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Goal Driven Learning


Goal Driven Learning
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Goal Driven Learning


Goal Driven Learning
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Author : Ashwin Ram
language : en
Publisher: MIT Press
Release Date : 1995

Goal Driven Learning written by Ashwin Ram and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book



Analytical Goal Driven Learning Of Procedural Knowledge By Observation


Analytical Goal Driven Learning Of Procedural Knowledge By Observation
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Author : Negin Nejati
language : en
Publisher: Stanford University
Release Date : 2011

Analytical Goal Driven Learning Of Procedural Knowledge By Observation written by Negin Nejati and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Knowledge-based approaches to planning and control offer benefits over classical techniques in applications that involve large yet structured state spaces. However, knowledge bases are time consuming and costly to construct. In this dissertation I introduce a framework for analytical learning that enables the agent to acquire generalizable, domain-specific procedural knowledge in the form of goal-indexed hierarchical task networks by observing a small number of successful demonstrations of goal-driven tasks. I discuss how, in contrast with most algorithms for learning by observation, my approach can learn from unannotated input demonstrations by automatically inferring the purpose of each solution step using the background knowledge about the domain. I discuss the role of hierarchical structure, distributed applicability conditions, and goals in the generalizability of the acquired knowledge. I also introduce an approach for adaptively determining the structure of the acquired knowledge that strikes a balance between generality and operationality, and for making the algorithm robust to changes in the structure of background knowledge. This involves resolving interdependencies among goals using temporal information. I present experimental studies on a number of domains which demonstrate that the quality of acquired knowledge is comparable to handcrafted content in terms of both coverage and complexity. In closing, I review related work and directions for future research.



Ai Magazine


Ai Magazine
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Author :
language : en
Publisher:
Release Date : 1995

Ai Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.




Dna Leadership Through Goal Driven Management


Dna Leadership Through Goal Driven Management
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Author : James R. Ball
language : en
Publisher:
Release Date : 1997

Dna Leadership Through Goal Driven Management written by James R. Ball and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Business & Economics categories.




Development Of Internet Based Learning Experiences


Development Of Internet Based Learning Experiences
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Author : Olga Werby
language : en
Publisher:
Release Date : 2005

Development Of Internet Based Learning Experiences written by Olga Werby and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.




Analytical Goal Driven Learning Of Procedural Knowledge By Observation


Analytical Goal Driven Learning Of Procedural Knowledge By Observation
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Author : Negin Nejati
language : en
Publisher:
Release Date : 2011

Analytical Goal Driven Learning Of Procedural Knowledge By Observation written by Negin Nejati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Knowledge-based approaches to planning and control offer benefits over classical techniques in applications that involve large yet structured state spaces. However, knowledge bases are time consuming and costly to construct. In this dissertation I introduce a framework for analytical learning that enables the agent to acquire generalizable, domain-specific procedural knowledge in the form of goal-indexed hierarchical task networks by observing a small number of successful demonstrations of goal-driven tasks. I discuss how, in contrast with most algorithms for learning by observation, my approach can learn from unannotated input demonstrations by automatically inferring the purpose of each solution step using the background knowledge about the domain. I discuss the role of hierarchical structure, distributed applicability conditions, and goals in the generalizability of the acquired knowledge. I also introduce an approach for adaptively determining the structure of the acquired knowledge that strikes a balance between generality and operationality, and for making the algorithm robust to changes in the structure of background knowledge. This involves resolving interdependencies among goals using temporal information. I present experimental studies on a number of domains which demonstrate that the quality of acquired knowledge is comparable to handcrafted content in terms of both coverage and complexity. In closing, I review related work and directions for future research.



Advances In Case Based Reasoning


Advances In Case Based Reasoning
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Author :
language : en
Publisher:
Release Date : 1994

Advances In Case Based Reasoning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Expert systems (Computer science) categories.




Machine Learning


Machine Learning
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Author : D. Sleeman
language : en
Publisher: Morgan Kaufmann
Release Date : 1992

Machine Learning written by D. Sleeman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


Machine Learning Proceedings 1992.



Web Based Education


Web Based Education
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Author : Information Resources Management Association
language : en
Publisher: IGI Global
Release Date : 2010-01-01

Web Based Education written by Information Resources Management Association and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Computers categories.


"This comprehensive collection offers a compendium of research on the design, implementation, and evaluation of online learning technologies, addressing the challenges and opportunities associated with the creation and management of Web-based applications and communities, instructional design, personalized learning environments, and effective educational delivery"--Provided by publisher.



Artificial Intelligence Vocabulary


Artificial Intelligence Vocabulary
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Author : Noël Lazure
language : en
Publisher: Secrétariat d'État du Canada = Department of the Secretary of State of Canada
Release Date : 1988

Artificial Intelligence Vocabulary written by Noël Lazure and has been published by Secrétariat d'État du Canada = Department of the Secretary of State of Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Anglais (Langue) categories.


Bilingual vocabulary in the field of artificial intelligence containing about 12,000 terms, of which 3,700 are accompanied by definitions. Most of the terms are related to knowledge representation, theorem proving, pattern recognition, cognitive psychology, informatics, natural language processing, automatic program generation, problem solving, image processing, expert systems, speech recognition, modelling, artificial vision, machine translation, computer-assisted translation, learning, man-machine dialogue, and logic and linguistics applied to artificial intelligence. Although robotics is often considered a subfield of artificial intelligence, it has been excluded from this vocabulary.