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A Multi-Domain Evaluation of Scaling in a General Episodic Memory

Nate Derbinsky, Justin Li, John Laird
In this paper, we review the implementation of episodic memory in Soar and present an expansive evaluation of that system.  ...  In these domains, we characterize properties of environments, tasks, and episodic cues that affect performance, and evaluate the ability of Soar's episodic memory to support hours to days of real-time  ...  We used 15 cues in TankSoar, many developed in prior work (Derbinsky and Laird 2009) . These cues implemented virtual-sensing, detecting-repetition, and action-modeling capabilities.  ... 
doi:10.1609/aaai.v26i1.8151 fatcat:ezbf2rs4ufazvet4prbsdb5rsm

Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks [article]

Guohao Li, Hang Su, Wenwu Zhu
2017 arXiv   pre-print
Afterwards, we employ dynamic memory networks to attend to the large body of facts in the knowledge graph and images, and then perform reasoning over these facts to generate corresponding answers.  ...  To address this issue, we propose a novel framework which endows the model capabilities in answering more complex questions by leveraging massive external knowledge with dynamic memory networks.  ...  the evaluation of a more realistic VQA task.  ... 
arXiv:1712.00733v1 fatcat:tqfh5otaqrgl7jq6l6bjmenvm4

Rapid Task-Solving in Novel Environments [article]

Sam Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt Botvinick, David Raposo
2021 arXiv   pre-print
To enable progress toward RTS, we introduce two challenge domains: (1) a minimal RTS challenge called the Memory&Planning Game and (2) One-Shot StreetLearn Navigation, which introduces scale and complexity  ...  within a single episode.  ...  In the first, all of the episodic memories attend to all of the others to produce a tensor with the same dimensions as the episodic memory.  ... 
arXiv:2006.03662v3 fatcat:wpwq4cdukffhlbm6vhk6vtl5jm

Long-term neuropsychological sequelae, emotional wellbeing and quality of life in patients with acquired thrombotic thrombocytopenic purpura

Silvia Riva, Ilaria Mancini, Alberto Maino, Barbara Ferrari, Andrea Artoni, Pasquale Agosti, Flora Peyvandi
2019 Haematologica  
A higher degree of impairment of memory domains was found in patients with neurological involvement at the time of presentation of the first acute TTP episode.  ...  Our study demonstrates compromised memory and attention functions, persisting anxiety/depression symptoms and a generally reduced quality of life in patients recovering from acute acquired TTP.  ...  neurocognitive assessments in patients with and without neurological signs and symptoms at presentation of the first acute TTP episode, we observed a higher degree of impairment in the memory domains  ... 
doi:10.3324/haematol.2019.226423 pmid:31558667 pmcid:PMC7327631 fatcat:b4otbcq2hndlvix7wucgw5e26a

Cognitive deficits after recovery from thrombotic thrombocytopenic purpura

April S. Kennedy, Qurana F. Lewis, James G. Scott, Johanna A. Kremer Hovinga, Bernhard Lämmle, Deirdra R. Terrell, Sara K. Vesely, James N. George
2009 Transfusion  
were evaluated for a broad range of cognitive functions 0.1 to 10.6 years (median, 4.0 years) after their most recent episode.  ...  STUDY DESIGN AND METHODS: Twenty-four patients who were enrolled in the Oklahoma TTP-HUS Registry for their initial episode of TTP, 1995TTP, -2006, and who had ADAMTS13 activity of less than 10 percent  ...  List learning is a memory task that requires rote memorization of episodic information (i.e., a list of words presented at different times).  ... 
doi:10.1111/j.1537-2995.2009.02101.x pmid:19222817 fatcat:tnq7mgy4qrchpahmxbrrv465bi

