OntologyDesignwithProtg
CSCI724Lecture20
Outline
Ontology design in general
Protg tutorial
Reference: A Practical Guide To Building OWL
Ontologies Using The Protg-OWL Plugin and COODE Tools
Developing
Bayesiannetworks
CSCI724Lecture22
Outline
How to use Bayesian network
How to construct Bayesian network
Chapter 14.1-14.3
Bayesiannetworks
A Bayesian network is a graph with the following:
1. Nodes: S
ProblemSolvingbySearch
CSCI746Lecture2
RecapofWeek1
AI
Agent
Rationality
Environment and Agent
Text: Chapter 1&2
ArtificialIntelligence
4 definitions
2 Systems that act like humans
3 Systems that thin
Uncertainty
CSCI724Lecture21
Outline
Uncertainty
Probability
Independence and Bayes' Rule
Chapter 13
Whatisthis?
UsingUncertainKnowledge
Agents don't have complete knowledge about the
world.
Agents ne
Introduction to Data
Mining
Classification
Saeed Salem
Department of Computer Science
North Dakota State University
http:/cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Miche
Introduction to Data
Mining
Saeed Salem
Department of Computer Science
North Dakota State University
http:/cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Micheline Kamber
2)
Introduction to Data
Mining
Saeed Salem
Department of Computer Science
North Dakota State University
cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Micheline Kamber
2) Tan, S
Introduction to Data
Mining
Classification
Saeed Salem
Department of Computer Science
North Dakota State University
http:/cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Miche
Introduction to Data
Mining
Saeed Salem
Department of Computer Science
North Dakota State University
cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Micheline Kamber
2) Pang-N
Introduction to Data
Mining
Classification-SVM
Saeed Salem
Department of Computer Science
North Dakota State University
http:/cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and M
PropositionalInference
CSCI724Lecture12
Recapoflastweek
Knowledge-based agent
Wumpus World
Logic basics
Propositional logic
KnowledgeBasedAgents
KB = knowledge base
A set of sentences or facts
e.g., a
PrologBasics
CSCI724Lecture16
Recalloflastweek
First order logic reasoning
InferenceapproachesinFOL
Forward-chaining
Useful for systems that make inferences as information
streams
Uses GMP to add new
ArtificialIntelligenceandAgent
CSCI724Lecture1
Outline
Introduction of Artificial intelligence
Agent
Reading: Russell and Norvig chapter 1, 2
WhatisArtificialIntelligence?
Some definitions that have b
IntroductionofLogic
CSCI724Lecture10
Recapoflastweek
Problem reduction search with AND OR graph
Game playing
Problemreductionsearch
Planning how best to solve a problem that can be
recursively decompo
IntroductionofPropositionalLogic
CSCI724Lecture11
Syntax
Propositional logic is the simplest logic illustrates
basic ideas
Atomic sentences = single proposition symbols
E.g., P, Q, R
Special cases: Tr
Inferenceinfirstorderlogic
CSCI724Lecture14
Recapoflastweek
Inference of Propositional logic
First-order logic basics
Proofmethodsinpropositionallogic
Proof methods divide into (roughly) two kinds:
Mo
PrologProgramming
CSCI724Lecture17
RecapofPrologbasics
BasicsofProlog
There are only three basic constructs in Prolog:
facts, rules, called a knowledge base (or a database), and
queries
Prolog program
Introduction to Data
Mining
Saeed Salem
Department of Computer Science
North Dakota State University
http:/cs.ndsu.edu/~salem
These slides are based on slides by 1) Jiawei Han and Micheline Kamber
2)