Cambridge Handbook of Thinking and Reasoning. Cambridge, MA: Cambridge University Press. Kahneman, D. (2011). Thinking, Fast and Slow. New York, NY: Macmillan Kaplan, C., and H. A. Simon. (1990). In search of insight. Cognitive Psychology 22:374-419. Krawczyk, D. C. (2002). Contributions of the prefrontal cortex to the neural basis of human decision making. Neuroscience and Biobehavioral Reviews 26: 631-664. Netz, R. (2003). The Shaping of Deduction in Greek Mathematics: A Study in Cognitive History. New York ,NY: Cambridge University Press. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall. Nisbett, R. E. (2003). The Geography of Thought: How Asians and Westerners Think Differently … and Why. New York, NY: The Free Press. Pfeifer, R. & Bongard, J. C. (2006). How the Body Shapes the Way We Think. Cambridge, MA: MIT Press. Ridderinkhof, K.R., van den Wildenberg, W., Segalowitz, S., Carter, C. (2004). Neurocognitive mechanisms of cognitive control: The role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain and Cognition, 56, 129-140. Schulte-Mecklenbeck, M., Kühberger, A., & Ranyard, R. (Eds.). (2011). A handbook of process tracing methods for decision research: A critical review and user’s guide. Psychology Press. Shafir, E., and A. Tversky. (1995). Decision making. In E. E. Smith and D. N. Osherson, Eds., An Invitation to Cognitive Science, 2nd ed. vol. 3: Thinking). Cambridge, MA: MIT Press, pp. 77-100. Siegler, R. S., Thompson, C. A., & Schneider, M. (2011). An integrated theory of whole number and fractions development. Cognitive Psychology, 62, 273-296. Simon, H. A. (1996). The Sciences of the Artificial, 3rd Ed. Cambridge, MA: MIT Press. Smith, S.M., Ward, T.B., & Finke, R.A. (1995). The Creative Cognition Approach. Cambridge, MA: MIT Press.