Ashok Goel

Last updated
Ashok Goel
Ashok1-2012.jpg
Born
New Delhi, India
Alma mater Ohio State University
Awards AAAI Fellow, Fellow of Cognitive Science Society
Scientific career
Fields Artificial Intelligence, Cognitive Science, Computer-Aided Design, Educational Technology
Institutions Ohio State University, Georgia Institute of Technology
Thesis Integrating Case-Based Reasoning and Model-Based Reasoning for Adaptive Design Problem Solving (1989)
Doctoral advisor Balakrishnan Chandrasekaran
Doctoral students Jim Davies, Eleni Stroulia
Website http://dilab.gatech.edu/ashok-k-goel/

Ashok K. Goel is a professor of computer science and human-centered computing in the School of Interactive Computing at Georgia Institute of Technology, and the chief scientist with Georgia Tech's Center for 21st Century Universities. [1] He conducts research into cognitive systems at the intersection of artificial intelligence and cognitive science with a focus on computational design and creativity. Goel is also the Principle Investigator and Executive Director of National Science Foundation's AI Institute for Adult Learning and Online Education [2] and an editor emeritus of AAAI's AI Magazine. [3]

Contents

Research and scholarship

Conceptual design of technical systems, in particular biologically inspired engineering, provides one context for Goel's problem-driven research into cognitive systems. He has developed a theory of Structure-Behavior-Function models for understanding conceptual designs [4] [5] and a theory of model-based analogical reasoning for understanding the processes of biologically inspired design. [6] [7] In addition to information-processing theories of conceptual design, [8] [9] he has built computational tools (such as the Design by Analogy to Nature Engine) for supporting its practice. [10] [11] His 2012 TEDx talk Does Our Future Require Us To Go Back to Nature? summarizes this research. [12] In 2014, he co-edited Biologically inspired design: Computational methods and tools [13] published by Springer-Verlag. During 2008–18, Ashok was a co-director of Georgia Tech's Center of Biologically Inspired Design, and during 2012-17 he served on the Board of Directors of The Biomimicry Institute including as the President of the Board during 2015–17.[ citation needed ]

Learning about complex systems and systems thinking provides another context for Goel's use-inspired cognitive systems research. He has used Structure-Behavior-Function modeling to develop a series of interactive environments for supporting learning about complex systems [14] [15] resulting in the recent web-based virtual experimentation research assistant (VERA). Smithsonian Institution's Encyclopedia of Life's webportal provides direct access to VERA to support learning about ecological systems and the scientific way of systems thinking. [16] Since 2015, Ashok has been a Faculty Fellow of the Brook Byers Institute for Sustainable Systems.

Teaching and scholarship

During 2012–2019, Ashok was the Director of Georgia Tech's Ph.D. Program in Human-Centered Computing. Since 2019, he has been the Chief Scientist with the Georgia Tech's Center for 21st Century Universities, where he leads research on AI in education and education in AI. In 2014, Goel developed an online course on Knowledge-Based AI as part of Georgia Tech's Online Master of Science in Computer Science program. [17] In 2016, he developed Jill Watson, a virtual teaching assistant for automatically answering students’ questions in discussion forums of online classes based on the IBM Watson technology. His 2016 TEDx talk A Teaching Assistant named Jill Watson describes this experiment. [18] In 2019, he co-edited Blended learning in practice: A guide for researchers and practitioners [19] published by the MIT Press. He received AAAI's Outstanding AI Educator Award in 2019 and the University System of Georgia Regent's Award for Scholarship of Teaching and Learning in 2020. Since 2021, Ashok has been the Executive Director for NSF's National AI Institute for Adult Learning and Online Education (AI-ALOE). He was selected as an AAAI Fellow in 2021 and a Cognitive Science Society Fellow in 2022. Ashok was awarded the AAAI Distinguished Service Award in 2024.

Goel's teaching and research have been covered in The Wall Street Journal , [20] The Washington Post , [21] Wired , [22] and EdTech [23] among other media. A review article in a special issue of The Chronicle of Higher Education called virtual assistants exemplified by Jill Watson as one of the most transformative educational technologies in the digital era. [24]

Related Research Articles

<span class="mw-page-title-main">Symbolic artificial intelligence</span> Methods in artificial intelligence research

In artificial intelligence, symbolic artificial intelligence is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames, and it developed applications such as knowledge-based systems, symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The Symbolic AI paradigm led to seminal ideas in search, symbolic programming languages, agents, multi-agent systems, the semantic web, and the strengths and limitations of formal knowledge and reasoning systems.

Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing relates to artificial intelligence and machine learning. Bio-inspired computing is a major subset of natural computation.

The Association for the Advancement of Artificial Intelligence (AAAI) is an international scientific society devoted to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence (AI), improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.

Soar is a cognitive architecture, originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.

