Date: Mon, 02 Dec 1996 15:39:28 GMT Server: NCSA/1.4.2 Content-type: text/html Last-modified: Thu, 10 Oct 1996 21:50:48 GMT Content-length: 1660 Syllabus:

CSE 573 Topics

  1. Intelligent Agents

    Percepts & Actions

    Agent Architectures

    Environmental Properties

  2. Search

    Problem spaces

    Brute force: depth-first, breadth-first, iterative-deepening, bi-directional

    Constraint satisfaction

    Heuristic search: A*, IDA*, SMA*

    Optimization & techniques from operations research

  3. Knowledge Representation & Reasoning

    Propositional Logic: Syntax, Semantics, Inference, Expressiveness

    First Order Logic: Syntax, Semantics, Inference, Expressiveness

    The fundamental tradeoff in knowledge representation

  4. Planning & Acting

    Representing actions: STRIPS, ADL, & the situation calculus

    The classical planning problem

    Planning as search: world-states & plan-states

    The POP & UCPOP algorithms

    Operator graph optimizations

    Incomplete information & Sensing

    Reactive approaches

  5. Learning

    Search through version space

    PAC learning

    Induction algorithms & decision trees

    Inductive logic programming

    Explanation-based generalization

  6. Reasoning about Uncertainty

    Bayesian belief networks

    Decision analysis

  7. Methodology

    The form of AI theories

    Experimental methodology

    Benchmarks & testbeds