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Towards a Better Understanding of Memory-Based Reasoning Systems [chapter]

John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha
1994 Machine Learning Proceedings 1994  
In this practical context, the second question to ask is: are memory-based reasoning (MBI~) methods effective for a given problem domain as more complex approaches (e.g., probabilistic networks).  ...  We were originally motivated to study the relative strengths and weaknesses of probabilistic vs. memory based reasoning approaches because of the recent application of these methods to the analysis of  ...  Acknowledgements This paper is based on work supported by the National Science foundation under Grants No. IRI-9223591 and IRI-9220960. Acknowledgement: We would like to thank M.M. Richter, K.-D.  ... 
doi:10.1016/b978-1-55860-335-6.50037-4 dblp:conf/icml/RachlinKSA94 fatcat:73ksx6zefbblje6hhqwtkkc3qu

TOWARDS CHARACTERISTICS OF MEMORY-BASED RECONSTRUCTION OF THE REASONING DISCOURSE: A COGNITIVE STYLE PARAMETER

I.A. Stepanova, L.G. Vasil'ev
2021 Vestnik Udmurtskogo universiteta. Istoriâ i filologiâ  
The groups were assigned to read and to listen to a text containing reasoning and, an hour later, to restore the initial reasoning.  ...  The authors carried out a respondent-style identification experiment, based on the Embedded Figures Test methodology by the AKT-70 technique (U. Ettrich).  ...  Vasil'ev TOWARDS CHARACTERISTICS OF MEMORY-BASED RECONSTRUCTION OF THE REASONING The article discusses functional features of the argumentative discourse and resulting characteristics of its postperceptional  ... 
doi:10.35634/2412-9534-2021-31-3-468-477 fatcat:6lg6slchozfedcqq5qdhw2ehee

Case Based Reasoning as a Model for Cognitive Artificial Intelligence [chapter]

Susan Craw, Agnar Aamodt
2018 Lecture Notes in Computer Science  
Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their memory.  ...  CBR's retrieve and reuse reasoning is also knowledge-rich because of its nearest neighbour retrieval and analogy-based adaptation of retrieved solutions.  ...  For this we shall view a CBR system as a case based memory of experiences and its retrieve and reuse reasoning.  ... 
doi:10.1007/978-3-030-01081-2_5 fatcat:spwkpikuhbh7pnihfuswp5v77a

Hot Cognition or Cool Consideration? Testing the Effects of Motivated Reasoning on Political Decision Making

David P. Redlawsk
2002 Journal of Politics  
This article makes use of a unique data set collected using a dynamic information board experiment to test important effects of motivated reasoning.  ...  Researchers attempting to understand how citizens process political information have advanced motivated reasoning to explain the joint role of affect and cognition.  ...  Voters motivated toward accuracy goals and memory processing will not show these effects. Motivated reasoning also has implications for information search.  ... 
doi:10.1111/1468-2508.00161 fatcat:6p2brvfq6rf6bnnzvcfpewsuk4

An Automatically Composable OWL Reasoner for Resource Constrained Devices

Wei Tai, Rob Brennan, John Keeney, Declan O'Sullivan
2009 2009 IEEE International Conference on Semantic Computing  
A design and prototype implementation are presented, with initial evaluations confirming that this approach saves memory without loss of reasoning ability, which facilitates OWL reasoning on the resource  ...  In order to achieve local autonomy, it is necessary to push semantics towards the edge of the sensor network, but this is hampered by the lack of availability of lightweight ontology processing and reasoning  ...  This approach helps reasoners to overcome memory limitation for knowledge bases with large ABoxes.  ... 
doi:10.1109/icsc.2009.41 dblp:conf/semco/TaiBKO09 fatcat:2wsqzophlrdcfl6ixwgzt4uypa

Page 26 of Primary Cardiology Vol. 13, Issue 10 [page]

1987 Primary Cardiology  
The neuropsychologi- cal tests used should evaluate cognitive functioning in the areas of learning, memory, attention/concenitration, and abstract reasoning.  ...  Attitudes Toward Health CareSystem Asa final step, the Health Opinions Survey" assesses the patient’s atti- tude toward the health care system.  ... 

Attention-based Sentiment Reasoner for aspect-based sentiment analysis

Ning Liu, Bo Shen, Zhenjiang Zhang, Zhiyuan Zhang, Kun Mi
2019 Human-Centric Computing and Information Sciences  
Availability of data and materials The datasets used during the current study are available from the corresponding author on reasonable request.  ...  Reasoner Based on aspect-dependent representation memory, we can store the semantics of a sentence as an object that is a highly abstract generalization.  ...  Attention-based Sentiment Reasoner The proposed AS-Reasoner model has a multi-layered architecture, as shown in Fig. 2 .  ... 
doi:10.1186/s13673-019-0196-3 fatcat:5resqbiuwvhqxoml6ftxdmfo6a

A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture

Tomas Arredondo, Patricio Castillo, Pablo Benapres, Javiera Quiroz, Miguel Torres
2011 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence  
We describe a biologically inspired memory in a multi-agent based robotic architecture.  ...  This memory is implemented in a multiple agent behavior based blackboard architecture as an object recognition agent.  ...  Deliberative Towards Means-Ends Architectures Reasoning that is directed towards actions is one of the main characteristics of deliberative toward means-ends reasoning [3] .  ... 
doi:10.1109/ictai.2011.58 dblp:conf/ictai/ArredondoCBQT11 fatcat:j2cmyhu52vg5hgjh3pz76hs7sa