Roger Carl Schank was an American artificial intelligence theorist, cognitive psychologist, learning scientist, educational reformer, and entrepreneur. Beginning in the late 1960s, he pioneered conceptual dependency theory and case-based reasoning, both of which challenged cognitivist views of memory and reasoning. He began his career teaching at Yale University and Stanford University. In 1989, Schank was granted $30 million in a ten-year commitment to his research and development by Andersen Consulting, through which he founded the Institute for the Learning Sciences (ILS) at Northwestern University in Chicago.

<span class="mw-page-title-main">Conference on Neural Information Processing Systems</span> Machine-learning and computational-neuroscience conference

The Conference and Workshop on Neural Information Processing Systems is a machine learning and computational neuroscience conference held every December. The conference is currently a double-track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts.

A cognitive architecture refers to both a theory about the structure of the human mind and to a computational instantiation of such a theory used in the fields of artificial intelligence (AI) and computational cognitive science. These formalized models can be used to further refine comprehensive theories of cognition and serve as the frameworks for useful artificial intelligence programs. Successful cognitive architectures include ACT-R and SOAR. The research on cognitive architectures as software instantiation of cognitive theories was initiated by Allen Newell in 1990.

Janet Lynne Kolodner is an American cognitive scientist and learning scientist. She is a Professor of the Practice at the Lynch School of Education at Boston College and co-lead of the MA Program in Learning Engineering. She is also Regents' Professor Emerita in the School of Interactive Computing, College of Computing at the Georgia Institute of Technology. She was Founding Editor in Chief of The Journal of the Learning Sciences and served in that role for 19 years. She was Founding Executive Officer of the International Society of the Learning Sciences (ISLS). From August, 2010 through July, 2014, she was a program officer at the National Science Foundation and headed up the Cyberlearning and Future Learning Technologies program. Since finishing at NSF, she is working toward a set of projects that will integrate learning technologies coherently to support disciplinary and everyday learning, support project-based pedagogy that works, and connect to the best in curriculum for active learning. As of July, 2020, she

The School of Interactive Computing is an academic unit located within the College of Computing at the Georgia Institute of Technology. It conducts both research and teaching activities related to interactive computing at the undergraduate and graduate levels. These activities focus on computing's interaction with users and the environment, as well as how computers impact the quality of people's lives.

<span class="mw-page-title-main">Michael L. Littman</span> American computer scientist

Michael Lederman Littman is a computer scientist, researcher, educator, and author. His research interests focus on reinforcement learning. He is currently a University Professor of Computer Science at Brown University, where he has taught since 2012.

<span class="mw-page-title-main">IBM Watson</span> Artificial intelligence computer system made by IBM

IBM Watson is a computer system capable of answering questions posed in natural language. It was developed as a part of IBM's DeepQA project by a research team, led by principal investigator David Ferrucci. Watson was named after IBM's founder and first CEO, industrialist Thomas J. Watson.

The LIDA cognitive architecture is an integrated artificial cognitive system that attempts to model a broad spectrum of cognition in biological systems, from low-level perception/action to high-level reasoning. Developed primarily by Stan Franklin and colleagues at the University of Memphis, the LIDA architecture is empirically grounded in cognitive science and cognitive neuroscience. In addition to providing hypotheses to guide further research, the architecture can support control structures for software agents and robots. Providing plausible explanations for many cognitive processes, the LIDA conceptual model is also intended as a tool with which to think about how minds work.

Jim Davies is an American/Canadian cognitive scientist, playwright, artist, and author. He received his bachelor's degree in philosophy from the State University of New York at Oswego, his masters in psychology and his Ph.D. in computer science from the Georgia Institute of Technology. He is a full professor of Cognitive Science at the Institute of Cognitive Science and the School of Computer Science at Carleton University in Ottawa, Ontario where he is the director of the Science of Imagination Laboratory. His research focuses on visual reasoning, analogy, and imagination.

<span class="mw-page-title-main">Eric Horvitz</span> American computer scientist, and Technical Fellow at Microsoft

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Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision, human–computer interaction, dialog and narrative generation, among other technologies.

Radhika Nagpal is an Indian-American computer scientist and researcher in the fields of self-organising computer systems, biologically-inspired robotics, and biological multi-agent systems. She is the Augustine Professor in Engineering in the Departments of Mechanical and Aerospace Engineering and Computer Science at Princeton University. Formerly, she was the Fred Kavli Professor of Computer Science at Harvard University and the Harvard School of Engineering and Applied Sciences. In 2017, Nagpal co-founded a robotics company under the name of Root Robotics. This educational company works to create many different opportunities for those unable to code to learn how.

<span class="mw-page-title-main">Francesca Rossi</span> Italian computer scientist

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Georgia Tech Online Master of Science in Computer Science (OMSCS) is a Master of Science degree offered by the College of Computing at Georgia Tech. The program was launched in 2014 in partnership with Udacity and AT&T and delivered through the massive open online course (MOOC) format. Georgia Tech has received attention for offering an online master's degree program for under $7,000 that gives students from all over the world the opportunity to enroll in a top 10-ranked computer science program. The program has been recognized by the University Professional and Continuing Education Association, Fast Company, and the Reimagine Education Awards for excellence and innovation.

