From cl at cmu.edu Wed Nov 15 11:07:08 2023 From: cl at cmu.edu (Christian Lebiere) Date: Wed, 15 Nov 2023 11:07:08 -0500 Subject: [ACT-R-users] Symposium on Human-Like Learning Message-ID: [Posted for Christopher J. MacLellan, Georgia Institute of Technology, cmaclell at gatech.edu ] *Title:* Symposium on Human-Like Learning *Description:* Recent machine-learning research has made incredible progress across a wide range of tasks. While many systems can achieve human-like performance, one area that is currently under explored is how to realize *human-like learning* capabilities within these systems. For example, machine learning typically employs batch training and requires more data and computation than people to achieve similar capabilities. The resulting models are effective, but difficult to update in the face of new data without costly retraining. In contrast, humans excel at rapidly assimilating new information on the fly from a limited number of examples. More research is needed to investigate human-like capabilities, such as efficient, incremental learning, and to explore the design of artificial systems that can also exhibit them. *General Themes:* - Identification of key characteristics of human-like learning to target in AI/ML research, and what makes them challenging for current approaches; - Ongoing and proposed research into how to create artificial systems that exhibit human-like learning; - Approaches for evaluating such systems; and - Exploration of the broader context and impacts of this research, such as how human-like learning systems might complement/benefit current machine learning systems and humanity. *Relevant Topics (not exhaustive):* - Cognitive architectures - Interactive task learning - Extended/continual learning - Probabilistic programming - Concept formation - Analogical and case-based learning - Logic-based learning - Simulated students - Human-like neural network learning *Format:* The symposium will consist of a small number of invited speakers, followed by approximately 20 technical presentations and a poster session. Each talk will be allotted 30-minutes (20 for talk and 10 for discussion). There will also be coffee breaks and time for broader reflections and discussions. *Submission: *Authors will submit abstracts, which the organizing committee will use to decide on session topics and presentations. Speaker abstracts will also be shared with attendees. Authors of submissions that are not presented as talks will be invited to participate in a poster session during the first day. In choosing presenters, the committee will give preference to submissions that are more closely aligned to the overarching theme, while also trying to give coverage to different aspects of the theme. Please format abstracts using the AAAI Author Kit ( https://aaai.org/authorkit24-2/) and submit via easychair ( https://easychair.org/my/conference?conf=sss24). *Organizing Committee:* - Christopher J. MacLellan, Georgia Institute of Technology, cmaclell at gatech.edu - Ute Schmid, University of Bamberg, ute.schmid at uni-bamberg.de - Douglas Fisher, Vanderbilt University, douglas.h.fisher at vanderbilt.edu - Randolph M. Jones, Soar Technology, LLC, rjones at soartech.com *For more info:* https://humanlikelearning.com/aaai24-ss/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.furlong at uwaterloo.ca Fri Nov 17 14:52:12 2023 From: michael.furlong at uwaterloo.ca (Michael Furlong) Date: Fri, 17 Nov 2023 19:52:12 +0000 Subject: [ACT-R-users] [Meetings] 2024 Nengo Summer School Call For Applications Message-ID: Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more? Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong at uwaterloo.ca). The school is also partly supported by ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From db30 at andrew.cmu.edu Wed Nov 29 14:54:55 2023 From: db30 at andrew.cmu.edu (Dan Bothell) Date: Wed, 29 Nov 2023 14:54:55 -0500 Subject: [ACT-R-users] ACT-R standalone problem in macOS Sonoma Message-ID: I had a report that the current standalone application doesn't run under Sonoma on machines with an Apple silicon processor. There is apparently an issue with older versions of SBCL under Sonoma, but the newer versions of SBCL (2.3.8+) have a fix for that. I've built a new version of the standalone using the updated SBCL, and that updated standalone can be downloaded from here: http://act-r.psy.cmu.edu/actr7.x/special_mac_standalone.zip I have not tested that yet on a machine with Sonoma, but I will update a machine soon to test it and follow up with the results. In the meantime, if anyone tries it please let me know how it goes. -------------- next part -------------- An HTML attachment was scrubbed... URL: