Ant
CS 4700: Foundations of Artificial Intelligence Bart Selman [email protected] Module: Informed Search Readings R&N - Chapter 3: 3.5 and 3.6.
Applications of informed search optimization problems Algorithm A, admissibility, A* zero-sum game playing minimax principle, alpha-beta pruning Dave.
Reasoning Under Uncertainty. 2 Objectives Learn the meaning of uncertainty and explore some theories designed to deal with it Find out what types of errors.
Tijana Janjusevic Multimedia and Vision Group, Queen Mary, University of London Clustering of Visual Data using Ant-inspired Methods Supervisor: Prof.
Branch & Bound, CSP: Intro CPSC 322 – CSP 1 Textbook § 3.7.4 & 4.0-4.2 January 28, 2011.
applications of informed search optimization problems Algorithm A, admissibility, A*
Advanced Problem Solving Systems: Planning In order to solve nontrivial problems, it is necessary to combine 1.Basic problem solving strategies 2.Knowledge.
Parallel Implementation of Ant Colony Optimization on Traveling Salesman problem
14-IJACT4-184036
Planning
CS 4700: Foundations of Artificial Intelligence
