Results for 'decision process'

978 found
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  1.  4
    Regular decision processes.Ronen I. Brafman & Giuseppe De Giacomo - 2024 - Artificial Intelligence 331 (C):104113.
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  2.  26
    Decision processes in perception.John A. Swets, Wilson P. Tanner & Theodore G. Birdsall - 1961 - Psychological Review 68 (5):301--40.
  3.  13
    Decision processes in memory.Harley A. Bernbach - 1967 - Psychological Review 74 (6):462-480.
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  4. Decision processes.Robert McDowell Thrall - 1954 - New York,: Wiley.
  5.  30
    Group decision process support system for regional planning—A perspective from Japan.Masao Hijikata - 1995 - AI and Society 9 (2-3):244-257.
    Regional planning has been regarded as a design activity. Usually planners focus on physical design rather than on societal issues. Nowadays, mass communication, environmental issues and social awareness lead to often complex and conflicting needs and interests of the public in regional planning. This paper focuses on the regional planning as a group problem solving process from the view of information processing. It offers an analysis of the causes of conflicts in the group decision process, and defines (...)
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  6.  7
    Titrating decision processes in the mental rotation task.Alexander Provost & Andrew Heathcote - 2015 - Psychological Review 122 (4):735-754.
  7. Decision processes in organizations.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 17-43.
    In this chapter, it is demonstrated that the concepts of leadership and organization are closely linked. A leader should initially get to know the organizational culture as well as possible. Such a culture can for example be authoritarian and conformist or innovative and progressive in nature. The assumption is that leaders are influenced by their own culture. Strategic decisions are characterized by the fact that they are new, complex and open in nature, and being able to develop a strategy is (...)
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  8.  53
    The Ethical Dimensions of Decision Processes of Employees.Irene Roozen, Patrick De Pelsmacker & Frank Bostyn - 2001 - Journal of Business Ethics 33 (2):87 - 99.
    The influence of stakeholders, organisational commitment, personal values, goals of the organisation and socio-demographic characteristics of individuals on the ethical dimension of behavioural intentions of employees in various organisations are investigated. The research results show that employees working for the public sector or in educational institutions take more ethical aspects into account than employees working in the "private" sector. The influence of stakeholders and organisational commitment do not significantly affect the ethical behaviour of employees, and only some personal values and (...)
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  9.  19
    Decision processing in memory: Factors influencing the storage and retrieval of linguistic and form identification.Steven Schwartz & Kirk D. Witherspoon - 1974 - Bulletin of the Psychonomic Society 4 (2):127-129.
  10. Decision processes in retrieval from memory.A. W. Melton - 1967 - In Benjamin Kleinmuntz (ed.), Concepts and the Structure of Memory. Wiley. pp. 215--225.
     
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  11.  13
    A Decision Process for 3‐Valued Sheffer Functions I.J. C. Muzio - 1970 - Mathematical Logic Quarterly 16 (4):271-280.
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  12.  10
    A Decision Process for 3‐Valued Sheffer Functions II.J. C. Muzio - 1971 - Mathematical Logic Quarterly 17 (1):97-114.
  13.  21
    A Decision Process for 3‐Valued Sheffer Functions II.J. C. Muzio - 1971 - Mathematical Logic Quarterly 17 (1):97-114.
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  14.  8
    Sensory and decision processes in anchor effects and aftereffects.D. McNicol & C. W. Pennington - 1973 - Journal of Experimental Psychology 100 (2):232.
  15.  11
    The Problem(s) with Representing Decision Processes under Uncertainty.Gilbert Skillman & Roberto Veneziani - 2023 - Journal of Post Keynesian Economics 46 (3):420-439.
    Underscoring the economic significance of the Knightian distinction between risk and uncertainty, Don Katzner forcefully challenges the continued dominance of the expected utility model based on subjective probability in macroeconomic analysis and offers in its place a simple yet elegant model of decision making inspired by the pioneering work of G.L.S. Shackle. In doing so, Katzner lends support to a research program to identify a more coherent and empirically grounded theory of decision making under uncertainty. Our paper makes (...)
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  16.  10
    Examining the Decision Process of Students' Cheating Behavior: An Empirical Study.Richard Bernardi, Rene Metzger, Ryann Scofield Bruno, Marisa Wade Hoogkamp, Lillian Reyes & Gary Barnaby - 2004 - Journal of Business Ethics 50 (4):397-414.
