CPE 566 - Intelligent Systems Design
System Modelling (Biological and Cognitive Paradigms, Dynamical Systems, Turing Machines and Concepts of Machine Intelligence, Intelligent Agents). Principles of Control (Open- and Closed-Loop Control, Optimality and Constraints, Stability and Performance). Principles of Measurement and Estimation (Sensors and Sensing, Probability and Error Models, Classifiers). Principles of Decision- Making (Crisp and Fuzzy Logic, Decision Trees, Case-based Reasoning, Bayesian Belief Networks, Path Planning). Numerical Methods (Evaluation and Search, Monte Carlo Simulation, Genetic Algorithms, Simulated Annealing, Particle Swarm Optimization).