Computational Cognition

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Computational Cognition

Computational Cognition

@CompCognition

Graduate school at the interface of Machine Learning, Computational Neuroscience, and #AI. Institute of Cognitive Science @UniOsnabrueck. Funded by #DFG

Osnabrück Katılım Şubat 2018
405 Takip Edilen909 Takipçiler
Computational Cognition
Computational Cognition@CompCognition·
See you all again hopefully soon! - Jasmin, Ann, Kristina and Gabriela
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Computational Cognition
Computational Cognition@CompCognition·
Special thanks go to our keynote speakers: Valerio Mante, Asya Achimova, Carlos Zednik, Marieke Woensdregt, Tom Froese and Dora Angelaki. Thank you for coming and sparking so many exciting discussions - your talks were an inspiration.
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Computational Cognition
Computational Cognition@CompCognition·
#ComCo2023 was a blast! Two days packed with exciting research: six keynote talks, eight contributed talks, two poster sessions and countless awesome interactions after the sessions, during the lunch/coffee breaks, at the bar and during our networking and warm up sessions!
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Computational Cognition
Computational Cognition@CompCognition·
Nice methodological work testing a velocity-based algorithm which showed accurate classification of eye movements into gazes and saccades, and that ERSPs are better suitable to study behavior in free-viewing experiments as they are less time-sensitive.
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Computational Cognition
Computational Cognition@CompCognition·
Practically there needs to be a switch of focus and a development of the cognitive science toolbox for identifying those observable changes that are inexplicable in terms of observables.
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Computational Cognition
Computational Cognition@CompCognition·
In essence, it was propsed that cognitive science has been misguided by focusing on observables that are in principle fully explicable in terms of other observables.
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Computational Cognition
Computational Cognition@CompCognition·
Keynote talk by @DrTomFroese from @OISTedu on Making Mind Matter. Lots of food for thought! In this talk the irruption theory was presented, which is a novel approach to conceptualize the enactive account of motivated activity.
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Computational Cognition
Computational Cognition@CompCognition·
Models were compared and results showed no difference between the attention-correction model versus baseline. Additionally the talk included strategies for resolving ambiguity, and future work could focus on how humans manage resource demands. #pragmaticreasoning #languagemodels
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Computational Cognition
Computational Cognition@CompCognition·
Discussion included the two experiments conducted using demonstratives to extract a computational model which accounts for the visual search cost of the receiver with softmax rationality parameter.
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Computational Cognition
Computational Cognition@CompCognition·
Importantly both strategies are limited to promote trustworthiness in AI. This begs the question whether we could seek inspiration and adopt an explanatory strategy from the field of cognitive science.
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Computational Cognition
Computational Cognition@CompCognition·
Does explainable AI needs cognitive models? last keynote of the day by @CarlosZednik who discusses the advantages and limitations of “top-down” and “bottom-up” explainable strategies.
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Computational Cognition
Computational Cognition@CompCognition·
from neural spiking synchrony (@Vik_Zemliak) to applying computational cognitive models to real-world driving scenarios (Gustav Markkula) to now poster session with some nice ☕️&🍰 #ComCo23
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Computational Cognition
Computational Cognition@CompCognition·
and how to model ambiguities in conversations within the rational Speech Act framework (@AAchimova )…stay tuned for more presentations to come!
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Computational Cognition
Computational Cognition@CompCognition·
Exciting kick-off to #ComCo23 this morning: Using recurrent neural networks to translate neural dynamics of primates to decision behavior (Valerio Mante), discussions on pragmatic language use with GPT-3 (Polina Tsvilodub),
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