Chris Riesbeck

About

Chris Riesbeck is an Associate Professor of Computer Science at Northwestern University and serves as the Director of the Master of Science in Computer Science Program. He is also the Co-Director of the Center for Computer Science and Learning Sciences. His research interests include agile software development, technology-enabled educational reform, and experiential knowledge-based language understanding and reasoning. Riesbeck has contributed to the fields of engineering design practices, problem-based learning, and educational technology, with publications focusing on iterative practices in engineering design teams, overcoming barriers in volunteer advising for project-based learning, and tools to support coaching in educational settings. He holds a Ph.D. in Computer Science from Stanford University, an M.A. in Computer Science from Stanford University, and a B.A. in Mathematics from Alfred University.

Research topics

• Computer Science
• Knowledge management
• Engineering
• Algorithm
• Engineering management
• Software engineering
• Psychology
• Operations management

Selected publications

• Inside Case-Based Reasoning

  Psychology Press eBooks · 2013-05-13 · 1411 citations

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  Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of t…

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• Inside Computer Understanding

  Psychology Press eBooks · 2013-10-28 · 259 citations

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• Experience, Memory, and Reasoning

  Psychology Press eBooks · 2014-03-05 · 226 citations

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• Artificial Intelligence Programming

  Psychology Press eBooks · 2014-01-21 · 179 citations

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  Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.

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• Inside Case-Based Explanation

  Psychology Press eBooks · 2014-02-24 · 152 citations

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  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 th…

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Frequent coauthors

• Eugene Charniak

  15 shared

• Drew McDermott

  14 shared

• James Meehan

  Roslin Institute

  13 shared

• Roger C. Schank

  8 shared

• Baba Kofi Weusijana

  7 shared

• Lin Qiu

  7 shared

• Lin Qiu

  7 shared

• Daniel Rees Lewis

  6 shared

Similar researchers at Northwestern University

• Tobin J. Marksh-176
• Joseph Hupph-171
• James D Thomash-160