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Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements [article]

Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White
2019 arXiv   pre-print
We present a novel semantic framework for modeling linguistic expressions of generalization---generic, habitual, and episodic statements---as combinations of simple, real-valued referential properties  ...  of generalization.  ...  The views and conclusions contained in this publication are those of the authors and should not be interpreted as representing official policies or endorsements of DARPA or the U.S. Government.  ... 
arXiv:1901.11429v2 fatcat:bjs7pftpebggdnu7tv2bjplwyi

Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements

Venkata Govindarajan, Benjamin Van Durme, Aaron Steven White
2019 Transactions of the Association for Computational Linguistics  
We present a novel semantic framework for modeling linguistic expressions of generalizationgeneric, habitual, and episodic statements—as combinations of simple, real-valued referential properties of  ...  of generalization.  ...  The views and conclusions contained in this publication are those of the authors and should not be interpreted as representing official policies or endorsements of DARPA or the U.S. Government.  ... 
doi:10.1162/tacl_a_00285 fatcat:mwe3zgl3njahfhvpm3ndq5ndju

Ambiguity in the Sense of Agency [chapter]

Shaun Gallagher
2013 Decomposing the Will  
Yet, the general idea that internal models divide into inverse models which compute the means towards a given goal and forward models which compute the consequences of implementing these means retains  ...  motivations, projects and general lines of conduct  ... 
doi:10.1093/acprof:oso/9780199746996.003.0007 fatcat:2upkpf25ajaoxicgtrbagzmorm

Human-like general language processing [article]

Feng Qi, Guanjun Jiang
2020 arXiv   pre-print
The HGLP network learns from easy to hard like a child, understands word meaning by coactivating multimodal neurons, comprehends and generates sentences by real-time constructing a virtual world model,  ...  To let machines understand, learn, and use language flexibly, we propose a human-like general language processing (HGLP) architecture, which contains sensorimotor, association, and cognitive systems.  ...  Third, humans comprehend and generate sentences by real-time constructing a virtual world model.  ... 
arXiv:2005.09175v2 fatcat:mh5xp2acbnayjo5hwz6ayete4e

The verbal nature of worry in generalized anxiety: Insights from the brain

Elena Makovac, Jonathan Smallwood, David R. Watson, Frances Meeten, Hugo D. Critchley, Cristina Ottaviani
2018 NeuroImage: Clinical  
material, and thereby prevents normal adaptive habituation (Borkovec et al., 2004) .  ...  Instead, the form and content of worry was assessed a posteriori, allowing participants to engage in their habitual form of worry without being constrained by instruction.  ... 
doi:10.1016/j.nicl.2017.12.014 pmid:29527493 pmcid:PMC5842731 fatcat:5hczdigpn5ewfmxxl4ht3kdo3e

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
We propose a candidate ranking model for "this-issue" anaphora resolution that explores different "issue"-specific and general abstract-anaphora features. The model is not restricted to nominal  ...  Yang Song, Jing Jiang, Wayne Xin Zhao, Sujian Li, Pairwise coreference resolution models must merge pairwise coreference decisions to generate final outputs.  ...  For each verb lemma, associated duration information was collected for episodic and habitual uses of the verb.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

General Problems of Science for Pedestrian

Leo G. Sapogin, V. A. Dzhanibekov, Yu. A. Ryabov
2018 International Journal of Sciences  
The paper proposes a model of a unitary quantum field theory where the particle is represented as a wave packet.  ...  The envelope of the process is identified with a conventional wave function. Equation of such a field is nonlinear and relativistically invariant.  ...  We are sure that in such a way water can be decomposed for Oxygen and Hydrogen. At normal conditions the mixture of Oxygen and Hydrogen is stable.  ... 
doi:10.18483/ijsci.1714 fatcat:iipqtc3ywvcbbcgzpjofllvcwu

Patient-generated evidence in Epidermolysis Bullosa (EB): Development of a questionnaire to assess the Quality of Life [chapter]

Laura Benedan, May El Hachem, Carlotta Galeone, Paolo Mariani, Cinzia Pilo, Gianluca Tadini
2021 Proceedings e report  
Starting from this initial set of areas and through the repetition of Delphi (up to three rounds), a gradual refinement of the statements was carried out to define a list of items to be included in an  ...  Epidermolysis Bullosa (EB) is a group of genetic conditions that cause fragile and blistering skin.  ...  She is the author and co-author of numerous scientific papers published in national and international journals, and she has been a member of research projects and scientific committees for several national  ... 
doi:10.36253/978-88-5518-461-8.38 fatcat:2yp72egbhrcvxng7avqoskbpse

