Emre Ugur


Introduction to Cognitive Science
Monday 12:00-13:00 – BM A3
Tuesday 09:00-11:00 – BM A3

Aim: Introduction of basic concepts, approaches and issues in the field of cognitive science to increase the awareness of the students to the questions raised in the disciplines of computer science, linguistics, philosophy and psychology; focus on the interaction of these disciplines in approaching the study of the mind; specialization on topics central to cognitive science such as the nature of mental representation, reasoning, perception, language use, learning as well as other cognitive processes of humans and other intelligent systems.
Textbook: The course will have no main textbook, but the following topics and readings week by week.
Lecture slides: Available at the course page.
Instructor: Emre Ugur (contact)
Office hours: Anytime. But make sure I'm in the office via email.
Mailing-list: Please send email to instructor if you are not registered!

Schedule (subject to change):

Introduction: Introduction to the study of cognitive sciences. A brief history of cognitive science. Methodological concerns in philosophy, artificial intelligence and psychology.
  • Gardner, The Mind’s New Science, chapters 2,3,4. Gardner, Howard E. The mind's new science: A history of the cognitive revolution. Basic books, 2008.
  • One Hundred Year Study on Artificial Intelligence (AI100), Stanford University, accessed August 1, 2016
  • “ARTIFICIAL INTELLIGENCE AND LIFE IN 2030" https://ai100.stanford.edu/2016-report
  • Kihlstrom and Park, "Cognitive Psychology, Overview", Encyclopedia of the Human Brain, 2002 (optional)
  • Nilsson, The Quest for Artificial Intelligence. (optional)
Artificial Intelligence: History and foundations of AI, AI programming languages, Turing Machine, Turing Test, intelligent agents, Problem solving and search
  • A. M. Turing (1950) Computing Machinery and Intelligence. Mind 49: 433-460.
  • Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. Chapters 1-3 (upto 3.4)
  • "ARTIFICIAL INTELLIGENCE AND LIFE IN 2030" https://ai100.stanford.edu/2016-report, (optional)
  • Kihlstrom and Park, "Cognitive Psychology, Overview", Encyclopedia of the Human Brain, 2002 (optional)
  • Nilsson, The Quest for Artificial Intelligence. (optional)
Psychology: Behavioralism, cognitive maps, experimental methods. Nervous system and brain: Nervous system, neurons, organization of the brain, processing of sensory information in the brain; motor and sensory areas; Brain Imaging, fMRI, MEG, PET, EEG,
  • Chapter 1 and section 2.3, Bermúdez, José Luis. Cognitive science: An introduction to the science of the mind. Cambridge University Press, 2014.
  • Chapters 1 and 2 of Hilgard, Ernest Ropiequet, Richard C. Atkinson, and Rita L. Atkinson. Introduction to psychology. Oxford and IBH Publishing, 1975.
  • Imaging: Brain Mapping Methods, JOHN C. MAZZIOTTA, RICHARD S. J. FRACKOWIAK
  • Gazzaniga, Michael S. "Organization of the human brain." Science 245.4921 (1989): 947-952. (optional)
  • Atkinson et al., Intro. To Psychology, chap 2 (optional)
  • O’Shea, The Brain: A very short introduction, chap 2,3 (optional)
  • Sajda, Neural Networks (optional)
  • "Neural Networks" chapter of "Encyclopedia of the Human Brain" by Paul Sajda (optional)
  • "Neuroimaging" chapter of "Encyclopedia of the Human Brain" by Ganis and Kosslyn (optional)
Brain Imaging: fMRI, MEG, PET, EEG..
  • Imaging: Brain Mapping Methods, JOHN C. MAZZIOTTA, RICHARD S. J. FRACKOWIAK
Guest Lecture: Lucas Thorpe
  • Tim Van Gelder, What Might Cognition Be, If Not Computation? The Journal of Philosophy, Vol. 92, No. 7 (Jul., 1995), pp. 345-381
Guest Lecture: Oguz Erdin
  • Bickhard, Mark H. "Representational content in humans and machines." Journal of Experimental & Theoretical Artificial Intelligence 5.4 (1993): 285-333.
Affordances: Ecological Approach to Vision, invariant variables, evidence from Neurophsiology, alignment paradigm
  • E. Sahin, M. Cakmak, M.R. Dogar, E. Ugur, G. Ucoluk, To afford or not to afford: A new formalization of affordances towards affordance-based robot control, Adaptive Behavior, 15(4), pp. 447-472, 2007.
  • (Section III and IV) L. Jamone, E. Ugur, A. Cangelosi, L. Fadiga, A. Bernardino, J. Piater, J. Santos-Victor, Affordances in psychology, neuroscience and robotics: a survey, IEEE Transactions on Cognitive and Developmental Systems, 10(1), pp. 4-25, 2018.
Intro to Neural Nets: McCulloch and Pitts neurons, perceptrons, hebbian learning, hopfield nets
  • McCulloch, Warren S., and Walter Pitts. "A logical calculus of the ideas immanent in nervous activity." The bulletin of mathematical biophysics 5.4 (1943): 115-133.(optional)
  • Lecture notes for McCullogh-Pitts and Rosenblatt Neural Networks: http://ecee.colorado.edu/~ecen4831/lectures/NNet2.html
Guest Lecture: Yagmur Denizhan; Information, ontological dualism, Macy Conferences, Code duality
  • Dupuy, On the origins of cognitive science, chapters 1,2
  • Jesper Hoffmeyer (2002): “Code Duality Revisted”, SEED (Semiotics, Evolution, Energy, and Development) 2 (1), pp. 1-19.
Sensory Processing: Motor and sensory areas, visual pathways, overview of senses
Guest Lecture: Inci Ayhan
  • What Illusions Taught Us
Multi-sensory Integration: Perceptual fusion, multi-sensory integration in cortex, receptive fields,
Inci Ayhan: Visual Attention Slides
Pavel Logacev: Language, a brief overview, linguistic competence, phrase structure, creativity and recursion, animals and language, linguistic diversity, language and thought, determinism, relativism, Slides
Ena Hodzik: Comprehension and Production Studies, Bilingual representations, Stroop effect, the Simon Task, Process research, Recursive models, keystroke logging, eye tracking studies Slides
Intro To Machine Learning, regression, classification, perceptron learning rule, clustering, k-means Slides
Cognitive Development, Piaget's Stages of Cognitive Development, Assimilation-Accomodation, Object Permanence, Development of Imitation, Three-mountain test, Conservation test, Theory of Mind Slides
Constucting memories; explicit vs. implicit memory; information processing (three-boxes) model of memory; sensory memory; short-term/long-term/episodic memory
  • Atkinson&Hilgard's Introduction to Psychology, Chapter 8, Memory
  • Miller, George A. "The magical number seven, plus or minus two: some limits on our capacity for processing information." Psychological review 63.2 (1956): 81. (optional)
Reasoning: Rationality; bounded rationality; paradoxes, heuristics and biases;
  • Atkinson Hilgard's Introduction to Psychology Chapter 9,

Grading: TBA
  • Quizzes: 10
  • 10 homeworks: 30
  • midterm: 20
  • final: 20
  • project: 20

Project: Project or term paper.
Quizzes: One quiz in each lecture at a random time. Please bring your own paper.
Cheating: Any sharing or copying will be considered as cheating. Please do not cheat! See CMPE procedures for cheating behavior.