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Main.IntelligentSystemsr1.5 - 27 Sep 2007 - 16:12 - Main.novatopic end
---++ Intelligent Systems
Foundational issues in intelligent systems
   * History of Intelligent systems 
   * Philosophical questions
      * The Turing test
      * Searle’s “Chinese Room” thought experiment
      * Ethical issues in AI

Search & Constraint Satisfaction
   * State-Operator model of Problem spaces 
   * Brute-force search
      * Breadth-first search
      * Depth-first search
      * Depth-first search with iterative deepening
   * Best-first search (generic best-first, Dijkstra’s algorithm, A*, admissibility of A*) 
   * Two-player games (minimax search, alpha-beta pruning) 
   * Advanced Search
      * Genetic algorithms
      * Simulated annealing
      * Local search
   * The role of heuristics

Knowledge Representation & Reasoning
   * Resolution and theorem proving
   * Nonmonotonic inference
   * Probabilistic reasoning
   * Bayes theorem
   * Structured representation
      * Frames and objects
      * Description logics
      * Inheritance systems
   * Nonmonotonic reasoning
      * Nonclassical logics
      * Default reasoning
      * Belief revision
      * Preference logics
      * Integration of knowledge sources
      * Aggregation of conflicting belief
   * Reasoning on action and change
      * Situation calculus
      * Event calculus
      * Ramification problems
   * Temporal and spatial reasoning
   * Uncertainty
      * Probabilistic reasoning
      * Bayesian nets
      * Fuzzy sets and possibility theory
      * Decision theory
   * Knowledge representation for diagnosis, qualitative representation

Agents
   * Definition of agents
   * Successful applications and state-of-the-art agent-based systems
   * Agent architectures
      * Simple reactive agents
      * Reactive planners
      * Layered architectures
      * Example architectures and applications
   * Agent theory
      * Commitments
      * Intentions
      * Decision-theoretic agents
      * Markov decision processes (MDP)
   * Software agents, personal assistants, and information access
      * Collaborative agents
      * Information-gathering agents
      * Believable agents (synthetic characters, modeling emotions in agents)
      * Learning agents
   * Multi-agent systems
      * Economically inspired multi-agent systems
      * Collaborating agents
      * Agent teams
      * Agent modeling
      * Multi-agent learning
   * Introduction to robotic agents
   * Mobile agents

Natural Language Processing
   * Deterministic and stochastic grammars
   * Parsing algorithms
   * Corpus-based methods
   * Information retrieval
   * Language translation
   * Speech recognition

Machine Learning
   * Supervised learning
   * Decision trees
   * Neural networks
   * Belief networks
   * Nearest neighbor algorithm
   * Learning theory
   * The problem of overfitting
   * Unsupervised learning
   * Reinforcement learning
   * Support Vector Machines

AI Planning Systems
   * Planning as search
   * Operator-based planning
   * Propositional planning
   * Extending planning systems (case-based, learning, and probabilistic systems)
   * Static world planning systems
   * Planning and execution
   * Planning and robotics

Robotics
   * State-of-the-art robot systems
   * Planning vs. reactive control
   * Uncertainty in control
   * Sensing
   * World models
   * Configuration space
   * Planning
   * Sensing
   * Robot programming
   * Navigation and control
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