Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 51 for “"Action Selection"”.
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Online Action Selection Methods for Multi-Agent Navigation
… This dissertation proposes a set of online action selection methods that each agent uses to dynamically adapt its behavior to the local conditions. Specifically, we propose four approaches based on learning, planning, coordination and model inference to improve the global motions of a set of …
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Circuit Mechanisms of Context-dependent Memory-based Action Selection
… for all the information contributing to action selection including both learned and innate drives (Sokolov & Nezlina, 2008). As such, the influence of a CS on behaviour will depend on its learned value and the innate context. The circuits that allow learned value signals and innate …
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Build-a-dude : action selection networks for computational autonomous agents
Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1991.
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Executive Attention, Action Selection and Attention-Based Learning in Neurally Controlled Autonomous Agents
… to control both automatic (reactive) and willed action selection in a simulated robot. The model, based upon Norman and Shallice's supervisory attention system, incorporates important features of human attentional control: selection of an intended task over a more salient automatic task; priming …
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Neural Dynamics of Goal-Directed Action Selection: A Multivariate Approach to Evidence Accumulation and Cognitive Control in Response to Competing Stimuli
… integrate information about a stimulus to inform action-selection, and the capacity to resolve conflict in the presence of competing alternatives. I examine this over the course of three empirical studies incorporating behavioural measures, computational modelling, magneto- and …
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Practical neural dialogue management using pretrained language models
… such as language understanding, state tracking, action selection, and language generation. In this work, we explore the improvements in dialogue management using pretrained language models. We propose three models that incorporate pretrained language models, aiming to provide a practical approach …
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POLUS: A Self -Evolving Model-Based Approach for Automating the Observe -Analyze -Act Loop
… fashion; decision-making for the corrective action(s) to be invoked at run-time; handling divergent system behavior during action execution. POLUS is the first-of-a-kind in using a model-based approach for OAA automation; by applying the following operational principles. P OLUS addresses …
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Reinforcement learning in continuous state- and action-space
… the inability to store the values of all state-action pairs in a lookup table, due to both storage limitations and the inability to visit all states sufficiently often to learn the correct values. This can be overcome with the use of function approximation techniques with generalisation …
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It's about time : temporal representations for synthetic characters
… The resulting computational model of affect and action selection allows these creatures to discover and refine their understanding of apparent temporal causality relationships which may or may not involve self-action. The fundamental action selection choice that a creature must make in order to …
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Intelligence by design : principles of modularity and coordination for engineering complex adaptive agents
… the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dissertation describes an approach, …
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Genetic Dissection of Neural Circuits Underlying Value Based Decision Making
… that required repetition of the processes of action initiation, action selection, and learning. The task is a two-option choice task with stochastic reward delivery and reversals. To map brain areas involved in this type of value-based learning, we inactivated neuronal activity in the …
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Interactions Between Medical Prefrontal Cortex, Orbitofrontal Cortex and Motor Cortex in Value-based Decision Making
… related to animal’s choice, its outcome, and action value in orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC) of rats performing a dynamic two-armed bandit (TAB) task. And we also examined neuronal activity in the lateral (AGl) and medial (AGm) agranular cortex, corresponding to …
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Interactive Bayesian identification of kinematic mechanisms
… based on data gathered from a robot's interaction with them. We present a decision-theoretic formulation of this problem, using Bayesian filtering techniques to maintain a distributional estimate of the mechanism type and parameters. We begin by implementing a discrete Bayesian filter. We …
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A computational model of routine procedural memory
… The CSM is a hierarchically organized network of action schemas and goals. Botvinick and Plaut (2004) instead took a connectionist approach to modeling routine procedural behavior. They argued in favor of holistic, distributed representation of learned step co-occurrence associations. Two …
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Data Gathering in Cognitive Radio Ad Hoc and Sensor Wireless Networks
… The protocol consists of several distributed SU action selection and channel selection algorithms. An algorithm that can reduce the data gathering delay by selecting message forwarding SUs is also proposed. Finally, an algorithm that calculates an estimate of the successful data gathering ratio …
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Characterization of genetically distinct neuronal subtypes in the lateral habenula using Cre mouse lines
… is a bilateral brain structure implicated in action selection, reward processing, and motivation. The LHb projects to the ventral tegmental area (VTA) and dorsal raphe nucleus (DNR), and is thus involved in both dopaminergic and serotonergic pathways. Recent single-cell transcriptomic …
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Age-related changes in intrahemispherical interactions within motor areas of the brain
… intracortical inhibitory system during a motor reaction task in healthy subjects measured by TMS. Participants: Fifty-three subjects were recruited by advertising in public places in and around Leuven and were divided into two groups based on age. The first group of aged between 18-30 (n=25) and …
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When robots weep : a computational approach to affective learning
… perception, attention, motivation regulation, action selection, learning, and motor control-as part of the implementation of specialized solutions that take advantage of the regularities found in highly recurrent and prototypical environmental contingencies. We demonstrate this framework …
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