Understanding Understanding will be a one-day workshop addressing recent work relevant to the question of machine understanding, aiming for a wide range of topics and methods to be presented and discussed. To explore the natural questions inherent within this concept the workshop aims to draw on the fields of AI, AGI, philosophy, cognitive science and psychology to cover a diverse set of methods, assumptions, approaches, and systems design and thinking in the field of AI and AGI.
Understanding seems central to the human ability to assess our own capacity for affecting change in particular contexts on particular tasks. Most humans not trained in mountain climbing will turn down an offer to climb Mount Everest. They also have an easy time explaining why they turn it down, and can probably cook up a rough outline for the kind of training that might make them change their mind. We call it a lack of understanding when issues central to a topic or problem are blissfully ignored by someone trying to solve it, and consider it a hopeless case when repeated attempts at explaining to them that they don't have sufficient understanding of the subject to make any important decisions about it are ignored.
Historically, the use of the term understanding in AI has mostly focused on natural language, which relates to the parsing and manipulation of linguistic tokens, and scene or image understanding, which again relates to parsing or largely semantics-free processing, with any discussion of understanding proper a rare occurrence. To the field of AGI, for which the topic of generality is central, this state of affairs would seem far from ideal. To investigate the phenomenon of understanding, compare systems with respect to their potential for understanding, and get to the crux of what understanding really is, seems important enough to give it more scrutiny.
We are interested in submissions from the fields on AGI, AI, psychology, and philosophy, which focus upon the concept of understanding, especially in relation to the goal of building machines that have the capacity to understand.
Among the questions and topics the workshop will address (but is not limited to) are the following:
Parties interested specifically in this workshop will be able to register for this one-day workshop without having to register for the entire AGI-17 conference.
Please use this text version of our CfP for distribution on other media.
|10:15-10:20||Welcome by David Kremelberg|
|10:20-10:55||Target talks, comments and discussion: "Understanding as Conceptualizing" by Pei Wang|
|10:55-11:30||Target talks, comments and discussion: "Do Machines Understand? A Short Review of Understanding & Common Sense in Artificial Intelligence" by Kris Thorisson and David Kremelberg|
|11:30-11:50||Invited talk: Tom Everitt: "AI Safety and Understanding"|
|1:00-1:30||Special topics: Object+Situation; Moderators: Dave and Kris|
|1:30-2:00||Special topics: Mechanism+Question-Answering; Moderators: Kris and Pei|
|2:00-2:30||Special topics: Translation+Conversation; Moderators: Dave and Pei|
|2:30-3:00||Special topics: Goal-Achievement+Artwork; Moderators: Dave and Kris|
We welcome technical papers as well as overviews, demonstrations and position papers on a range of topics relating to the topic of understanding:
Papers should be between 2 and 12 pages and describe the authors' original work. Formatting can follow either the AGI-17 format or the IJCAI-17 format. Papers will be subjected to peer-review and can be accepted for oral presentation or poster presentation.
Proposals for Demonstrations should be accompanied with a 2-page extended abstract for inclusion in the workshop's proceedings. Examples include, but are not limited to: (interactively) demonstrating the performance of a system, (cognitive) architecture, or design methodology.
Oral presentations should be given by one of the authors during one of the Contributed Talks Sessions. Posters and demonstrations will be presented during the Poster & Demo Session at the end of the day. Accepted papers will be gathered into a volume of proceedings and published online.
Contributions should be submitted through EasyChair before the deadline on July 10th (23:59 Eastern time). Authors will be notified on July 25th of the acceptance or rejection of their submission, and are requested to submit a revised camera-ready version based on reviewers' comments by August 5th.
Icelandic Institute for Intelligent Machines
Reykjavik University & Icelandic Institute for Intelligent Machines
|Joscha Bach||Harvard University|
|Tarek Richard Besold||University of Bremen|
|Jordi Bieger||Reykjavik University|
|Antonio Chella||University of Palermo|
|Haris Dindo||Yewno & University of Palermo|
|Helgi P. Helgason||Activity Steeam|
|David Kremelberg||Icelandic Institute for Intelligent Machines|
|Xiang Li||Temple University|
|Tony Lofthouse||Evolving Solutions Ltd.|
|Javier Snaider||Google Inc.|
|Claes Strannegård||University of Gothenburg|
|Kristinn R. Thórisson||Reykjavik University & Icelandic Institute for Intelligent Machines|
|Pei Wang||Temple University|