Dissertations / Theses on the topic 'Reinforcement (Psychology) Discrimination learning'
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Guerrero, Luis Fernando. "Disruption of conditional discrimination and its effects on equivalence /." abstract and full text PDF (free order & download UNR users only), 2005. http://0-wwwlib.umi.com.innopac.library.unr.edu/dissertations/fullcit/3198197.
Full text"May 2005." Includes bibliographical references (leaves 64-72). Online version available on the World Wide Web. Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2005]. 1 microfilm reel ; 35 mm.
Delgado, Diana. "Subsitution of stimulus functions as a means to distinguish among different types of functional classes /." abstract and full text PDF (free order & download UNR users only), 2005. http://0-wwwlib.umi.com.innopac.library.unr.edu/dissertations/fullcit/1430443.
Full text"May, 2005." Includes bibliographical references (leaves 47-49). Online version available on the World Wide Web. Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2005]. 1 microfilm reel ; 35 mm.
Koelker, Rachel Lee Ellis Janet. "Comparing a discriminative stimulus procedure to a pairing procedure conditioning neutral social stimuli to function as conditioned reinforcers /." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12143.
Full textStancato, Stefanie S. "On the Further Exploration of Interactions between Equivalence Classes and Analytic Units." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc849665/.
Full textSilguero, Russell V. "Do contingency-conflicting elements drop out of equivalence classes? Re-testing Sidman's (2000) theory." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc848078/.
Full textKoelker, Rachel Lee. "Comparing a discriminative stimulus procedure to a pairing procedure: Conditioning neutral social stimuli to function as conditioned reinforcers." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12143/.
Full textSansing, Elizabeth M. "Teaching Observational Learning to Children with Autism: An In-vivo and Video-Model Assessment." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062891/.
Full textWiist, Catherine E. C. "The Effects of Differential Outcomes on Audio-Visual Conditional Discriminations in Children with ASD." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157625/.
Full textStachenfeld, Kimberly. "Learning Neural Representations that Support Efficient Reinforcement Learning." Thesis, Princeton University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10824319.
Full textRL has been transformative for neuroscience by providing a normative anchor for interpreting neural and behavioral data. End-to-end RL methods have scored impressive victories with minimal compromises in autonomy, hand-engineering, and generality. The cost of this minimalism in practice is that model-free RL methods are slow to learn and generalize poorly. Humans and animals exhibit substantially improved flexibility and generalize learned information rapidly to new environment by learning invariants of the environment and features of the environment that support fast learning rapid transfer in new environments. An important question for both neuroscience and machine learning is what kind of ``representational objectives'' encourage humans and other animals to encode structure about the world. This can be formalized as ``representation feature learning,'' in which the animal or agent learns to form representations with information potentially relevant to the downstream RL process. We will overview different representational objectives that have received attention in neuroscience and in machine learning. The focus of this overview will be to first highlight conditions under which these seemingly unrelated objectives are actually mathematically equivalent. We will use this to motivate a breakdown of properties of different learned representations that are meaningfully different and can be used to inform contrasting hypotheses for neuroscience. We then use this perspective to motivate our model of the hippocampus. A cognitive map has long been the dominant metaphor for hippocampal function, embracing the idea that place cells encode a geometric representation of space. However, evidence for predictive coding, reward sensitivity, and policy dependence in place cells suggests that the representation is not purely spatial. We approach the problem of understanding hippocampal representations from a reinforcement learning perspective, focusing on what kind of spatial representation is most useful for maximizing future reward. We show that the answer takes the form of a predictive representation. This representation captures many aspects of place cell responses that fall outside the traditional view of a cognitive map. We go on to argue that entorhinal grid cells encode a low-dimensional basis set for the predictive representation, useful for suppressing noise in predictions and extracting multiscale structure for hierarchical planning.
Cigales, Maricel. "Vicarious reinforcement is a result of earlier learning." FIU Digital Commons, 1995. http://digitalcommons.fiu.edu/etd/2367.
Full textJacome, Natalie B. "The effects of outcome reversals on children's conditional discrimination, equivalence, and reinforcer-probe performances /." Electronic version (PDF), 2007. http://dl.uncw.edu/etd/2007-2/jacomen/nataliejacome.pdf.
Full textCosta, Daniel S. J. "Maintenance of behaviour when reinforcement becomes delayed." Connect to full text, 2009. http://ses.library.usyd.edu.au/handle/2123/5078.
Full textIncludes graphs and tables. Title from title screen (viewed June 15, 2009) Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Psychology, Faculty of Science. Includes bibliographical references. Also available in print form.
Duarte, Myra. "The effects of immediate versus delayed reinforcement on infant operant learning." FIU Digital Commons, 2002. http://digitalcommons.fiu.edu/etd/3089.
