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Artificial Intelligence 1: Planning

Artificial Intelligence 1: Planning

Artificial Intelligence 1: Planning. Lecturer: Tom Lenaerts SWITCH, Vlaams Interuniversitair Instituut voor Biotechnologie. Planning. The Planning problem Planning with State-space search Partial-order planning Planning graphs Planning with propositional logic

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923 views • 58 slides
Artificial Intelligence: Planning

Artificial Intelligence: Planning

Artificial Intelligence: Planning. Planning. The Planning problem Planning with State-space search Partial-order planning Planning graphs Planning with propositional logic Analysis of planning approaches. What is Planning.

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582 views • 57 slides
Knowledge Search

Knowledge Search

Knowledge Search. CPTR 314. Approaches to Searching. There are two main approaches to searching a search tree Data-driven search Goal-driven search. Data-Driven search.

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529 views • 52 slides
Informed search algorithms

Informed search algorithms

Informed search algorithms. Chapter 4 Slides derived in part from www.cs.berkeley.edu/~russell/slides/chapter04a.pdf, converted to powerpoint by Min-Yen Kan, National University of Singapore,

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588 views • 44 slides
Search I: Chapter 3 Aim: achieving generality

Search I: Chapter 3 Aim: achieving generality

Search I: Chapter 3 Aim: achieving generality. Q: how to formulate a problem as a search problem?. Search (one solution). Brute force DFS, BFS, iterative deepening, iterative broadening Heuristic Best first, beam, hill climbing, simulated annealing, limited discrepancy Optimizing

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570 views • 35 slides
Evolving Hyper-Heuristics using Genetic Programming

Evolving Hyper-Heuristics using Genetic Programming

Evolving Hyper-Heuristics using Genetic Programming. Supervisor: Moshe Sipper Achiya Elyasaf. Overview. Introduction Searching Games State-Graphs Uninformed Search Heuristics Informed Search Evolving Heuristics Previous Work Rush Hour FreeCell. Representing Games as State-Graphs.

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305 views • 30 slides
3. Classification Methods

3. Classification Methods

3. Classification Methods. Patterns and Models Regression, NBC k-Nearest Neighbors Decision Trees and Rules Large size data. Models and Patterns. A model is a global description of data, or an abstract representation of a real-world process Estimating parameters of a model

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408 views • 28 slides

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