Comparative Cognition
Total Page:16
File Type:pdf, Size:1020Kb
CogSci 2021 VIRTUAL Invited speakers Julia Fischer Onur Güntürkün COMPARATIVE Erich Jarvis COGNITION Friederike Range Cognitive Animals Invited panels Cognition of time Comparative and neural approaches to social cognition Towards comparative aesthetics Organizers Tecumseh Fitch Claus Lamm cognitivesciencesociety.org/ Helmut Leder cogsci-2021 Kristin Teßmar-Raible #CogSci2021 Table of Contents Poster Session 1 ............................................................................................................................................ 2 Tuesday, July 27, 2021: 17:20 – 19:00 ...................................................................................................... 2 A - AI, Computer science and Computer models .................................................................................. 2 B - Animal cognition and communication ............................................................................................. 5 C - Cognitive science ............................................................................................................................. 6 D - Education, development and perspectives in cognitive science ................................................... 11 E - Linguistics ....................................................................................................................................... 14 F - Neuroscience .................................................................................................................................. 17 G - Philosophy ..................................................................................................................................... 18 H - Psychological science ..................................................................................................................... 18 Poster Session 2 .......................................................................................................................................... 20 Wednesday, July 28, 2021: 17:20 – 19:00 .............................................................................................. 20 A - AI, Computer science and Computer models ................................................................................ 20 B - Animal cognition and communication ........................................................................................... 24 C - Cognitive science ........................................................................................................................... 25 D - Education, development and perspectives in cognitive science ................................................... 30 E - Linguistics ....................................................................................................................................... 32 F - Neuroscience .................................................................................................................................. 36 G - Philosophy ..................................................................................................................................... 37 H - Psychological science ..................................................................................................................... 37 Poster Session 3 .......................................................................................................................................... 40 Thursday, July 29, 2021: 17:20 – 19:00 ................................................................................................... 40 A - AI, Computer science and Computer models ................................................................................ 40 B - Animal cognition and communication ........................................................................................... 43 C - Cognitive science ........................................................................................................................... 44 D - Education, development and perspectives in cognitive science ................................................... 49 E - Linguistics ....................................................................................................................................... 52 F - Neuroscience .................................................................................................................................. 56 G - Philosophy ..................................................................................................................................... 57 H - Psychological science ..................................................................................................................... 57 Poster Session 1 Tuesday, July 27, 2021: 17:20 – 19:00 A - AI, Computer science and Computer models 1-A-1 Structural inductive biases in emergent communication Agnieszka Slowik: University of Cambridge; Abhinav Gupta: Mila; William Hamilton: McGill University; Mateja Jamnik: University of Cambridge; Sean Holden: University of Cambridge; Chris Pal: Polytechnique Montréal 1-A-2 Intrinsic rewards in human curiosity-driven exploration: An empirical study Alexandr Ten: Inria; Jacqueline Gottlieb: Columbia University; Pierre-Yves Oudeyer: Inria 1-A-3 A layered bridge from sound to meaning: Investigating cross-linguistic phonosemantic correspondences Andrea Gregor de Varda: University of Trento; Carlo Strapparava: FBK-Irst 1-A-4 A theory of algorithms and implementations and their relevance to cognitive science Anja Meunier: University of Vienna; Alex Markham: University of Vienna; Moritz Grosse-Wentrup: University of Vienna 1-A-5 An observer-oriented theory of creativity and aesthetic measure Chris Miller: North Carolina State University; Arnav Jhala: North Carolina State University 1-A-6 Multiversionality: Considering multiple possibilities in the processing of narrative Benjamin Hiskes: Indiana University-Bloomington; Fritz Breithaupt: Indiana University; Samuel Evola: Indiana University; Milo M Hicks: Indiana University; Cameron Kincaid: Indiana University 1-A-7 Falling through the gaps: Neural architectures as models of morphological rule learning Deniz Beser: University of Southern California 1-A-8 Meaning in brains and machines: Internal activation update in large-scale language model partially reflects the N400 brain potential Alma Lindborg: Potsdam University; Milena Rabovsky: Potsdam University 1-A-9 Inferring actions, intentions, and causal relations in a deep neural network Keno Juechems: University of Oxford; Andrew Saxe: University of Oxford 1-A-10 Predicting the N400 ERP component using the Sentence Gestalt model trained on a large scale corpus Alessandro Lopopolo Lopopolo: University of Potsdam; Milena Rabovsky: University of Potsdam 1-A-11 Biologically plausible spiking neural networks for perceptual filling-in Hadar Cohen Duwek: Open University of Israel; Elishai Ezra Tsur: The Open University 1-A-12 Application of machine learning to signal entrainment identifies predictive processing in sign language Sean Borneman: Independent Scholar; Julia Krebs: University of Salzburg; Ronnie B Wilbur Wilbur: Purdue University; Evie Malaia: University of Alabama 1-A-13 Perceptual sensitivity to an artificial co-actor in competitive 2D Pong Gaurav Patil: Macquarie University; Lillian Marie Rigoli: Macquarie University; Christopher Wahlin: Macquarie University; Patrick Nalepka: Macquarie University; Rachel W. Kallen: Macquarie University; Michael J Richardson: Macquarie University 1-A-14 Knowledge-gap awareness as mediating cognitive mechanism in tool-mediated learning in computer science: a multi-method experimental study Tobias Moritz Halbherr: ETH Zurich 1-A-15 Predicting learning and retention of a complex task using a cognitive architecture Farnaz Tehranchi: Pennsylvanian State University; Jacob David Oury: The Pennsylvania State University; Frank E. Ritter: Pennsylvania State University 1-A-16 Comparing Markov and quantum random walk models of categorization decisions Gunnar Epping: Indiana University Bloomington; Jerome Busemeyer: Indiana University 1-A-17 Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images Hakan Yilmaz: Yale University; Gargi Singh: Indian Institute of Technology, Kanpur; Bernhard Egger: Massachusetts Institute of Technology; Josh Tenenbaum: Massachusetts Institute of Technology; Ilker Yildirim: Yale University 1-A-18 Learning part-based abstractions for visual object concepts Haoliang Wang: University of California, San Diego; Nadia Polikarpova: University of California, San Diego; Judith E. Fan: University of California, San Diego 1-A-19 Investigating novice and expert programmers' problem solving via protocol analysis Maria Vorobeva: Carleton University; Kasia Muldner: Carleton University 1-A-20 Computational modelling of the cross-cultural differences in face perception Mario Fific: Grand Valley State University; Cheng-Ta Yang: National Cheng Kung University 1-A-21 Transfer of learned opponent models in repeated games Ismail Guennouni: University College London; Maarten Speekenbrink: University College London 1-A-22 Know your network: Sensitivity to structure in social learning Jan-Philipp Fränken: University of Edinburgh; Simon Valentin: University of Edinburgh; Chris Lucas: University of Edinburgh; Neil R Bramley: University of Edinburgh 1-A-23 Modeling capacity-limit decision making using a variational autoencoder Tyler J Malloy: Rensselaer Polytechnic Institute; Tim Klinger: IBM; Miao Liu: