From springschool at rug.nl Wed Feb 7 10:41:27 2024 From: springschool at rug.nl (Spring School, FA) Date: Wed, 7 Feb 2024 16:41:27 +0100 Subject: [ACT-R-users] Seventh Groningen Spring School on Cognitive Modeling Message-ID: ? ACT-R, Nengo, PRIMs ? Date: 8-12 April 2024 Location: Groningen, the Netherlands Fee: ? 305 (late fee after March 7 will be ? 355) More information and registration: http://www.ai.rug.nl/springschool/ ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Dear colleagues and students, This is a reminder that the early registration deadline for the seventh Spring School on Cognitive Modeling in Groningen (8-12 April 2024) ends on March 7th! As announced earlier, the Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials). Past years have shown that students get most out of the spring school if they really immerse themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only. To give students a broader picture, there will be multiple guest lectures throughout the week. These lectures will give an introduction to other modeling paradigms, as well as practical research examples to show you what can be done with the modeling paradigms presented! Everyone is encouraged to attend those lectures. To round off the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner. Registration closes on March 31. The early registration deadline ends March 7. Please feel free to forward the information to anyone who might be interested in the Spring School, and let us know if you have any questions! We are looking forward to welcoming you (again) in Groningen, The Spring School team springschool at rug.nl ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ACT-R Teachers: Jelmer Borst & Stephen Jones (University of Groningen) Website: http://act-r.psy.cmu.edu ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From db30 at andrew.cmu.edu Mon Feb 19 16:12:16 2024 From: db30 at andrew.cmu.edu (Dan Bothell) Date: Mon, 19 Feb 2024 16:12:16 -0500 Subject: [ACT-R-users] Another update to the ACT-R standalone for machines with Apple silicon proccessors Message-ID: The recent update that fixed the problem with the standalone not running under macOS Sonoma seems to have introduced a potential problem with the ACT-R remote connections on any machine with an Apple silicon processor. The standalone for macOS using Apple silicon processors has been rebuilt with a custom version of SBCL that does run under Sonoma and doesn't cause that potential connection issue. This is a temporary fix so that the standalone application is reliable while I fix the issue in the ACT-R code that has problems with the newer versions of SBCL -- the real issue isn't on the SBCL side. Please let me know if you have any problems with the updated version. Dan -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Mon Feb 26 01:59:28 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Mon, 26 Feb 2024 06:59:28 +0000 Subject: [ACT-R-users] Available Ph.D. Position in AI / Cognitive Robotics / Human-Robot Interaction Message-ID: Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on **15th March 2024* *(The difference in tuition fees between national and international students will be waived for international candidates)*. This exciting project aims to create a robot learning framework that integrates the wide linguistic capabilities of *Large Language Models *(LLMs) with robot perceptual information (e.g., visual and/or haptic perception) for language learning covering *word grounding* and bottom-up *sentence formation*, which can make robots develop language and understand human communication across contexts (*more details and research questions are available in the link below*). More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-learning-with-large-language-models-through-human-robot-interaction PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction at University of Plymouth Find a PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction on jobs.ac.uk, the top job board in higher education. Click to view more! www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics / AI Consultant Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: