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What Is AI?
Traditional AI
Traditional AI
General Problem Solver
Examples
General Problem Solving
Process
General Problem Solving
Strategy
Game Playing
Game Trees
Game Playing
Problem Space
Knowledge Directed Search
Chess Status
AI Paradigm
Knowledge Representation
Issues
Knowledge Representation
Key Factors
KR Approaches
AI Subdomains
Modern AI Perspective
Agents
Common Threads
Turing Test
Weak AI
Strong AI
Major Areas of AI
AI Area: Optimization
AI Area: Stochastic Optimization
LISP
LISP: Symbols
LISP: Symbolic Expressions
LISP: Underlying Representation
LISP: list construction
LISP: list traversal
LISP - list manipulation
LISP functions
LISP Program
LISP control flow
LISP REPL
AI Goal
Cognitive Approach
CS/Engineering Approach
State Space Search
Initial State:
State Space Search
Goal State
State Space Search
Generator
State Space Search
TSP
State Space Search
TSP Problems
State Space Search
Boolean Sat
General Search Strategies
Uninformed Search Examples
Search: Informed
Examples
Search: Informed
Examples
A*
Search: Informed
Examples
Search: Informed
Look Ahead
Special Search:
Adversarial Games
Game Tree
Minimax
State Space
Approach
Solution State Search
Solution Space search
TSP
Solution Space Search
Heuristics
Special Search
Natural Computation
Special Search:
Natural Search:
Simulated Annealing
Special Search
Natural Computation
Evolutionary Computation
Special Search
Natural Logic
Ant Colony Optimization
Datadrive vs Goal Directed
General Search
Uninformed vs Informed
General Search
Admissible vs Inadmissible
Uninformed Search
Breadth First
Uninformed Search
Breadth First - Pros
Uninformed Search
Breadth-First Cons
Uninformed Search
Uniform-cost search
Uninformed Search
Depth-first Search
Uninformed Search
Depth-first search
Pros & Cons
Uninformed Search
Depth-
Limited Search
Uninformed Search
Dept-First Search
Pros & Cons
Uninformed Search
Iterative Deepening Depth First Search
Uninformed Search
Iterative Deepening depth-first search
Uninformed Search
Iterative Deepening
Pros & Cons
Uninformed Search
Bidirectional Search
Uninformed Search
Bidirectional Search
Pros & Cons
Uninformed Search Strategies
Comparison
Informed Search
Heuristic function
Greedy Best First
Greedy Best First
Pros & Cons
Informed Search
A*
A*
Heuristic
Informed Search
Hill Climbing
Hill Climbing
Issues
Gradient Descent
Simulated Annealing
Solution State Search
genetic algoritm
Natural Computation
Evolutionary Computation
Evolution Computation Pseudocode
Minimax algorithm
Alpha Beta Pruning
KR
Types of Knowledge
Properties of Knowledge
Knowledge Representation Issues
KR Extremes
KR - Practical Systems
Propositional Logic
Truth Table
Modus Ponens
And-Elimination
Biconditional Inference Rules
deMorgan's Rule
Satisifiability
Propositional Logic
Validity
Propositional Logic
Logical Equivalence
Propositional Logic
Monotonicity
Propositional Logic
Resolution
Propositional Logic
Resolution
Conjunctive Normal Form
CNF
Sample Conversion
Forward Chaining
Deductive Closure
Backward Chaining
KR Using Prop Logic
Limitations
first order logic
FOL
Unification
KR using Pred Logic
FOL Example Simplification
FOL
PROS & Cons
Prolog
FOL
Quantifiers