<span class="mw-page-title-main">Luca Longo</span> Italian computer scientist

Luca Longo is an Italian computer scientist specializing in Explainable artificial intelligence, Deep Learning and Argumentation theory with research in the areas of Human performance modeling. As the founder and general chair of the World Conference on Explainable artificial intelligence, he performs fundamental research in the area of computational models of Cognitive Load and is the editor of books and journals with Springer Publishing and Frontiers Media. He is a public speaker disseminating technical knowledge to the wider public and contributing to the non-profit organization TED (conference) "ideas worth spreading".

References

  1. "Home | Center for 21st Century Universities". c21u.gatech.edu. Archived from the original on 2022-04-01. Retrieved 2022-04-06.
  2. admin. "Home". National AI Institute for Adult Learning and Online Education. Archived from the original on 2022-01-26. Retrieved 2022-04-06.
  3. "Editorial Team | AI Magazine". ojs.aaai.org. Archived from the original on 2022-03-02. Retrieved 2022-04-06.
  4. Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language. | Ashok Goel, Spencer Rugaber & Swaroop Vattam. | AIEDAM 23(1):23-35. | 2009.
  5. A 30-year case study and 15 principles: implications of an artificial intelligence methodology for functional modeling. | Ashok Goel. | AIEDAM 27(3):203-215 | 2013.
  6. Design, analogy, and creativity | Ashok Goel. | IEEE Expert 12(3):62-70. | 1997.
  7. "Use of design patterns in analogy-based design. | Ashok Goel & Sambasiva Bhatta.", Advanced Engineering Informatics , vol. 18, no. 2, pp. 85–94, 2004
  8. Biologically Inspired Design: Process and Products. | Michael Helms, Swaroop Vattam & Ashok Goel. | Design Studies 30(5):606-622. | 2009.
  9. A content account of creative analogies in biologically inspired design | Swaroop Vattam, Michael Helms & Ashok Goel. | AIEDAM 24(4). | 2010.
  10. Cognitive, collaborative, conceptual and creative—four characteristics of the next generation of knowledge-based CAD systems: a study in biologically inspired design. | Ashok Goel Swaroop Vattm, Bryan Wiltgen & Michael Helms. | Computer-Aided Design 44(10):879-900. | 2012.
  11. The four-box method: problem formulation and analogy evaluation in biologically inspired design. | Michael Helms & Ashok Goel. | Journal of Mechanical Design 136(11). | 2014.
  12. TEDx Talks (2012-11-12), Does Our Future Require Us To Go Back to Nature? | Ashok Goel | TEDxPeachtree
  13. Biologically inspired design: Computational methods and tools. | Ashok Goel, Daniel McAdams & Robert Stone (editors).| Springer-Verlag.
  14. Towards design learning environments—I: Exploring how devices work. | AK Goel, AG de Silva Garza, N Grué, JW Murdock, MM Recker, T. Govindraj. | Proceedings of the International conference on intelligent tutoring systems, LNCS 1086, pp. 493-501. | 1996.
  15. Understanding complex natural systems by articulating structure-behavior-function models. | SS Vattam, AK Goel, S Rugaber, CE Hmelo-Silver, R Jordan, S Gray. | Journal of Educational Technology & Society 14(1):66-81. | 2011.
  16. The Scientific Way of Thinking Using VERA., 2019-09-16, archived from the original on 2022-04-06, retrieved 2021-02-16
  17. "CS 7637: Knowledge-Based Artificial Intelligence: Cognitive Systems | OMSCS | Georgia Institute of Technology | Atlanta, GA". www.omscs.gatech.edu. Archived from the original on 2017-08-01. Retrieved 2017-08-01.
  18. TEDx Talks (2016-11-01), A teaching assistant named Jill Watson | Ashok Goel | TEDxSanFrancisco
  19. Blended learning in practice: A guide for researchers and practitioners. | Amanda Madden, Lauren Margulieux, Robert Kadel & Ashok Goel (editors). | The MIT Press.
  20. Korn, Melissa (2016-05-06), "Imagine Discovering That Your Teaching Assistant Really Is a Robot | Melissa Korn", Wall Street Journal, archived from the original on 2017-12-28, retrieved 2017-12-29
  21. What happened when a professor built a chatbot to be his teaching assistant | Matt MacFarland, 2016-05-11, archived from the original on 2021-02-02, retrieved 2021-02-15
  22. Leopold, Todd (2016-12-13), "A Secret Ops AI Aims to Save Education | Todd Lepold", Wired, archived from the original on 2021-01-17, retrieved 2021-02-15
  23. Improve Online Learning and More with Artificial Intelligence | Tommy Peterson, 2020-05-05, archived from the original on 2021-03-01, retrieved 2021-02-15
  24. The Digital Era. | Ben Myers & Erica Lusk, 2016-12-15, archived from the original on 2021-07-04, retrieved 2021-02-15