Results for ' reinforcement'

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  1. The Self-Reinforcing Nature of Joint Action.Facundo M. Alonso - forthcoming - Philosophical Studies.
    Shared intention normally leads to joint action. It does this, it is commonly said, only because it is a characteristically stable phenomenon, a phenomenon that tends to persist from the time it is formed until the time it is fulfilled. However, the issue of what the stability of shared intention comes down to remains largely undertheorized. My aim in this paper is to remedy this shortcoming. I argue that shared intention is a source of moral and epistemic reasons, that responsiveness (...)
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  2.  32
    Reinforcement learning and artificial agency.Patrick Butlin - 2024 - Mind and Language 39 (1):22-38.
    There is an apparent connection between reinforcement learning and agency. Artificial entities controlled by reinforcement learning algorithms are standardly referred to as agents, and the mainstream view in the psychology and neuroscience of agency is that humans and other animals are reinforcement learners. This article examines this connection, focusing on artificial reinforcement learning systems and assuming that there are various forms of agency. Artificial reinforcement learning systems satisfy plausible conditions for minimal agency, and those which (...)
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  3. Reinforcement in the information revolution.Phillip M. Baker - 2022 - In Michael J. Paulus & Michael D. Langford (eds.), AI, faith, and the future: an interdisciplinary approach. Eugene, Oregon: Pickwick Publications.
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  4.  43
    Reinforcement, expectancy, and learning.Robert C. Bolles - 1972 - Psychological Review 79 (5):394-409.
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  5. Reinforcing the knowledge account of assertion.Martijn Blaauw - 2012 - Analysis 72 (1):105-108.
    Many philosophers are building a solid case in favour of the knowledge account of assertion (KAA). According to KAA, if one asserts that P one represents oneself as knowing that P. KAA has recently received support from linguistic data about prompting challenges, parenthetical positioning and predictions. In this article, I add another argument to this rapidly growing list: an argument from what I will call ‘reinforcing parenthesis’.
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  6.  35
    Secondary reinforcement in rats as a function of information value and reliability of the stimulus.M. David Egger & Neal E. Miller - 1962 - Journal of Experimental Psychology 64 (2):97.
  7.  40
    Reinforcement Learning and Counterfactual Reasoning Explain Adaptive Behavior in a Changing Environment.Yunfeng Zhang, Jaehyon Paik & Peter Pirolli - 2015 - Topics in Cognitive Science 7 (2):368-381.
    Animals routinely adapt to changes in the environment in order to survive. Though reinforcement learning may play a role in such adaptation, it is not clear that it is the only mechanism involved, as it is not well suited to producing rapid, relatively immediate changes in strategies in response to environmental changes. This research proposes that counterfactual reasoning might be an additional mechanism that facilitates change detection. An experiment is conducted in which a task state changes over time and (...)
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  8. Reinforcement learning: A brief guide for philosophers of mind.Julia Haas - 2022 - Philosophy Compass 17 (9):e12865.
    I argue for the role of reinforcement learning in the philosophy of mind. To start, I make several assumptions about the nature of reinforcement learning and its instantiation in minds like ours. I then review some of the contributions of reinforcement learning methods have made across the so-called 'decision sciences.' Finally, I show how principles from reinforcement learning can shape philosophical debates regarding the nature of perception and characterisations of desire.
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  9.  16
    A reinforcement model of imprinting: Implications for socialization in monkeys and men.Howard S. Hoffman & Alan M. Ratner - 1973 - Psychological Review 80 (6):527-544.
  10. Self‐Reinforcing and Self‐Frustrating Decisions.Caspar Hare & Brian Hedden - 2015 - Noûs 50 (3):604-628.
  11.  12
    Conditioned reinforcement strength in rats as a function of CRF scheduling.Donald F. McCausland & John C. Birkmer - 1970 - Journal of Experimental Psychology 83 (1p1):177.
  12.  41
    Reinforcement learning: A brief guide for philosophers of mind.Julia Haas - 2022 - Philosophy Compass 17 (9):e12865.
    In this opinionated review, I draw attention to some of the contributions reinforcement learning can make to questions in the philosophy of mind. In particular, I highlight reinforcement learning's foundational emphasis on the role of reward in agent learning, and canvass two ways in which the framework may advance our understanding of perception and motivation.
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  13.  19
    Stimulus-reinforcer predictiveness and selective discrimination learning in pigeons.Edward A. Wasserman - 1974 - Journal of Experimental Psychology 103 (2):284.
  14.  16
    Partial reinforcement: A hypothesis of sequential effects.E. J. Capaldi - 1966 - Psychological Review 73 (5):459-477.
