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Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
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Autonomous Motivation, Controlled Motivation, and Goal Progress
Journal of Personality, 2008ABSTRACT Although the self‐concordance of goals has been repeatedly shown to predict better goal progress, recent research suggests potential problems with aggregating autonomous and controlled motivations to form a summary index of self‐concordance (Judge, Bono, Erez, & Locke, 2005).
Richard, Koestner +4 more
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Motivated learning in autonomous systems
The 2011 International Joint Conference on Neural Networks, 2011Motivated learning (ML) is a new biologically inspired machine learning method. It is the combination of a reinforcement learning (RL) algorithm and a system that creates hierarchy of goals. The goal creation system is concerned with creating new internal goals, building a hierarchy of them, and controlling the agent's behavior according to this ...
Pawel Raif, Janusz A. Starzyk
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Autonomy support for autonomous motivation in medical education [PDF]
Medical students often study only to fare well in their examinations or pursue a specific specialty, or study only those topics that they perceive to be useful in medical practice. The motivation for study in these cases comes from external or internal pressures or from the desire to obtain rewards.
Rashmi Kusurkar, Gerda Croiset
exaly +4 more sources
Neuroevolutionary Motivational Engine for Autonomous Robots
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016In this paper we present a motivational engine based on neuroevolution that permits a robot to autonomously obtain the appropriate value functions for its interaction with an environment. This motivational engine permits the combination of exploratory and exploitative drives through a certainty based approach. It allows for the exploration of the state
Rodrigo Salgado +4 more
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Autonomy Support and Autonomous Motivation
2023Abstract In this chapter, autonomy support and autonomous motivation are conceptualized as common factors influencing process and outcome in diverse psychotherapies for a broad range of disorders. Points of convergence with the well-documented common factors of the therapeutic alliance and the Rogerian conditions are identified, as well ...
David C. Zuroff, Richard Koestner
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Needs, Pains, and Motivations in Autonomous Agents
IEEE Transactions on Neural Networks and Learning Systems, 2017This paper presents the development of a motivated learning (ML) agent with symbolic I/O. Our earlier work on the ML agent was enhanced, giving it autonomy for interaction with other agents. Specifically, we equipped the agent with drives and pains that establish its motivations to learn how to respond to desired and undesired events and create related
Janusz A. Starzyk +2 more
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Psychology of Sport and Exercise, 2020
ObjectivesThe aim of this study was to test whether achievement motive, autonomous forms of exercise motivation (intrinsic motivation, identified regulation), and controlled forms of exercise motivation (introjected regulation, external regulation) would predict gym attendance over 30 consecutive weeks in a sample of new gym members.DesignA ...
Philipp M. Kopp +3 more
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ObjectivesThe aim of this study was to test whether achievement motive, autonomous forms of exercise motivation (intrinsic motivation, identified regulation), and controlled forms of exercise motivation (introjected regulation, external regulation) would predict gym attendance over 30 consecutive weeks in a sample of new gym members.DesignA ...
Philipp M. Kopp +3 more
openaire +2 more sources