    This research examines the association between attitudes on cheating and cognitive moral development. In this research, we use Rest's (1979a) Defining Issues Test, the Attitudes on Honesty Scale (Authors) and Academic Integrity Index (Authors); the last two are adaptations of the DIT. A total of 220 students from three universities participated in the study (66 psychology majors and 154 business majors). The data indicate that 66.4 percent of the students reported that they cheated in high school, college, or both high (...)
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  17.  17
    Observing responses and decision processes in vigilance.Michael J. Guralnick - 1972 - Journal of Experimental Psychology 93 (2):239.
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  18.  14
    Naming and decision processes in short-term recognition memory.Kim Kirsner & Fergus I. Craik - 1971 - Journal of Experimental Psychology 88 (2):149.
  19.  5
    Bounded-parameter Markov decision processes.Robert Givan, Sonia Leach & Thomas Dean - 2000 - Artificial Intelligence 122 (1-2):71-109.
  20. Structuring the decision process.Marcus Selart - 2010 - In A Leadership Perspective on Decision Making. Cappelen Academic Publishers. pp. 97-120.
    This chapter includes a discussion of leadership decisions and stress. Many leaders are daily exposed to stress when they must make decisions, and there are often social reasons for this. Social standards suggest that a leader must be proactive and make decisions and not flee the situation. Conflict often creates stress in decision-making situations. It is important for leaders to understand that it is not stress in itself that leads to bad decisions, rather, bad decisions may be the result (...)
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  21.  17
    Scanning and decision processes in recognition memory.Michael C. Corballis & Avrum Miller - 1973 - Journal of Experimental Psychology 98 (2):379.
  22.  9
    Partially observable Markov decision processes with imprecise parameters.Hideaki Itoh & Kiyohiko Nakamura - 2007 - Artificial Intelligence 171 (8-9):453-490.
  23.  47
    Aspects of Arranged Marriages and the Theory of Markov Decision Processes.Amitrajeet A. Batabyal - 1998 - Theory and Decision 45 (3):241-253.
    The theory of Markov decision processes (MDP) can be used to analyze a wide variety of stopping time problems in economics. In this paper, the nature of such problems is discussed and then the underlying theory is applied to the question of arranged marriages. We construct a stylized model of arranged marriages and, inter alia, it is shown that a decision maker's optimal policy depends only on the nature of the current marriage proposal, independent of whether there is (...)
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  24.  14
    Three steps multiobjective decision process for software release planning.Isabel M. Del Águila & José Del Sagrado - 2016 - Complexity 21 (S1):250-262.
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  25.  30
    Stimulus encoding and decision processes in recognition memory.James F. Juola, Glen A. Taylor & Michael E. Young - 1974 - Journal of Experimental Psychology 102 (6):1108.
  26.  17
    Consumer judgment and decision processes.Frank R. Kardes - 1994 - In R. Wyer & T. Srull (eds.), Handbook of Social Cognition. Lawrence Erlbaum. pp. 2--399.
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  27.  42
    A unified framework for addiction: Vulnerabilities in the decision process.Adam Johnson A. David Redish, Steve Jensen - 2008 - Behavioral and Brain Sciences 31 (4):415.
    The understanding of decision-making systems has come together in recent years to form a unified theory of decision-making in the mammalian brain as arising from multiple, interacting systems (a planning system, a habit system, and a situation-recognition system). This unified decision-making system has multiple potential access points through which it can be driven to make maladaptive choices, particularly choices that entail seeking of certain drugs or behaviors. We identify 10 key vulnerabilities in the system: (1) moving away (...)
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  28.  4
    Modeling evidence accumulation decision processes using integral equations: Urgency-gating and collapsing boundaries.Philip L. Smith & Roger Ratcliff - 2022 - Psychological Review 129 (2):235-267.
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  29.  96
    Power Difference and Risk Perception: Mapping Vulnerability within the Decision Process of Pregnant Women towards Clinical Trial Participation in an Urban Middle‐Income Setting.C. den Hollander Geerte, lBrowne Joyce, Arhinful Daniel, Graaf Rieke & Klipstein-Grobusch Kerstin - 2016 - Developing World Bioethics:68-75.
    To address the burden of maternal morbidity and mortality in low‐ and middle‐income countries (LMICs), research with pregnant women in these settings is increasingly common. Pregnant women in LMIC‐context may experience vulnerability related to giving consent to participate in a clinical trial. To recognize possible layers of vulnerability this study aims to identify factors that influence the decision process towards clinical trial participation of pregnant women in an urban middle‐income setting. This qualitative research used participant observation, in‐depth interviews, (...)