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  15.  7
    Relative reinforcement effects: S1/S2 and S1/S1 paradigms in instrumental conditioning.James H. McHose - 1970 - Psychological Review 77 (2):135-146.
  16.  96
    Reinforcing ethical decision making through corporate culture.Al Y. S. Chen, Roby B. Sawyers & Paul F. Williams - 1997 - Journal of Business Ethics 16 (8):855-865.
    Behaving ethically depends on the ability to recognize that ethical issues exist, to see from an ethical point of view. This ability to see and respond ethically may be related more to attributes of corporate culture than to attributes of individual employees. Efforts to increase ethical standards and decrease pressure to behave unethically should therefore concentrate on the organization and its culture. The purpose of this paper is to discuss how total quality (TQ) techniques can facilitate the development of a (...)
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  17.  7
    Reinforcement Learning for Production‐Based Cognitive Models.Adrian Brasoveanu & Jakub Dotlačil - 2021 - Topics in Cognitive Science 13 (3):467-487.
    We investigate how Reinforcement Learning methods can be used to solve the production selection and production ordering problem in ACT‐R. We focus on four algorithms from the Q learning family, tabular Q and three versions of Deep Q Networks, as well as the ACT‐R utility learning algorithm, which provides a baseline for the Q algorithms. We compare the performance of these five algorithms in a range of lexical decision tasks framed as sequential decision problems.
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  18.  9
    Conditioned reinforcement and reproductive success.Edmund Fantino - 1988 - Behavioral and Brain Sciences 11 (1):135-135.
  19.  15
    The reinforcement relation as a function of instrumental response base rate.Robert W. Schaeffer - 1965 - Journal of Experimental Psychology 69 (4):419.
  20.  62
    Reinforcing ethical decision making through organizational structure.Harvey S. James - 2000 - Journal of Business Ethics 28 (1):43 - 58.
    In this paper I examine how the constituent elements of a firm's organizational structure affect the ethical behavior of workers. The formal features of organizations I examine are the compensation practices, performance and evaluation systems, and decision-making assignments. I argue that the formal organizational structure, which is distinguished from corporate culture, is necessary, though not sufficient, in solving ethical problems within firms. At best the formal structure should not undermine the ethical actions of workers. When combined with a strong culture, (...)
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  21.  19
    Can reinforcement theory account for avoidance?Benbow F. Ritchie - 1951 - Psychological Review 58 (5):382-386.
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  22.  38
    Reconciling reinforcement learning models with behavioral extinction and renewal: Implications for addiction, relapse, and problem gambling.A. David Redish, Steve Jensen, Adam Johnson & Zeb Kurth-Nelson - 2007 - Psychological Review 114 (3):784-805.
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  23.  33
    Positive reinforcement and suppression of spontaneous GSR activity.Jerry R. May & Harold J. Johnson - 1969 - Journal of Experimental Psychology 80 (1):193.
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  24.  17
    Reinforcement of verbal behavior.Douglas M. McNair - 1957 - Journal of Experimental Psychology 53 (1):40.
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  25.  8
    Reinforcement, explanation, and B. F. Skinner.Robert Epstein - 1978 - Behavioral and Brain Sciences 1 (1):57-58.
  26.  16
    Reinforcement, extinction, and spontaneous recovery in a non-Pavlovian reaction.Richard E. P. Youtz - 1938 - Journal of Experimental Psychology 22 (4):305.
  27.  14
    Secondary reinforcement based on stimulus-change primary reinforcement.Carl L. Roberts, Kenneth E. Lebow & Robert M. Yoder - 1961 - Journal of Experimental Psychology 61 (4):339.
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  28.  12
    Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions.Seul-Gi Choi & Sung-Bae Cho - 2020 - Logic Journal of the IGPL 28 (4):449-460.
    Relational database management system is the most popular database system. It is important to maintain data security from information leakage and data corruption. RDBMS can be attacked by an outsider or an insider. It is difficult to detect an insider attack because its patterns are constantly changing and evolving. In this paper, we propose an adaptive database intrusion detection system that can be resistant to potential insider misuse using evolutionary reinforcement learning, which combines reinforcement learning and evolutionary learning. (...)
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  29.  18
    Reinforcers and reinforcement: Their relation to maze performance.William Bevan & Robert Adamson - 1960 - Journal of Experimental Psychology 59 (4):226.
  30.  3
    Secondary reinforcement and shock termination.Robert A. Kinsman & V. Edwin Bixenstine - 1968 - Journal of Experimental Psychology 76 (1p1):62.