Author accepted manuscript: Tracing Current Explanations in Memory: A Process Analysis Based on Eye-Tracking

Anja Klichowicz, Sascha Strehlau, Martin R. K. Baumann, Josef F. Krems, Agnes Rosner
2020 Quarterly Journal of Experimental Psychology  
The theory of abductive reasoning (TAR) allows detailed predictions on what information is stored and retrieved from memory during reasoning.  ...  The theory of abductive reasoning (TAR) allows detailed predictions on what information is stored and retrieved from memory during reasoning.  ...  In diagnostic reasoning, explanations are retrieved from a predefined set held in long-term memory, whereas in abductive reasoning, explanations are inferred from a given case-for instance, existing observations-based  ... 
doi:10.1177/1747021820922509 pmid:32338577 fatcat:x4k4oskr3zab7ljefbmqvtdusm

The unreliability of egocentric bias across self–other and memory–belief distinctions in the Sandbox Task

Steven Samuel, Edward W. Legg, Robert Lurz, Nicola S. Clayton
2018 Royal Society Open Science  
the first location from memory.  ...  would look for it (action prediction of another based on false belief).  ...  We performed one final test of hypothesis 1, based on our prediction that bias should be greater on experimental trials than Own Memory trials if reasoning about others is enough to create a difference  ... 
doi:10.1098/rsos.181355 pmid:30564420 pmcid:PMC6281948 fatcat:bgla3yzoovhr5iva5tu7qkb33a

Watching diagnoses develop: Eye movements reveal symptom processing during diagnostic reasoning

Agnes Scholz, Josef F. Krems, Georg Jahn
2017 Psychonomic Bulletin & Review  
In this experiment, we applied memory indexing, an eye-tracking method that affords rich time-course information concerning memory-based cognitive processing during higher order thinking, to reveal symptom  ...  Finding a probable explanation for observed symptoms is a highly complex task that draws on information retrieval from memory.  ...  We tested coherence maximization during diagnostic reasoning using memory indexing-a new method that is based on observing eye movements while participants solve memory-based, higher level cognitive tasks  ... 
doi:10.3758/s13423-017-1294-8 pmid:28444634 fatcat:6vxvsym4yfhb5d5rzai4jcdcra

A Perspective on Knowledge Based and Intelligent Systems Implementation in Industrie 4.0

Carlos Toro, Iñigo Barandiaran, Jorge Posada
2015 Procedia Computer Science  
Such systems should be able to decide and trigger actions, and control each other independently and for such reason it is required the use of Knowledge based and intelligent information approaches.  ...  In this paper we present our perspective on how to support Industrie 4.0 with Knowledge based and intelligent systems.  ...  Section 3 presents our proposal for an architecture aimed towards the implementation of Knowledge Based and Intelligent systems in Industrie 4.0.  ... 
doi:10.1016/j.procs.2015.08.143 fatcat:hlbfzbaflzbbpgspfwfhq2gy5e

Anthropomorphic Self-Models for Metareasoning Agents [chapter]

Andrew S. Gordon, Jerry R. Hobbs, Michael T. Cox
2011 Metareasoning  
This paper outlines an approach involving the formulation of anthropomorphic self-models, where the representations that are used for metareasoning are based on formalizations of commonsense psychology  ...  We focus specifically on metareasoning about memory, but argue that anthropomorphic self-models support the development of integrated, reusable, broadcoverage representations for use in metareasoning systems  ...  In this view, the case base is itself the agent's memory, the cases are its memories, case indexing is memory storage, and case retrieval is reminding.  ... 
doi:10.7551/mitpress/9780262014809.003.0019 fatcat:kf2dp4lds5bwlnzva74tuqgd3y

Top k Memory Candidates in Memory Networks for Common Sense Reasoning [article]

Vatsal Mahajan
2019 arXiv   pre-print
In this work, the model dynamically selects top k most relevant memory candidates that can be used to successfully solve reasoning tasks.  ...  Usually, the information provided to the system for a reasoning task is just the query or some supporting story, which is often not enough for common reasoning tasks.  ...  Some external knowledge is required to help with this spatial reasoning. In the first experiment, I am working towards the Winograd Schema Challenge.  ... 
arXiv:1801.04622v2 fatcat:jiws77nglrcnji4ynqam447dcu

Toward a New Paradigm for Imitation Learning and Explainable AI Inspired by Cognitive Memory

Luca Buoncompagni, Fulvio Mastrogiovanni
2019 Zenodo  
The algorithm recognises scenes and sub-scenes based on a general-purpose taxonomy we formalised, which should be implemented for each application.  ...  Also, we implemented an attentive process inspired by a cognitive memory for limiting the increase of reasoning effort for a taxonomy over time. III.  ...  Such a classification can be accessed through queries to a reasoner, i.e., an algorithm that infer semantic structures based on logical consistency.  ... 
doi:10.5281/zenodo.4785671 fatcat:tnk23tmkivbeneqbkcmsboeqny
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