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Ashwin Ram
  • Language: en
  • Pages: 86

Ashwin Ram

  • Type: Book
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  • Published: 2017-08-29
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  • Publisher: Unknown

Biography of Ashwin Ram, currently Area Manager & Chief Innovation Officer, Interactive Intelligence at PARC, previously Co-Founder & Chairman at OpenStudy.com and Co-Founder & Chairman at OpenStudy.com.

Inside Case-Based Explanation
  • Language: en
  • Pages: 437

Inside Case-Based Explanation

This book is the third volume in a series that provides a hands-on perspective on the evolving theories associated with Roger Schank and his students. The primary focus of this volume is on constructing explanations. All of the chapters relate to the problem of building computer programs that can develop hypotheses about what might have caused an observed event. Because most researchers in natural language processing don't really want to work on inference, memory, and learning issues, most of their sample text fragments are chosen carefully to de-emphasize the need for non text-related reasoning. The ability to come up with hypotheses about what is really going on in a story is a hallmark of...

Talk to Me
  • Language: en
  • Pages: 341

Talk to Me

  • Type: Book
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  • Published: 2019
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  • Publisher: Harper

The Next Big Thing in tech--the impending revolution in voice recognition--and how it will upend Silicon Valley and change how we all live our lives

Goal-driven Learning
  • Language: en
  • Pages: 548

Goal-driven Learning

  • Type: Book
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  • Published: 1995
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  • Publisher: MIT Press

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 tog...

Case-Based Learning
  • Language: en
  • Pages: 171

Case-Based Learning

Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning...

Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence
  • Language: en
  • Pages: 597

Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence

  • Type: Book
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  • Published: 2009-05-31
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  • Publisher: IGI Global

"This book focuses on the integration of emotions into artificial environments such as computers and robotics"--Provided by publisher.

Machine Learning of Robot Assembly Plans
  • Language: en
  • Pages: 244

Machine Learning of Robot Assembly Plans

The study of artificial intelligence (AI) is indeed a strange pursuit. Unlike most other disciplines, few AI researchers even agree on a mutually acceptable definition of their chosen field of study. Some see AI as a sub field of computer science, others see AI as a computationally oriented branch of psychology or linguistics, while still others see it as a bag of tricks to be applied to an entire spectrum of diverse domains. This lack of unified purpose among the AI community makes this a very exciting time for AI research: new and diverse projects are springing up literally every day. As one might imagine, however, this diversity also leads to genuine difficulties in assessing the signific...

Vision and Actualization in Academia
  • Language: en
  • Pages: 191

Vision and Actualization in Academia

Although difficult, change in academic structures is necessary today, especially in fast-changing fields today such as biology, computing, management, the social sciences, and others. This includes changes within existing organizations as well as creation of new structures and reorganizations or eliminations of older ones. This narrative attempts first to document the historical rise of an organization, Georgia Tech’s College of Computing, that has touched and successfully changed the lives of thousands of people. Second, it aims to identify and explicate some of what has led to this widely acknowledged success. The book provides a chronological narrative that highlights major changes take...

Advances in Case-Based Reasoning
  • Language: en
  • Pages: 644

Advances in Case-Based Reasoning

  • Type: Book
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  • Published: 2008-08-29
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  • Publisher: Springer

This volume contains the papers presented at the 9th European Conference on Case-Based Reasoning (ECCBR 2008). Case-based reasoning (CBR) is an arti?cial intelligence approach whereby new problems are solved by remembering, adapting and reusing solutions to a previously solved, similar problem. The collection of previously solved problems andtheirassociatedsolutionsisstoredinthecasebase. Neworadaptedsolutions are learned and updated in the case base as needed. In remembrance of the First European Workshop on Case-Based Reasoning, which took place 15 years ago at the European Academy Otzenhausen, not far from Trier, this year’s conference was especially devoted to the past, present, and fut...

International Handbook of Internet Research
  • Language: en
  • Pages: 626

International Handbook of Internet Research

Internet research spans many disciplines. From the computer or information s- ences, through engineering, and to social sciences, humanities and the arts, almost all of our disciplines have made contributions to internet research, whether in the effort to understand the effect of the internet on their area of study, or to investigate the social and political changes related to the internet, or to design and develop so- ware and hardware for the network. The possibility and extent of contributions of internet research vary across disciplines, as do the purposes, methods, and outcomes. Even the epistemological underpinnings differ widely. The internet, then, does not have a discipline of study...