Latest from AI Magazine
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Fall 2024
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Recent Posts
Summary Report for the Third International Competition on Computational Models of Argumentation
By: Stefano Bistarelli, Lars Kotthof, Francesco Santini and Carlo Taticchi
The Third International Competition on Computational Models of Argumentation (ICCMA’19) focused on reasoning tasks in abstract argumentation frameworks. Submitted solvers were tested on a selected collection of benchmark instances, including artificially generated argumentation frameworks and some frameworks formalizing real-world problems. This competition introduced two main novelties over the two previous editions: the first one is the use of the Docker platform for packaging the participating solvers into virtual “light” containers; the second novelty consists of a new track for dynamic frameworks.
Looking Back, Looking Ahead: Symbolic versus Connectionist AI
By Ashok Goel; School of Interactive Computing, Georgia Institute of Technology
Like much of the AI community, I have watched the ongoing discussion between symbolic AI and connectionist AI with fascination. While symbolic AI posits the use of knowledge in reasoning and learning as critical to producing intelligent behavior, connectionist AI postulates that learning of associations from data (with little or no prior knowledge) is crucial for understanding behavior. The recent debate between the two AI paradigms has been prompted by advances in connectionist AI since the turn of the century that have significant applications.
The Role of Open-Source Software in Artificial Intelligence
By Jim Spohrer
With this publication, we launch a new column for AI Magazine on the role of open-source software in artificial intelligence. As the column editor, I would like to extend my welcome and invite AI Magazine readers to send short articles for future columns, which may appear in the traditional print version of AI Magazine, or on the AI Magazine interactive site currently under development. This introductory column serves to highlight my interests in open-source software and to propose a few topics for future columns.
The Case Against Registered Reports
By Odd Erik Gundersen, Norwegian University of Science and Technology
Registered reports have been proposed as a way to move from eye-catching and surprising results and toward methodologically sound practices and interesting research questions. However, none of the top-twenty artificial intelligence journals support registered reports, and no traces of registered reports can be found in the field of artificial intelligence. Is this because they do not provide value for the type of research that is conducted in the field of artificial intelligence?
Betting on Bets
Chris Welty, Google Research, USA
Praveen Paritosh, Google Research
Kurt Bollacker, LongNow Foundation
The AI bookies have spent a lot of time and energy collecting scientific bets from AI researchers since the birth of this column three years ago. While we have met with universal approval of the idea of scientific betting we have likewise met with nearly universal silence in our acquisition of bets. We have collected only a very few in this column over the past two years. In our first column we published the “will voice interfaces become the standard” bet, as well as a set of 10 predictions from Eric Horvitz that we proposed as bets awaiting challengers. No challengers have emerged.
Ask-Me-Anything
AI experts answer your questions! See all of our AMAs. Your questions will be submitted to these guests and a video will be recorded with their answers and posted on the Interactive AI Magazine and in the weekly AI Alert.
Ask your questions to Dr. Myers here!
For our fifth AMA, we have Karen Myers, Ph.D. Dr. Myers is the Lab Director for SRI International’s Artificial Intelligence Center.
Dr. Myers’ research focuses on intelligent systems that facilitate man-machine collaboration. Her expertise includes autonomy, multi-agent systems, automated planning and scheduling, and intelligent assistants. She has led the development of several AI technologies that have been successfully transitioned into operational use in areas that span collaboration tools, task management, and end-user automation.
Dr. Myers has served on the Executive Council for the Association for the Advancement of Artificial Intelligence (AAAI) and the International Conference on Automated Planning and Scheduling (ICAPS). She was on the editorial boards for Artificial Intelligence and the Journal for AI Research and the advisory board for ACM Transactions on Intelligent Systems and Technology. She is the conference chair for the Innovative Applications of AI conference for 2019. She was elected SRI Fellow in 2016.
Myers has a Ph.D. in computer science from Stanford University, a B.Sc. in mathematics and computer science from the University of Toronto, and a degree in piano performance from the Royal Conservatory of Music.