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

Haiyan Yin, Sinno Pan
Furthermore, we propose a new sampling framework termed hierarchical prioritized experience replay to selectively choose experiences from the replay memories of each task domain to perform learning on  ...  With the above two attempts, we aim to accelerate the learning of the multi-task policy network while guaranteeing a good performance.  ...  Different from training a DQN for a single task domain (Schaul et al. 2016) , to train a multi-task policy network with policy distillation, instead of using the TD error, the scale of gradient value  ... 
doi:10.1609/aaai.v31i1.10733 fatcat:znbzsfifmvfqzega4d444oyzia

Analysis of Clinical Characteristics of Cognitive Impairment in Patients with Acute Hemorrhagic Stroke

J. ZHOU, Z. Y. WANG, H. B. CHEN, R. HU, A. H. GUO, Z. Li, H. M. HUANG, Y. YANG, J. X. HU, X. P. PAN
2020 Indian Journal of Pharmaceutical Sciences  
Different degrees of cognitive impairment involving multiple cognitive domains could occur in the acute stage of hemorrhagic stroke, among which language ability, memory, execution and application ability  ...  comprehensive evaluation of cognitive function.  ...  Acknowledgements: This study was supported by Guangzhou Planned Project of Science and Technology (No. 2016201604030018) and Innovative Clinical Technique of Guangzhou (2019GX06).  ... 
doi:10.36468/pharmaceutical-sciences.spl.112 fatcat:bxwz324p4bbcxodiiesjwloeha

Instrumental Activities of Daily Living, Neuropsychiatric Symptoms, and Neuropsychological Impairment in Mild Cognitive Impairment

Terrie B. Ginsberg, Leonard Powell, Sheina Emrani, Victor Wasserman, Stephanie Higgins, Anita Chopra, Thomas A. Cavalieri, David J. Libon
2019 The Journal of the American Osteopathic Association  
Participants were evaluated for MCI and possible dementia at an outpatient memory clinic on the basis of a comprehensive neuropsychological evaluation, a geriatric psychiatry evaluation, a magnetic resonance  ...  Episodic memory did not enter the final model.  ...  Single and multi-domain MCI were classified using criteria suggested by Petersen et al. 1 Diagnoses of MCI were single domain amnestic MCI (aMCI), single domain dysexecutive MCI (dysMCI), and mixed or  ... 
doi:10.7556/jaoa.2019.015 pmid:30688355 fatcat:gltyt6ak5zfoti77h7u2j34k3a

Executive dysfunction contributes to verbal encoding and retrieval deficits in posterior cortical atrophy

Deepti Putcha, Scott M. McGinnis, Michael Brickhouse, Bonnie Wong, Janet C. Sherman, Bradford C. Dickerson
2018 Cortex  
The early diagnostic criteria specify a relative sparing of functioning in other cognitive domains, including executive functions, language, and episodic memory, yet little is known of the cognitive profile  ...  We developed a novel consensus rating method-the Neuropsychological Assessment Rating (NAR) scale-to grade the severity of test performance impairments in selected cognitive domains and subdomains.  ...  This research was carried out in part at the Athinoula A.  ... 
doi:10.1016/j.cortex.2018.04.010 pmid:29864594 pmcid:PMC6120771 fatcat:odbog3skkrhzpmpbwmvnyiqlhi

Cognitive Profiles and Atrophy Ratings on MRI in Senior Patients With Mild Cognitive Impairment

Marianne M. Flak, Haakon R. Hol, Susanne S. Hernes, Linda Chang, Thomas Ernst, Andreas Engvig, Knut Jørgen Bjuland, Bengt-Ove Madsen, Elisabeth M. S. Lindland, Anne-Brita Knapskog, Ingun D. Ulstein, Trine E. E. Lona (+2 others)
2018 Frontiers in Aging Neuroscience  
Atrophy of the medial temporal lobe, based on MTA scores, may be a sensitive biomarker for the functional episodic memory deficits associated with MCI.  ...  MCI subtypes were determined after inclusion, and z-scores normalized to our control group were generated for each cognitive domain in each MCI participant.  ...  We thank the study participants for their interest and cooperation in the project, and acknowledge the Norwegian Registry for persons being evaluated for cognitive symptoms in specialized care (NorCog)  ... 
doi:10.3389/fnagi.2018.00384 pmid:30519185 pmcid:PMC6258794 fatcat:2zderdawefaxbbzm7zqe2azdii