Full textRitter, Samuel. "Meta-reinforcement Learning with Episodic Recall| An Integrative Theory of Reward-Driven Learning." Thesis, Princeton University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13420812.
Full textResearch on reward-driven learning has produced and substantiated theories of model-free and model-based reinforcement learning (RL), which respectively explain how humans and animals learn reflexive habits and build prospective plans. A highly developed line of work has unearthed the role of striatal dopamine in model-free learning, while the prefrontal cortex (PFC) appears to critically subserve model-based learning. The recent theory of meta-reinforcement learning (meta-RL) explained a wide array of findings by positing that the model-free dopaminergic reward prediction error trains the recurrent prefrontal network to execute arbitrary RL algorithms—including model-based RL—in its activations.
In parallel, a nascent understanding of a third reinforcement learning system is emerging: a non-parametric system that stores memory traces of individual experiences rather than aggregate statistics. Research on such episodic learning has revealed its unmistakeable traces in human behavior, developed theory to articulate algorithms underlying that behavior, and pursued the contention that the hippocampus is centrally involved. These developments lead to a set of open questions about (1) how the neural mechanisms of episodic learning relate to those underlying incremental model-free and model-based learning and (2) how the brain arbitrates among the contributions of this abundance of valuation strategies.
This thesis extends meta-RL to provide an account for episodic learning, incremental learning, and the coordination between them. In this theory of episodic meta-RL (EMRL), episodic memory reinstates activations in the prefrontal network based on contextual similarity, after passing them through a learned gating mechanism (Chapters 1 and 2). In simulation, EMRL can solve episodic contextual water maze navigation problems and episodic contextual bandit problems, including those with Omniglot class contexts and others with compositional structure (Chapter 3). Further, EMRL reproduces episodic model-based RL and its coordination with incremental model-based RL on the episodic two-step task (Vikbladh et al., 2017; Chapter 4). Chapter 5 discusses more biologically detailed extensions to EMRL, and Chapter 6 analyzes EMRL with respect to a set of recent empirical findings. Chapter 7 discusses EMRL in the context of various topics in neuroscience.
Foo, Chia Mun. "Learning Requires Attention for Binding Affective Reinforcement to Information Content." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/scripps_theses/555.
Full textAquili, Luca. "Refinement of biologically inspired models of reinforcement learning." Thesis, St Andrews, 2010. http://hdl.handle.net/10023/886.
Full textBrackney, Ryan Vaidya Manish. "Interactions of equivalence and other behavioral relations simple successive discrimination training /." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12087.
Full textOrtz, Courtney. "Aging and Associative and Inductive Reasoning Processes in Discrimination Learning." TopSCHOLAR®, 2006. http://digitalcommons.wku.edu/theses/266.
Full textBredthauer, Jennifer Lyn Johnston James M. "The assessment of preference for qualitatively different reinforcers in persons with developmental and learning disabilities a comparison of value using behavioral economic and standard preference assessment procedures /." Auburn, Ala, 2009. http://hdl.handle.net/10415/1809.
Full textLee, Coral Em. "Order effects of variability-contingent and variability-independent point delivery: Effects on operant variability and target sequence acquisition." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4502/.
Full textBrown, Morgan E. "Effects of Age, Task Type, and Information Load on Discrimination Learning." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1648.
Full textRidley, Elizabeth. "Error-Related Negativity and Feedback-Related Negativity on a Reinforcement Learning Task." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etd/3714.
Full textHeimisson, Gudmundur Torfi. "The importance of program-delivered differential reinforcement in the development of classical music auditory discrimination." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000440.
Full textJones, Aaron A. Glenn Sigrid S. "Conditional discrimination and stimulus equivalence effects of suppressing derived symmetrical responses on the emergence of transitivity /." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-3658.
Full textMadrigal-Bauguss, Jessica Glenn Sigrid S. "Transfer of "good" and "bad" functions within stimulus equivalence classes." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-6080.
Full textBradley, Curtis. "Examining the Associative Learning and Accumbal Dopaminergic Mechanisms of Caffeine Reinforcement." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3457.
Full textSuits, David B. "A simplified drive-reinforcement model for unsupervised learning in artificial neural networks /." Online version of thesis, 1992. http://hdl.handle.net/1850/11087.
Full textRidley, Elizabeth, Marissa Jones, Ethan Ashworth, and Eric Sellers. "Error-related Negativity and Feedback-related Negativity on a Reinforcement Learning Task." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/67.
Full textPalmer, Ashlyn. "Using Concurrent Schedules of Reinforcement to Decrease Behavior." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062900/.
Full textZayac, Ryan M. "Contriving establishing operations responsese of individuals with developmental disabilities during learning task /." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Fall/Thesis/ZAYAC_RYAN_48.pdf.
Full textAl-Safi, Abdullah Taha. "Social reinforcement and risk-taking factors to enhance creativity in Saudi Arabian school children." Thesis, Cardiff University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296226.
