'State transition function' diaporamas de présentation

___________________________________________ COMPILER Theory

BANHA UNIVERSITY FACULTY OF COMPUTERS AND INFORMATIC. Fourth Year (First Semester). ___________________________________________ COMPILER Theory ___________________________________________. Lecture two. Dr. Hamdy M. Mousa. Implementation Techniques.

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Discrete Event Models

Discrete Event Models. Types of Software System. Batch application Interactive Embedded or real-time application Control systems (robots, manufactory) Distributed data or processes Data centric Knowledge-based Peer-to-peer and client-server Web-based applications.

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Discrete Event Models

Discrete Event Models. Types of Software System. Batch application Interactive Real-time (sensor-based) Embedded Distributed data or processes Data centric Knowledge-based Peer-to-peer and client-server.

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Lecture 19. Systems and Feedback Reading Assignment: TMB2 Section 3.1 and 3.2

Michael Arbib: CS564 - Brain Theory and Artificial Intelligence University of Southern California, Fall 2001. Lecture 19. Systems and Feedback Reading Assignment: TMB2 Section 3.1 and 3.2 Note: Self-study on eigenvalues: TMB2, pp.107,108,111-115. A System is Defined by Five Elements.

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State-Space Search and the STRIPS Planner

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Lecture 19. Systems and Feedback Reading Assignment: TMB2 Section 3.1 and 3.2

Michael Arbib: CS564 - Brain Theory and Artificial Intelligence University of Southern California, Fall 2001. Lecture 19. Systems and Feedback Reading Assignment: TMB2 Section 3.1 and 3.2 Note: Self-study on eigenvalues: TMB2, pp.107,108,111-115. A System is Defined by Five Elements.

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CMPUT 551 Analyzing abstraction and approximation within MDP/POMDP environment

CMPUT 551 Analyzing abstraction and approximation within MDP/POMDP environment. Magdalena Jankowska (M.Sc. - Algorithms) Ilya Levner (M.Sc - AI/ML). OUTLINE. Project Overview Analytical results Maze Domain Experiments Results Conclusions and Future Work. MDP environment: Maze domain.

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State Machine

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Propagating Uncertainty In POMDP Value Iteration with Gaussian Process

Propagating Uncertainty In POMDP Value Iteration with Gaussian Process. Written by Eric Tuttle and Zoubin Ghahramani Presenter by Hui Li May 20, 2005. Outline: Framework of POMDP Framework of Gaussian Process Gaussian Process Value Iteration Results Conclusions. Framework of POMDP.

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by Dr. Michael P. Frank, University of Florida Modified by Longin Jan Latecki, Temple University

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State Machines

State Machines. Another look at D latch/flip-flop. This is an example of a state diagram more specifically a Moore machine. q new = D. Synchronous state machines. If a system can both process and store information, then the values stored in the memory elements depend on both the

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by Dr. Michael P. Frank, University of Florida Modified by Longin Jan Latecki, Temple University

144 views • 14 slides