Artificial Intelligence: Biocognitive Intelligence (2010 Fall)
  • School of Computer Science and Engineering, Seoul National University
  • Instructor: Prof. Byoung-Tak Zhang
  • TA: Ho-Sik Seok (Room: 138-410, TEL: 872-5127)
  • Classroom: 302-209
  • Time: Mon 09:30-10:45 and Wed 09:30-10:45
  • Objectives
    • To understand the principles of cognitive information processing in the human brain
    • To get ideas on developing computational methods to imitate the human cognition, learning, and memory
    • To acquire the theoretical and technical tools for application of artificial intelligence
    • To understand the history and future prospects of bio-inspired artificial intelligence
  • Textbook
    • Artificial Intelligence: A New Synthesis, Nils J. Nilsson, Morgan Kaufmann, 1998. [AI]
    • Cognitive Neuroscience: The Biology of the Mind, Third Edition, M.S. Gazzaniga, R.B. Ivry, and G.R. Mangun, Norton & Company, 2008. [CNS]
  • References:
    • Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory, IEEE Computational Intelligence Magazine, 3(3):49-63, 2008. [IEEE-CIM, 2008]
  • Evaluation:
    • two exams (40%)
    • two miniprojects (40%)
    • presentation (10%)
    • participation in discussion (10%)
  • Announcements:
  • Projects:
  • Schedule
- 9/1 Wed: AI History and Highlights [AI_Intro]
- 9/6 Mon: Brain, Mind, AI, and BI [IEEE-CIM-2008]
- 9/8 W: Machine Learning: Neural Nets 1 [Neural Networks (bw)] (Revised!)
- 9/13 M: Machine Learning: Neural Nets 2  
Project 1 Announced (Due 10/13)
- 9/15 W: Machine Learning: Neural Nets 3  
- 9/20 M: No class (Thanksgiving holiday)
- 9/22 W: No class (Thanksgiving holiday)
- 9/27 M: Machine Learning: Neural Nets 4
                Machine Evolution: Genetic Programming 1		  
[EC-Tutorial, AI-Ch.4]
- 9/29 W: Machine Evolution: Genetic Programming 2  
- 10/4 M: Machine Evolution: Evolutionary Algorithms  
- 10/6 W: Bayesian Nets [AI Ch. 19 & BN suppl]
- 10/11 M: Intelligent Agents [Agents, Agents suppl (bw)
- 10/13 W: Cognitive Agents [MMG]
Due of Project 1
- 10/18 M: Exam 1 (Learning, Evolution, Search, Reasoning, Previous exams)

- 10/20 W: Brain Networks

 [fMRI]

Project 2 (Read this material carefully, PDF)
- 10/25 M: Vision 1 [CNS Ch. 6]
Paper Assignment (see the list below)
- 10/27 W: Vision 2 [CNS Ch. 6]
- 11/1 M: Language 1 [CNS Ch. 10]
- 11/3 W: Language 2 [CNS Ch. 10]
- 11/8 M: Learning and Memory [CNS Ch. 8]
- 11/10 W: Neural Basis of Cognition [CNS Ch. 2]

Exam 2 Announced (Take-Home Exam) (Due 12/6)(NEW!)

- 11/15 M: Paper Presentation 1(Schedule)
- 11/17 W: Paper Presentation 2
- 11/22 M: Paper Presentation 3
- 11/24 W: Paper Presentation 4
- 11/29 M: Future of AI [IEEE-CIM-2008]
[HLAI 2009]

- 12/1 W: Wrap-Up

- 12/6: (Extended)

Due of Project 2
- 12/13 : Due of Take-Home Exam (Exam 2)

Papers to be presented and discussed:
[1] Aleksander, I., Designing conscious systems, Cognitive Computation, 1(1): 22-28, 2009. [pdf]
[2] Brooks, R., Prospects for human level intelligence for humanoid robots, Proceedings of First Int. Symposium on Humanoid Robots, 1996. [pdf]
[3] Campbell, M., Hoane, Jr., A. J., and Hsu, F.-H., Deep Blue, Artificial Intelligence, 134(1-2):57-83, 2002. [pdf]
[4] Cassimatis, N., Mueller, E. T., and Winston, P. T., Achieving human-level intelligence through integrated systems and research, AI Magazine, 27(2): 12-14, 2006. [pdf]
[5] Fahlman, S. E., Hinton, G. E., and Sejnowski, T. J., Massively parallel architectures for AI: NETL, Thistle and Boltzmann machines, Proceedings of AAAI-83 Conference, 1983. [pdf]
[6] Feldman, J. A. and Ballard, D. H., Connectionist models and their properties, Cognitive Science, 6(3): 205-154, 1982. [pdf]
[7] Fogel, D. B., Hays, T. J., Hahn, S. L., Quon, J., The Blondie25 chess program competes against Fritz 8.0 and a human chess master, 2006 IEEE Symposium on Computational Intelligence and Games, pp. 230-235, 2006. [pdf]
[8] Frantz, R., Herbert Simon. Artificial intelligence as a framework for understanding intuition, Journal of Economic Psychology, 24: 265-277, 2003. [pdf]
[9] Goertzel, B., Toward a roadmap for human-level artificial general intelligence, http://www.agi-roadmap.org/images/HLAIR.pdf, 2009. [pdf]
[10] Goldberg, D. E., Genetic and evolutionary algorithms come of age, Communications of the ACM, 37(3): 113-119, 1994. [pdf]
[11] Laird, J. Human-level AI's killer application: Interactive computer games, AI Magazine, 22(2): 15-25, 2001. [pdf]
[12] Langley, P., Cognitive architectures and general intelligent systems, AI Magazine, 27(2): 33-44, 2006. [pdf]
[13] McCarthy, J., From here to human-level AI, Artificial Intelligence, 171: 1174-1182, 2007. [pdf]
[14] McClelland, J. L., Is a machine realization of truly human-like intelligence achievable?, Cognitive Computation, 1(1): 4-16, 2009. [pdf]
[15] Minsky, M., Singh, P., and Sloman, A., The St. Thomas Common Sense Symposium: Designing architectures for human-level intelligence, AI Magazine, 25(2): 113-124, 2004. [pdf]
[16] Newell, A. and Simon, H. A., Computer science as empirical inquiry: Symbols and search, Communications of the ACM, 19(3): 113-126, 1976. [pdf]
[17] Nilsson, N. J., Human-level artificial intelligence? Be serious!, AI Magazine, 26(4): 68-75, 2005. [pdf]
[18] Rumelhart, D. E., Widrow, B., and Lehr, M. A., The basic ideas in neural networks, Communications of the ACM, 37(3): 87-92, 1994. [pdf]
[19] Samuel, A. L., Some studies in machine learning using the game of checkers. II-Recent progress, Annual Review in Automatic Programming, 6(1): 1:36, 1969. [pdf]
[20] Tesauro, G. and Sejnowski, T.J., A parallel network that learns to play backgammon, Artificial Intelligence, 39(3):357-390, 1989. [pdf]
[21] Thrun, S., A personal account of the development of Stanley, the robot that won the DARPA Grand Challenge, AI Magazine, 27(4): 69-82, 2006. [pdf]
[22] Turing, A. M., Computing machinery and intelligence, Mind, 59: 433-460, 1950. [pdf]

To check the list of paper assignments, please see the lecture board. (New!)
Three more papers are added, and the numbering is changed.(New!)
Lecture Board

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Last Update: Oct 03, 2010.