A global framework for a systemic view of brain modeling

Frederic Alexandre
2021 Brain Informatics  
A systemic description of the brain is presented here, as a contribution to developing a brain theory and as a general framework where specific models in computational neuroscience can be integrated and  ...  to semantic memory in the posterior cortex, episodic memory in the hippocampus and working memory in the frontal cortex.  ...  Acknowledgements I thank all my former and present students, whose work contributed to build that framework Statement This article is present on a university repository website and can be accessed on  ... 
doi:10.1186/s40708-021-00126-4 pmid:33591440 fatcat:a23ehkm5o5cxjlf4siz6nrh5ly

Bilinearity, rules, and prefrontal cortex

Peter Dayan
2007 Frontiers in Computational Neuroscience  
Many skills underlie these abilities; in this paper, we focus on the particular question of a uniform architecture for the instantiation of habitual performance and the storage, recall, and execution of  ...  Our account builds on models of gated working memory, and involves a bilinear architecture for representing conditional input-output maps and for matching rules to the state of the input and working memory  ...  However, episodic memories and rules differ in terms of the way that they should generalize.  ... 
doi:10.3389/neuro.10.001.2007 pmid:18946523 pmcid:PMC2525936 fatcat:xph46eaqcvaexptzlxwyljokby

Simple substrates for complex cognition

Peter Dayan
2008 Frontiers in Neuroscience  
Here, we review a recent suggestion for a uniform architecture for habitual and rule-based execution, discuss some of the habitual mechanisms that underpin the use of rules, and consider a statistical  ...  Peter Dayan is a Professor of Computational Neuroscience at UCL built mathematical and computational models of neural processing, with a particular emphasis on representation and learning.  ...  The recognition model takes a view of a scene, and reverse-engineers it to work out what objects and lighting generated it.  ... 
doi:10.3389/neuro.01.031.2008 pmid:19225599 pmcid:PMC2622746 fatcat:wgxr3rzvkfdfrglt4imby6mdn4

Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework

Samuel J. Gershman, Nathaniel D. Daw
2017 Annual Review of Psychology  
A seemingly distinct challenge is that, cognitively, theories of RL have largely involved procedural and semantic memory, the way in which knowledge about action values or world models extracted gradually  ...  This focus on semantic memory leaves out many aspects of memory, such as episodic memory, related to the traces of individual events. We suggest that these two challenges are related.  ...  ACKNOWLEDGMENTS The authors are grateful to Daphna Shohamy for longstanding collaborative research underlying many of the ideas in this review and helpful comments on the manuscript.  ... 
doi:10.1146/annurev-psych-122414-033625 pmid:27618944 pmcid:PMC5953519 fatcat:5kyjf3cbavb5rgbprwj54prhku

Sleep Duration and Depressive Symptoms: A Gene-Environment Interaction

Nathaniel F. Watson, Kathryn Paige Harden, Dedra Buchwald, Michael V. Vitiello, Allan I. Pack, Eric Strachan, Jack Goldberg
2014 Sleep  
Participants self-reported habitual sleep duration and depressive symptoms.  ...  Data were analyzed using quantitative genetic interaction models, which allowed the magnitude of additive genetic, shared environmental, and non-shared environmental influences on depressive symptoms to  ...  Heritability estimates are generated from model parameters that require a single number.  ... 
doi:10.5665/sleep.3412 pmid:24497663 pmcid:PMC3900629 fatcat:kpde3bpovzhp3adszljdmphmde

Toward the biological model of the hippocampus as the successor representation agent [article]

Hyunsu Lee
2021 arXiv   pre-print
Inspired by the successor representation (SR) learning algorithms, which decompose value function of TD learning into reward and state transition, they argued that the rate of firing of CA1 place cells  ...  The hippocampus is an essential brain region for spatial memory and learning. Recently, a theoretical model of the hippocampus based on temporal difference (TD) learning has been published.  ...  Rather, they generate the place fields by exploring the unfamiliar environment; it is impossible for the AI agent of the SR model.  ... 
arXiv:2006.11975v2 fatcat:goldh3exxzafbimvojwjsnfbzm

An Integrated Theory of Thinking and Speaking that Draws on Vygotsky and Bakhtin/Vološinov

Wolff-Michael Roth
2013 Dialogic Pedagogy  
languages; the model thereby integrates the psychological and sociological dimensions at the heart of the two approaches.  ...  In this article, I first present a model that integrates the fundamentally common features in the two approaches and present a table with the correspondences of the theoretical terms across four European  ...  Wave and particle cannot be just stuck together "in the same statement" to lead to a dialectical model.  ... 
doi:10.5195/dpj.2013.20 fatcat:eqdxmtx74rgw5l6ryp57cry3d4
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