Course 4190.408:
Artificial Intelligence: Biointelligence (2008)
132.551: Computational Models of Intelligence

School of Computer Science and Engineering, Seoul National University
Instructor: Prof. Byoung-Tak Zhang
TA: Min-Oh Heo (Room : 301-417, Tel : 880-1835)
Classroom: 301-203
Time: Mon 09:00-10:15 and Wed 09:00-10:15
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
• Cognitive Neuroscience: The Biology of the Mind, M.S. Gazzaniga, R.B. Ivry, and G.R. Mangun, Norton & Company, 2002. [CNS]
• Artificial Intelligence: A New Synthesis, Nils J. Nilsson, Morgan Kaufmann, 1998. [AI]
References
1. Hyperinteractionism: Investigations into Artificial Minds Beyond Symbolism, Connectionism, and Dynamicism Natural Science, 144-165, Summer 2005. [HI, 2005]
2. Molecular Nanobiointelligence Computers: Computer Science Meets Biotechnology, Nonotechnology, and Cognitive Science, Communications of the Korea Information Science Society, 23(5):41-56, 2005. [NBIC, 2005]
3. Artificial Intelligence: Past, Present and Future (in Korean), In Computers in the 21st Century, Chap. 11, Kyohaksa, pp.176-200, 1998. [AI-PPF, 1998]
   
Evaluation:
• three exams (60%)
  
• two small-scale projects (30%)
  
• presence and participation in discussion (10%)
Projects:
• Project #1: Text Classification by Neural Networks / Brief usage / ExplorerGuide
• Project #2: Function Regression by Genetic Programming / Experiment Data / GP Matlab Toolbox / GPLib Home

Schedule

Topic	Reference
Computers, Intelligence, Mind, and Brain	AI_Intro (bw), AI Ch. 1, CNS Ch. 1 (bw), [NBIC, 2005]
Neural Networks	AI Ch.3 color, AI Ch.3 gray, Ch3Org, NNº¸ÃæÀÚ·á , Neural Networks (in Korean)
Genetic Programming	Chapter 4, º¸ÃæÀÚ·á, Learning and Optimization by Artificial Evolution (in Korean)
Discussion and 1st Exam (April 7: NN & GP)
Heuristic Search	AI Chs. 8 & 9
Logical Reasoning	AI Chs. 13 & 14
The Predicate Calculus	AI Chs. 15 & 16
Knowledge-Based Systems	AI Ch. 17-1, 17-2
Bayesian Networks	AI Ch. 19, Ref
Intelligent Agents	AI Ch. 25, Intelligent Agents
Discussion and 2nd Exam (May 26: Search & Logic)
Cellular and Molecular Basis of Cognition	CNS Ch.2 (bw)
Perception and Vision	CNS Chs. 5 (bw) & 6 (bw)
Learning and Memory	CNS Ch. 8 (bw)
Language and the Brain	CNS Ch. 9 (bw)
Action and Decision Making	CNS Ch. 11 (bw), Ch. 12 (bw)
Future of AI	[NBIC, 2005][HI, 2005][NCC, 2005]
Final Exam (June 11: Ch.2,8,9 on CNS)	-

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Previous AI Courses

AI Course in 2007 Spring / AI Course in 2006 Fall / AI Course in 2006 Spring /
AI Course in 2005 Fall / AI Course in 2005 Spring / AI Course in 2004 /
AI Course in 2002 / AI Course in 2001 / AI Course in 2000 /
AI Course in 1999 / AI Course in 1998 / AI Course in 1997

This Page is maintained by Min-Oh Heo
Last Update: May. 21, 2008.