By Mark Maybury, Chief Technology Officer, Stanley Black & Decker,
23-25 March 2020, AAAI hosted a Virtual Spring Symposium on AI and Manufacturing in which government, academia and commercial participants worked collaboratively to articulate how intelligent manufacturing solutions offer opportunities to improve efficiency, effectiveness and social responsibility.
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.
By Pascal Bercher, Daniel Holler, Gregor Behnke, Susanne Biundo, Vikas Shivashankar, Ron Alford
Hierarchical planning has attracted renewed interest in the last couple of years. As a consequence, the time was right to establish a workshop devoted entirely to hierarchical planning – an insight shared by many supporters. In this paper we report on the ﬁrst ICAPS workshop on Hierarchical Planning held in Delft, The Netherlands, in 2018 as well as on the second workshop held in Berkeley, CA, USA, in 2019.
by Justin W. Hart, Richard G. Freedman, Nick DePalma, Luca Iocchi, Matteo Leonetti, Emmanuel Senft, Elin A. Topp, Ross Mead
The AAAI symposium on “Artificial Intelligence for Human-Robot Interaction (AI-HRI): Service Robots in Human Environments” was held at the Westin Arlington Gateway, Arlington, Virginia from November 7- 9, 2019. This is the sixth AI-HRI Fall Symposium, bringing together researchers whose work spans areas contributing to the development of human-interactive autonomous robots. In the past few years, technologies related to or deployed on service robots has become a popular research topic in this area. This year’s theme invited researchers to look at problems and frame discussion through this lens.
by Adam Amos-Binks
Anticipatory thinking (AT) — the deliberate and divergent consideration for relevant possible futures– is a key cognitive process in a variety of key societal contexts. The Cognitive Systems for Anticipatory Thinking brought together a multi-disciplinary group who’s methods can help augment human capacity for AT. Several key contexts emerged including autonomous vehicles, geo-political issues, and intelligence analysis. Key next steps include defining benchmark AT problems and competencies as well as how to evaluate them.
by Muhammad Aurangzeb Ahmad, Hemant Purohit, Oshani Seneviratne
This symposium was centered around the broad vision of how AI could be used for social good through supporting solutions toward the United Nations’ sustainable development goals that touch every aspect of human, social, and economic development. The symposium identified the critical need for responsible AI solutions for these goals, which demand holistic think- ing on optimizing the trade-off between automation benefits and their potential side-effects.