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  30. Examining the decision process of students' cheating behavior: An empirical study. [REVIEW]Richard A. Bernardi, Rene L. Metzger, Ryann G. Scofield Bruno, Marisa A. Wade Hoogkamp, Lillian E. Reyes & Gary H. Barnaby - 2004 - Journal of Business Ethics 50 (4):397-414.
    This research examines the association between attitudes on cheating and cognitive moral development. In this research, we use Rest's (1979a) Defining Issues Test, the Attitudes on Honesty Scale (Authors) and Academic Integrity Index (Authors); the last two are adaptations of the DIT. A total of 220 students from three universities participated in the study (66 psychology majors and 154 business majors). The data indicate that 66.4 percent of the students reported that they cheated in high school, college, or both high (...)
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  31.  26
    Organizational influence in a model of the moral decision process of accountants.Scott K. Jones & Kenneth M. Hiltebeitel - 1995 - Journal of Business Ethics 14 (6):417 - 431.
    This paper reports on a survey that investigated the moral decision processes of accountants. A formal belief revision model is adapted and hypotheses based on theorizations from the cognitive-developmental school are tested. The moral decision processes of accountants are hypothesized to be influenced by professional expectations, organizational expectations and internalized expectations. Subjects provided specific demographic data and were asked to access the appropriateness of fourteen principles for making moral decisions in business. Subjects were also asked to indicate which (...)
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  32.  84
    A unified framework for addiction: Vulnerabilities in the decision process.A. David Redish, Steve Jensen & Adam Johnson - 2008 - Behavioral and Brain Sciences 31 (4):415-437.
    The understanding of decision-making systems has come together in recent years to form a unified theory of decision-making in the mammalian brain as arising from multiple, interacting systems (a planning system, a habit system, and a situation-recognition system). This unified decision-making system has multiple potential access points through which it can be driven to make maladaptive choices, particularly choices that entail seeking of certain drugs or behaviors. We identify 10 key vulnerabilities in the system: (1) moving away (...)
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  33.  44
    The rationality of different kinds of intuitive decision processes.Marc Jekel, Andreas Glöckner, Susann Fiedler & Arndt Bröder - 2012 - Synthese 189 (S1):147-160.
    Whereas classic work in judgment and decision making has focused on the deviation of intuition from rationality, more recent research has focused on the performance of intuition in real-world environments. Borrowing from both approaches, we investigate to which extent competing models of intuitive probabilistic decision making overlap with choices according to the axioms of probability theory and how accurate those models can be expected to perform in real-world environments. Specifically, we assessed to which extent heuristics, models implementing weighted (...)
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  34. Applications of quantum statistics in psychological studies of decision processes.Diedrik Aerts & Sven Aerts - 1995 - Foundations of Science 1 (1):85-97.
    We present a new approach to the old problem of how to incorporate the role of the observer in statistics. We show classical probability theory to be inadequate for this task and take refuge in the epsilon-model, which is the only model known to us caapble of handling situations between quantum and classical statistics. An example is worked out and some problems are discussed as to the new viewpoint that emanates from our approach.
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  35. Open Parallel Cooperative and Competitive Decision Processes: A Potential Provenance for Quantum Probability Decision Models.Ian G. Fuss & Daniel J. Navarro - 2013 - Topics in Cognitive Science 5 (4):818-843.
    In recent years quantum probability models have been used to explain many aspects of human decision making, and as such quantum models have been considered a viable alternative to Bayesian models based on classical probability. One criticism that is often leveled at both kinds of models is that they lack a clear interpretation in terms of psychological mechanisms. In this paper we discuss the mechanistic underpinnings of a quantum walk model of human decision making and response time. The (...)
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  36.  35
    The Bayesian reader: Explaining word recognition as an optimal Bayesian decision process.Dennis Norris - 2006 - Psychological Review 113 (2):327-357.
  37.  14
    “The Gaze Heuristic:” Biography of an Adaptively Rational Decision Process.Robert P. Hamlin - 2017 - Topics in Cognitive Science 9 (2):264-288.
    This article is a case study that describes the natural and human history of the gaze heuristic. The gaze heuristic is an interception heuristic that utilizes a single input repeatedly as a task is performed. Its architecture, advantages, and limitations are described in detail. A history of the gaze heuristic is then presented. In natural history, the gaze heuristic is the only known technique used by predators to intercept prey. In human history the gaze heuristic was discovered accidentally by Royal (...)
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  38.  23
    Institutionalizing Ethical Innovation in Organizations: An Integrated Causal Model of Moral Innovation Decision Processes.E. Günter Schumacher & David M. Wasieleski - 2013 - Journal of Business Ethics 113 (1):15-37.