  31.  5
    Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs.Yu Zhao, Jifeng Guo, Chengchao Bai & Hongxing Zheng - 2021 - Complexity 2021:1-12.
    A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. Furthermore, a self-learning framework is established by using the actor-critic model, which is proposed to train collision avoidance decision-making neural networks. To achieve (...)
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  32.  19
    From reinforcement of acts to reinforcement of social preferences.Daniel John Zizzo - 2002 - Behavioral and Brain Sciences 25 (2):282-283.
    Rachlin rightly highlights behavioural reinforcement, conditional cooperation, and framing. However, genes may explain part of the variance in altruistic behaviour. Framing cannot be used to support his theory of altruism. Reinforcement of acts is not identical to reinforcement of patterns of acts. Further, many patterns of acts could be reinforced, and Rachlin's altruism is not the most likely candidate.
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  33.  8
    Compensatory reinforcements of muscular tension subsequent to sleep loss.G. L. Freeman - 1932 - Journal of Experimental Psychology 15 (3):267.
  34.  10
    Reinforcing effect of self-reward.Gary T. Montgomery & David A. Parton - 1970 - Journal of Experimental Psychology 84 (2):273.
  35.  13
    Reinforcement and extinction as factors in size estimation.William W. Lambert, Richard L. Solomon & Peter D. Watson - 1949 - Journal of Experimental Psychology 39 (5):637.
  36.  13
    Reinforcement of leverholding by avoidance of shock.Hank Davis & Jo-Ann Burton - 1976 - Bulletin of the Psychonomic Society 8 (1):61-64.
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  37.  15
    Partial reinforcement effect, reverse partial reinforcement effect, and generalized partial reinforcement effect within subjects.Roger L. Mellgren & Dennis G. Dyck - 1972 - Journal of Experimental Psychology 92 (3):339.
  38.  15
    Partial-reinforcement extinction effect as a function of size of goal box.Dwight R. Kirkpatrick, William B. Pavlik & William F. Reynolds - 1964 - Journal of Experimental Psychology 68 (5):515.
  39.  16
    Secondary reinforcement effects as a function of method of testing.William F. Reynolds, Joyce E. Anderson & Norma F. Besch - 1963 - Journal of Experimental Psychology 66 (1):53.
  40.  8
    Vicarious reinforcement and limitation in a verbal learning situation.Robert E. Phillips - 1968 - Journal of Experimental Psychology 76 (4p1):669.
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  41.  62
    Observing and conditioned reinforcement.James A. Dinsmoor - 1983 - Behavioral and Brain Sciences 6 (4):693.
  42.  15
    Reinforcement or maximization?William Vaughan - 1981 - Behavioral and Brain Sciences 4 (3):405-405.
  43.  9
    Deep Reinforcement Learning for UAV Intelligent Mission Planning.Longfei Yue, Rennong Yang, Ying Zhang, Lixin Yu & Zhuangzhuang Wang - 2022 - Complexity 2022:1-13.
    Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning is proposed to solve the shortcomings of the traditional intelligent optimization algorithm, such as relying on simple, static, low-dimensional scenarios, and poor scalability. Specifically, the suppression of enemy air defense mission planning is described as a sequential decision-making problem and formalized as a Markov decision process. (...)
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  44.  6
    Reinforcing properties of the onset of auditory stimulation.Gerald W. Barnes & George B. Kish - 1961 - Journal of Experimental Psychology 62 (2):164.
  45.  16
    Error reinforcement in a modified serial perceptual-motor task.Melvin H. Marx & Robert A. Goldbeck - 1957 - Journal of Experimental Psychology 54 (4):288.
  46.  17
    Human reinforcement: Experimenter and subject controlled.Albert R. Marston & Frederick H. Kanfer - 1963 - Journal of Experimental Psychology 66 (1):91.
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  47.  22
    Differential reinforcement in verbal conditioning as a function of preference for the experimenter's voice.Gail Matthews & Theodore R. Dixon - 1968 - Journal of Experimental Psychology 76 (1p1):84.
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  48.  14
    Random reinforcement in concept identification.Tom Trabasso & Herman Staudenmayer - 1968 - Journal of Experimental Psychology 77 (3p1):447.
  49.  20
    Human reinforcement: Vicarious and direct.Frederick H. Kanfer & Albert R. Marston - 1963 - Journal of Experimental Psychology 65 (3):292.
  50.  21
    Vicarious reinforcement and model's behavior in verbal learning and imitation.Karen J. Kaplan - 1972 - Journal of Experimental Psychology 95 (2):448.
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