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APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science)

Nikolaos G. Bourbakis

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Description:Learning and planning are two important topics of artificial intelligence. Learning deals with the algorithmic processes that make a computing machine able to "learn" and improve its performance during the process of complex tasks. Planning on the other hand, deals with decision and construction processes that make a machine capable of constructing an intelligent plan for the solution of a particular complex problem.This book combines both learning and planning methodologies and their applications in different domains. It is divided into two parts. The first part contains seven chapters on the ongoing research work in symbolic and connectionist learning. The second part includes seven chapters which provide the current research efforts in planning methodologies and their application to robotics.Contents: An Introduction to Learning and Planning "(N G Bourbakis)"Embedding Learning in a General Frame-Based Architecture "(T Tanaka & T M Mitchell)"Connectionist Learning with CHEBYCHEV Networks and Analysis of its Internal Representation "(A Namatame)"Layered Inductive Learning Algorithms and their Computational Aspects "(H Madala)"An Approach to Combining Explanation-Based and Neural Learning Algorithms "(J W Savlick & G G Towell)"The Application of Symbolic Inductive Learning to the Acquisition and Recognition of Noisy Texture Concepts "(P W Pachowicz)"Automating Technology Adaptation in Design Synthesis "(J R Kipps & D D Gajski)"Connectionist Production Systems in Local and Hierarchical Representation "(A Sohn & J L Gaudiot)"A Parallel Architecture for AI Non-Linear Planning "(S Lee & K Chung)"Heuristic Tree Search Using Nonparametric Statistical Inference Methods "(W Zhang & N S V Rao)"An A∗ Approach to Robust Plan Recognition for Intelligent Interfaces "(R J Calistri-Yeh)"Differential A∗ An Adaptive Search Method Illustrated with Robot Path Planning for Moving Obstacles and Goals and an Uncertain Environment "(K I Trovato)"Path Planning Under Uncertainty "(F Yegenoglu & H E Stephanou)"Knowledge-Based Acquisition in Real-Time Path Planning in Unknown Space "(N G Bourbakis)"Path Planning for Two Cooperating Robot Manipulators "(Q Xue & P C Y Sheu)"Readership: Computer scientists, graduate students and researchers.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science). To get started finding APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 9810205465

Description: Learning and planning are two important topics of artificial intelligence. Learning deals with the algorithmic processes that make a computing machine able to "learn" and improve its performance during the process of complex tasks. Planning on the other hand, deals with decision and construction processes that make a machine capable of constructing an intelligent plan for the solution of a particular complex problem.This book combines both learning and planning methodologies and their applications in different domains. It is divided into two parts. The first part contains seven chapters on the ongoing research work in symbolic and connectionist learning. The second part includes seven chapters which provide the current research efforts in planning methodologies and their application to robotics.Contents: An Introduction to Learning and Planning "(N G Bourbakis)"Embedding Learning in a General Frame-Based Architecture "(T Tanaka & T M Mitchell)"Connectionist Learning with CHEBYCHEV Networks and Analysis of its Internal Representation "(A Namatame)"Layered Inductive Learning Algorithms and their Computational Aspects "(H Madala)"An Approach to Combining Explanation-Based and Neural Learning Algorithms "(J W Savlick & G G Towell)"The Application of Symbolic Inductive Learning to the Acquisition and Recognition of Noisy Texture Concepts "(P W Pachowicz)"Automating Technology Adaptation in Design Synthesis "(J R Kipps & D D Gajski)"Connectionist Production Systems in Local and Hierarchical Representation "(A Sohn & J L Gaudiot)"A Parallel Architecture for AI Non-Linear Planning "(S Lee & K Chung)"Heuristic Tree Search Using Nonparametric Statistical Inference Methods "(W Zhang & N S V Rao)"An A∗ Approach to Robust Plan Recognition for Intelligent Interfaces "(R J Calistri-Yeh)"Differential A∗ An Adaptive Search Method Illustrated with Robot Path Planning for Moving Obstacles and Goals and an Uncertain Environment "(K I Trovato)"Path Planning Under Uncertainty "(F Yegenoglu & H E Stephanou)"Knowledge-Based Acquisition in Real-Time Path Planning in Unknown Space "(N G Bourbakis)"Path Planning for Two Cooperating Robot Manipulators "(Q Xue & P C Y Sheu)"Readership: Computer scientists, graduate students and researchers.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science). To get started finding APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science)

APPLICATIONS OF LEARNING AND PLANNING METHODS (World Scientific Computer Science)

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