    This article answers several calls—coming as well from corporate governance practitioners as from corporate governance researchers—concerning the possibility of complying simultaneously with requirements of innovation and ethics. Revealing the long-term orientation as the variable which permits us to link the principal goal of organization, being “survival,” with innovation and ethic, the article devises a framework for incorporating ethics into a company’s processes and strategies for innovation. With the principal goal of organizations being “survival” in the long-term, it is assumed that (...)
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  39.  25
    A Neural Network Model for Attribute‐Based Decision Processes.Marius Usher & Dan Zakay - 1993 - Cognitive Science 17 (3):349-396.
    We propose a neural model of multiattribute-decision processes, based on an attractor neural network with dynamic thresholds. The model may be viewed as a generalization of the elimination by aspects model, whereby simultaneous selection of several aspects is allowed. Depending on the amount of synaptic inhibition, various kinds of scanning strategies may be performed, leading in some cases to vacillations among the alternatives. The model predicts that decisions of a longer time duration exhibit a lower violation of the simple (...)
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  40.  24
    Addiction as vulnerabilities in the decision process.A. David Redish, Steve Jensen & Adam Johnson - 2008 - Behavioral and Brain Sciences 31 (4):461-487.
    In our target article, we proposed that addiction could be envisioned as misperformance of a decision-making machinery described by two systems (deliberative and habit systems). Several commentators have argued that Pavlovian learning also produces actions. We agree and note that Pavlovian action-selection will provide several additional vulnerabilities. Several commentators have suggested that addiction arises from sociological parameters. We note in our response how sociological effects can change decision-making variables to provide additional vulnerabilities. Commentators generally have agreed that our (...)
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  41.  67
    Foundations of procedural rationality: Cognitive limits and decision processes.Frederic Laville - 2000 - Economics and Philosophy 16 (1):117-138.
    Many criticisms have been made of optimization theory (Laville, 1999a). These objections may be explained by the fact that human rationality is bounded – that decisions are constrained by cognitive limitations (Simon, 1982). In the present paper, I will show that if rationality is bounded, then we must study the processes of decision. My thesis is that cognitive limitations lead to procedural rationality. Although this assertion has already been sustained implicitly by Simon (1959) and explicitly by Mongin (1986), it (...)
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  42.  27
    Bounded rationality: a realistic approach to the decision process in a social environment.José Manuel Robles - 2007 - Theoria 16 (1):41-48.
  43.  4
    Reinforcement learning of non-Markov decision processes.Steven D. Whitehead & Long-Ji Lin - 1995 - Artificial Intelligence 73 (1-2):271-306.
  44.  16
    Are addictions “biases and errors” in the rational decision process?Elias L. Khalil - 2008 - Behavioral and Brain Sciences 31 (4):449-450.
    Redish et al. view addictions as errors arising from the weak access points of the system of decision-making. They do not analytically distinguish between addictions, on the one hand, and errors highlighted by behavioural decision theory, such as over-confidence, representativeness heuristics, conjunction fallacy, and so on, on the other. Redish et al.'s decision-making framework may not be comprehensive enough to capture addictions.
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  45.  75
    Differences in the perceptions of moral intensity in the moral decision process: An empirical examination of accounting students. [REVIEW]Deborah L. Leitsch - 2004 - Journal of Business Ethics 53 (3):313-323.
    The purpose of this study was to gain a better understanding of the impact of moral issues on the moral decision-making process within the field of accounting. In particular, the study examined differences in the perceptions of the underlying characteristics of moral issues on the specific steps of the moral decision-making process of four different accounting situations.The research results suggested that student's perception of the components of moral intensity as well as the various stages of the (...)
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  46.  4
    “The Gaze Heuristic:” Biography of an Adaptively Rational Decision Process.Robert P. Hamlin - forthcoming - Cognitive Science.
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  47.  9
    Affect control processes: Intelligent affective interaction using a partially observable Markov decision process.Jesse Hoey, Tobias Schröder & Areej Alhothali - 2016 - Artificial Intelligence 230 (C):134-172.
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  48.  13
    Real-time dynamic programming for Markov decision processes with imprecise probabilities.Karina V. Delgado, Leliane N. de Barros, Daniel B. Dias & Scott Sanner - 2016 - Artificial Intelligence 230 (C):192-223.
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  49. Reachability analysis of uncertain systems using bounded-parameter Markov decision processes.Xenofon di WuKoutsoukos - 2008 - Artificial Intelligence 172 (8-9):945-954.
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  50.  16
    Guest Editors’ Introduction: Organisation and Decision Processes.Leonard Minkes & Tony Gear - 2004 - Philosophy of Management 4 (1):1-2.
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