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Hodgson, Jonathan
St. Joseph's University
Philadelphia, Pennsylvania
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Dr. Jonathan Hodgson is a Professor of Mathematics and Computer Science at Saint Joseph's University in Philadelphia, PA, where he teaches a wide variety of courses at both the undergraduate and master's level. Previously, he was on the faculty at Adelphi University and, prior to that, at the University of Pennsylvania. Dr. Hodgson started his career as a mathematician working in the field of topology. He holds a Ph.D. in Mathematics from the University of Cambridge. Dr. Hodgson became involved with computers, originally with the idea of drawing pictures of knots on a Tektronix machine using Plot-90. In the 1980s, he developed an interest in artificial intelligence, particularly problem solving and logic programming, both of which are his areas of major research interest.

Dr. Hodgson has published papers on differential topology, problem solving, and the use of Hypertext Markup Language (HTML) tags for flagging semantic content in Web pages. He is currently the convenor of WG17, the ISO/IEC JTC1 working group on Prolog standardization.

Date Reviewed  
- 10 of 202 reviews

  Sustainable design: HCI, usability and environmental concerns (2nd ed.)
Issa T., Isaias P., Springer International Publishing, Cham, Switzerland, 2022. 231 pp.  Type: Book (978-1-447175-12-4)

In the context of this book, sustainability refers to software that supports the creation of a healthy environment and energy efficiency. Very early on in the book, the authors make the point that sustainability should--like security--be...

Sep 14 2022  
   Cognitive Internet of things: Frameworks, Tools and Applications
Lu H., Springer Publishing Company, Incorporated, 2019. 522 pp.  Type: Book (978-3-030049-45-4)

The introduction to this book cites its aim:...

Jan 7 2022  
  An innovative approach for ad hoc network establishment in disaster environments by the deployment of wireless mobile agents
Su X., Zhang M., Bai Q. ACM Transactions on Autonomous and Adaptive Systems 13(4): 1-22, 2019.  Type: Article

This paper considers the challenges to mobile wireless robots (WRs) in disaster environments: the unknown environment; the complexity of the environment, namely obstacles in the environment; and the limited capability and number of rob...

Jul 6 2021  
  Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization
Lazar A., Jin L., Spurlock C., Wu K., Sim A., Todd A. Journal of Data and Information Quality 11(2): 1-22, 2019.  Type: Article

The authors discuss how one can compensate for missing values when clustering joint categorical sequences. For example, one might have a set of sequences with both nominal values, such as family size, and binary values, for example, ma...

Apr 21 2021  
  Towards the use of machine learning algorithms to enhance the effectiveness of search strings in secondary studies
Cairo L., Monteiro M., de F. Carneiro G., Brito e Abreu F.  SBES 2019 (Proceedings of the XXXIII Brazilian Symposium on Software Engineering, Salvador, Brazil, Sep 23-27, 2019) 22-26, 2019.  Type: Proceedings

The authors propose the use of text mining to enhance the creation of search strings for constructing so-called secondary studies--that is to say, survey articles. The primary measures of success in this endeavor should be rec...

Mar 26 2021  
  Machine learning for the developing world
De-Arteaga M., Herlands W., Neill D., Dubrawski A. ACM Transactions on Management Information Systems 9(2): 1-14, 2018.  Type: Article

The authors describe the ways in which machine learning for the developing world (referred to as ML4D) requires a different viewpoint from the kind of machine learning that concerns itself with the developed world. They assert that the...

May 11 2020  
   Fairness-aware machine learning: practical challenges and lessons learned
Bird S., Hutchinson B., Kenthapadi K., K c man E., Mitchell M.  WWW 2019 (Companion Proceedings of The 2019 World Wide Web Conference, San Francisco, CA, May 13-17, 2019) 1297-1298, 2019.  Type: Proceedings

This is a timely paper in light of recent stories about bias in artificial intelligence (AI) systems, such as the COMPAS system used in Florida to predict recidivism. The tutorial’s aim is to describe what the authors call a ...

May 7 2020  
   Intelligent environments 2018: workshop proceedings of the 14th International Conference on Intelligent Environments
Amft O., Novais P., Tobe Y., Chatzigiannakis I., IOS PRESS, Amsterdam, the Netherlands, 2018. 604 pp.  Type: Book (978-1-614998-73-0)

This book presents workshop proceedings from the 14th International Conference on Intelligent Environments, held in Rome in June 2018. It consists of nine tutorials and some 60 papers. This review cannot go into a detailed report of ea...

Apr 21 2020  
  The seven tools of causal inference, with reflections on machine learning
Pearl J. Communications of the ACM 62(3): 54-60, 2019.  Type: Article, Reviews: (3 of 3)

There are three obstacles to meeting the increasing expectations for artificial intelligence (AI), according to this article: the lack of adaptability or robustness; the lack of explainability; and “the lack of understanding ...

Mar 23 2020  
  Automatic language identification in texts: a survey
Jauhiainen T., Lui M., Zampieri M., Baldwin T., Lindén K. Journal of Artificial Intelligence Research 65(1): 675-782, 2019.  Type: Article

One might think that automatic language identification (LI) is straightforward--surely, distinguishing English from Polish is easy. This review shows that the problem is much harder than one might expect. For example, distingu...

Mar 19 2020  
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