# 'Initial state' diaporamas de présentation

## Finite Automata

Finite Automata. Finite Automaton. Input. String. Output. “Accept” or “Reject”. Finite Automaton. Transition Graph. initial state. accepting state. transition. state. Initial Configuration. Input String. Reading the Input. Input finished. accept. Rejection.

By andrew
(446 views)

## State-Space representation and Production Systems

State-Space representation and Production Systems Introduction: what is State-space representation? (E.Rich, Chapt.2) Basis search methods. (Winston, Chapt.4 + Russel&Norvig) Optimal-path search methods. (Winston, Chapt.5 + Russel&Norvig)

By oshin
(596 views)

## Design for Testability Theory and Practice Lecture 11: BIST

Design for Testability Theory and Practice Lecture 11: BIST. Definition of BIST Pattern generator LFSR Response analyzer MISR Aliasing probability BIST architectures Test per scan Test per clock Circular self-test Memory BIST Summary. Define Built-In Self-Test.

By Gabriel
(584 views)

## Closure Properties of Context-Free languages

Closure Properties of Context-Free languages. Union. Context-free languages are closed under:. Union. is context free. is context free. is context-free. Example. Language. Grammar. Union. In general:. For context-free languages with context-free grammars and start variables .

By sandra_john
(438 views)

## Non Deterministic Automata

Non Deterministic Automata. Nondeterministic Finite Accepter (NFA). Alphabet =. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. No transition. No transition. First Choice. First Choice. First Choice.

By rigg
(170 views)

## Are there ab initio methods to estimate the singlet exciton fraction in light emitting polymers ?

Are there ab initio methods to estimate the singlet exciton fraction in light emitting polymers ?. William Barford. n. R. R. n. Light emitting polymers. Electroluminescence discovered in semiconducting polymers in 1989 at the Cavendish Laboratory. Full colour spectrum. PPV:. PFO:.

By yule
(211 views)

## LTL Model Checking

LTL Model Checking. 15-820A Flavio Lerda. LTL Model Checking. LTL Subset of CTL* of the form: A f where f is a path formula LTL model checking Model checking of a property expressed as an LTL formula: Given a model M and an initial state s 0 : M,s 0 ╞ A f. LTL Formulas.

By lumina
(200 views)

## Which of the experiments has resulted in an equilibrium state? What is the value of the equilibrium constant for the rea

13.28 Consider the interconversion of A molecules (red spheres) and B molecules (blue spheres) according to the reaction A B. Each of the following series of pictures represents a separate experiment in which time increases from left to right:.

By hafwen
(1631 views)

## Problem solving by Searching

Problem solving by Searching. Problem Formulation. 1. 1. 2. 2. 3. 3. 4. 4. 5. 8. 6. 7. 7. 6. 8. 5. 8-Puzzle problem. Solve the following 8-Puzzle problem by moving tiles left, down, up and right. Initial State. goal State. 1. 1. 1. 2. 2. 3. 3. 3. 2. 4. 4. 8. 5. 8.

By lilith
(207 views)

## Autonomous Helicopter Flight Via Reinforcement Learning

Autonomous Helicopter Flight Via Reinforcement Learning. Yanjie Li Harbin Institute of Technology Shenzhen Graduate School. Outline. Introduction Autonomous Helicopter Model Identification Reinforcement Learning (RL) Learning to Hover Flying Competition Maneuvers. Introduction.

By MikeCarlo
(265 views)

The TCP Segment Header. TCP header length in 32 bit words, URG-urgent, ACK- ack number is valid, PSH-push, RST-reset connection, SYN-used to establish connection, FIN-used to release connection. The TCP Segment Header (2).

By tekla
(385 views)

## Lecture 3: Hess’ Law

Lecture 3: Hess’ Law. Reading: Zumdahl 9.5 Outline Definition of Hess’ Law Using Hess’ Law (examples). First Law: Energy of the Universe is Constant E = q + w q = heat. Transferred between two bodies w = work. Force acting over a distance (F x d).

By winda
(203 views)

## Sessions 1 & 2 Introduction to AI; Planning & Search

Sessions 1 & 2 Introduction to AI; Planning & Search. CSE 592 Applications of Artificial Intelligence Henry Kautz Winter 2003. What is Intelligence? What is Artificial Intelligence?. What is Artificial Intelligence?.

By konane
(632 views)

## Compound nucleus reactions

Compound nucleus reactions. Consider the data Propose a model. Consider these data…. Same final state; different initial state. Varying energies for p and . Consider these data…. Each initial state can produce all three final states.

By maya
(171 views)

## Artificial Intelligence Problem solving by searching CSC 361

Artificial Intelligence Problem solving by searching CSC 361. University of Berkeley, USA http://www.aima.cs.berkeley.edu. Problem Solving by Searching. Why search ? Early works of AI was mainly towards proving theorems solving puzzles playing games All AI is search !

By trevet
(117 views)

## Introduction to State Space Search

Introduction to State Space Search. Robin Boswell. Contents. How to represent a problem in the form of a state-space search Some formal definitions Initial states, goal states, operators The painted squares example Choice of operators affects the search space

By kare
(224 views)

## Chapter 3 Cells Physiology

Chapter 3 Cells Physiology. Do you remember learning about?. Membrane Transport -Passive -Active. Membrane Transport. Movement into and out of cells to maintain HOMEOSTASIS. Filtration. Fill in as we go. Cellular Fluids. Solution Solvent – dissolving medium (ex. water)

By dyami
(272 views)

## Uniform Cost Search

Uniform Cost Search. G5AIAI – Introduction to AI. Uniform cost search.

By quito
(211 views)

## What is a conceptualization?

C. A. B. C. A. B. Initial state. Goal. What is a conceptualization?. An explicit representation of the objects and relations among them existing the world of interested Ex. A block world. Conceptualization 1 Objects: Relations: block A on(X, Y) block B above(X, Y)

By powa
(138 views)

## Nonregular Languages

Nonregular Languages. Section 2.4 Wed, Oct 5, 2005. Countability of the Set of DFAs. Theorem: The set of all DFAs (over an alphabet  ) is countable. Proof: For a given n > 0, let S n be the set of all DFAs with exactly n states. How many DFAs are in S n ?