Full textCorns, David Allan. "The effects of graduated stimulus change on learning efficiency in a visual discrimination task." Virtual Press, 1990. http://liblink.bsu.edu/uhtbin/catkey/720342.
Full textDepartment of Educational Psychology
Jagodnik, Kathleen M. "Reinforcement Learning and Feedback Control for High-Level Upper-Extremity Neuroprostheses." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1395789620.
Full textMartin, Tiffani L. Vaidya Manish. "Does stimulus complexity affect acquisition of conditional discriminations and the emergence of derived relations?" [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12160.
Full textBrackney, Ryan. "Interactions of equivalence and other behavioral relations: Simple successive discrimination training." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12087/.
Full textSeymour, Kail H. "The Effects of Reinforcing Operant Variability on Task Acquisition." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3273/.
Full textGrechus, Marilyn L. "The comparison of individualized computer game reinforcement versus peer-interactive board game reiniforcement on nutrition label knowledge retention of fifth graders /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841145.
Full textMcCary, Donald. "The Effects of Shaping and Instruction-based Procedures on Behavioral Variability during Acquisition and Extinction." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2244/.
Full textCline, Tammy Lynn. "Effects of Training Accurate Component Strokes Using Response Constraint and Self-evaluation on Whole Letter Writing." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5472/.
Full textKyle, Robert. "Models and metaphors in neuroscience : the role of dopamine in reinforcement learning as a case study." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6263.
Full textMacKendrick, Alex. "Interleaved Effects in Inductive Category Learning: The Role of Memory Retention." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5846.
Full textRahmouni, Sohir. "Adaptation saccadique : un modèle d’apprentissage opérant et ses contraintes biologiques." Thesis, Lille 3, 2019. http://www.theses.fr/2019LIL3H070.
Full textHow do organisms adapt their motor behaviors to environmental variations? This thesis attempts to answer this question within the framework of operant conditioning applied to a form of motor learning called saccadic adaptation. We postulate that the vision of a target is the functional reinforcer that leads to the adaptation of the saccade amplitudes. In the first study of this thesis we measured the saccade adaptation in a large number of participants. The results reveal the high reproducibility of this learning. However, we also report strong inter-individual differences that do not appear to be correlated to the individual characteristics of the saccadic system, and may reflect more general differences in sensitivity to reinforcement contingencies.To explore the effect of the reinforcement on the amplitude of the saccades we have constructed a paradigm to dissociate the role of reinforcement from the role of the position error signal. The second study of this thesis reveals that having the ability to perform a visual discrimination task contingent on the saccades amplitudes can effectively induce modifications of the saccadic gain, which supports the hypothesis of the operant nature of saccadic adaptation. The analysis of the motor changes also suggests that there are strong biological constraints for this learning. In a third study, we further explore other biological constraints by focusing on the conditions for discriminative control for saccadic adaptation. We show that the shape and colour of the target can serve as a discriminative stimulus to evoke different states of adaptation. By taking into account the biological dimension of the behavior and making these stimuli relevant by adding a distractor, we forced the target selection and increased the relevance of the characteristic used for discriminative control. Overall, these results support the hypothesis that saccades are operant behaviors. They also reveal the specific nature of the constraints applying to learning and underline the importance of matching the reinforcement contingencies to the behavioral system under consideration
Rayburn-Reeves, Rebecca Marie. "AN ANALYSIS OF BEHAVIORAL FLEXIBILITY AND CUE PREFERENCE IN PIGEONS UNDER VARIABLE REVERSAL LEARNING CONDITIONS." UKnowledge, 2011. http://uknowledge.uky.edu/psychology_etds/1.
Full textMichniewicz, Leslie (Leslie A. ). "The Role of a Point Loss Contingency on the Emergence of Derived Relations in the Absence of Original Relations." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc279016/.
Full textStanley, Kelly N. "The influence of training structure and instructions on generalized stimulus equivalence classes and typicality effects /." Electronic version (PDF), 2004. http://dl.uncw.edu/etd/2004/stanleyk/kellystanley.html.
Full textO'Brien, Karen M. Murrell Amy Rebekah Epstein. "An exploration of the relationship between worry and other verbal phenomena." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-6069.
Full textJones, Aaron A. "Conditional Discrimination and Stimulus Equivalence: Effects of Suppressing Derived Symmetrical Responses on the Emergence of Transitivity." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3658/.
Full textGong, Mingliang. "Orientation discrimination in periphery: Surround suppression or crowding?" Miami University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=miami1430433449.
Full textMadrigal-Bauguss, Jessica. "Transfer of "good" and "bad" functions within stimulus equivalence classes." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc6080/.
Full textHolder, Jared M. "Learned Attention in Younger and Older Adults." TopSCHOLAR®, 2010. http://digitalcommons.wku.edu/theses/223.
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