Distinct resting-state functional connections associated with episodic and visuospatial memory in older adults

Sana Suri, Anya Topiwala, Nicola Filippini, Enikő Zsoldos, Abda Mahmood, Claire E. Sexton, Archana Singh-Manoux, Mika Kivimäki, Clare E. Mackay, Stephen Smith, Klaus P. Ebmeier
2017 NeuroImage  
memory domains differ in terms of the associated functional connections between the MTL and other resting-state brain networks.  ...  Episodic and spatial memory are commonly impaired in ageing and Alzheimer's disease.  ...  The Multi-Echo MPRAGE sequence is a Works-in-Progress package, developed by Siemens in collaboration with the Athinoula A. Martinos, Center for Biomedical Imaging, Massachusetts General Hospital.  ... 
doi:10.1016/j.neuroimage.2017.07.049 pmid:28756237 pmcid:PMC5678287 fatcat:tjbed5wqynbudewls6pliha6q4

A Longitudinal Study of Episodic and Semantic Autobiographical Memory in aMCI and Alzheimer's Disease Patients

Juan C. Meléndez, Alfonso Pitarque, Iraida Delhom, Elena Real, Mireia Abella, Encarnación Satorres
2021 International Journal of Environmental Research and Public Health  
Conclusions: The deterioration of episodic and semantic autobiographical memory in AD is confirmed; however, although the episodic was impaired in aMCI, a pattern that evolved toward deterioration over  ...  a period of eighteen months was observed for the semantic autobiographical memory.  ...  Due to the multi-modal nature of AM retrieval, several functional domains are engaged during recollection.  ... 
doi:10.3390/ijerph18136849 fatcat:ietpqia5efewnkg2afc77csjzq

Specific Measures of Executive Function Predict Cognitive Decline in Older Adults

Lindsay R. Clark, Dawn M. Schiehser, Gali H. Weissberger, David P. Salmon, Dean C. Delis, Mark W. Bondi
2011 Journal of the International Neuropsychological Society  
Of 71 participants, 15 demonstrated significant decline over a 1-year period on the Dementia Rating Scale (Mattis, 1988) and the remaining participants remained stable.  ...  These findings suggest that some executive function measures requiring inhibition and switching provide predictive utility of subsequent global cognitive decline independent of episodic memory and may  ...  At the evaluation prior to DRS decline in our sample, 5 of the decliners were classified as MCI (1 single-domain amnestic, 3 multi-domain amnestic, 1 single-domain non-amnestic) and 10 were classified  ... 
doi:10.1017/s1355617711001524 pmid:22115028 pmcid:PMC3314335 fatcat:pwvjsduvczhcrbr3ymropitt34

Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients [chapter]

Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber
2010 Lecture Notes in Computer Science  
We employ Multi-Dimensional Recurrent Neural Networks with Long Short-Term Memory cells to handle the multi-dimensional data of the board game in a very natural way.  ...  In this paper we attempt to tackle this challenge through a combination of two recent developments in Machine Learning.  ...  We compared these methods on the task of playing the Capture Game, a variant of Go, on small boards.  ... 
doi:10.1007/978-3-642-15822-3_14 fatcat:qbyhg4nnszaavhq3wuln3vbguq

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning [article]

Kevin Esslinger, Robert Platt, Christopher Amato
2022 arXiv   pre-print
Such tasks typically require some form of memory, where the agent has access to multiple past observations, in order to perform well.  ...  One popular way to incorporate memory is by using a recurrent neural network to access the agent's history.  ...  In particular, transformers use a variant of attention called multi-headed scaled dot-product attention.  ... 
arXiv:2206.01078v1 fatcat:ij76s5zbvzeabiu4iqax2lnaje
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