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  1. Drawing the Line: Rational Cognitive Therapy, Information, and Boundary Issues.William Angelette - manuscript
    It has been claimed that cognitive therapists endorse sets of uplifting beliefs BECAUSE the client feels better believing them: not because they lead towards greater verisimilitude, a purported cognitivists’ hallmark of rational choice. Since standard cognitive therapists sometimes ask us to choose sets of beliefs that interpret evidence on the basis of greater individual happiness (all other things being equal), this suggests that the basis of choice goes beyond rationality. I contend that the case against the rationality of cognitive therapy (...)
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  2. When Explanations "Cause" Error: A Look at Representations and Compressions.Michael Lissack - manuscript
    We depend upon explanation in order to “make sense” out of our world. And, making sense is all the more important when dealing with change. But, what happens if our explanations are wrong? This question is examined with respect to two types of explanatory model. Models based on labels and categories we shall refer to as “representations.” More complex models involving stories, multiple algorithms, rules of thumb, questions, ambiguity we shall refer to as “compressions.” Both compressions and representations are reductions. (...)
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  3. Representation in Cognitive Science: Content Without Function. [REVIEW]Robert D. Rupert - manuscript
  4. Unbelievable Similarities Between Georg Northoff's Ideas (Canada, 2011-2014) and Gabriel Vacariu's Ideas (2005-2008).Gabriel Vacariu - manuscript
    Many ideas from Georg Nortoff’s works (published one paper in 2010, mainly his book in 2011, other papers in 2012, 2103, 2014, especially those related to Kant’s philosophy and the notion of the “observer”, the mind-brain problem, default mode network, the self, the mental states and their “correspondence” to the brain) are surprisingly very similar to my ideas published in my article from 2002, 2005 and my book from 2008. In two papers from 2002 (also my paper from 2005 and (...)
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  5. Logical Characterisation of Possibilistic and Probabilistic Descriptions of Events in Description Logics.Farshad Badie - forthcoming - Bulletin of the Section of Logic.
    Description Logics (DLs) are a family of formal knowledge representation formalisms and the most well-known formalisms in semantics-based systems. The central focus of this research is on logical-terminological characterisation/analysis of possibilistic and probabilistic descriptions of events in DLs. Based on a logical characterisation of the concept of `being', this paper conceptualises events within DLs world descriptions. Accordingly, it deals with the concepts of `possibility of events' and `probability of events'. The main goal of this research is to investigate how possible (...)
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  6. Recommendation as Generalization: Using Big Data to Evaluate Cognitive Models.David D. Bourgin, Joshua T. Abbott & Thomas L. Griffiths - forthcoming - Journal of Experimental Psychology: General.
    The explosion of data generated during human interactions online presents an opportunity for psychologists to evaluate cognitive models outside the confines of the laboratory. Moreover, the size of these online data sets can allow researchers to construct far richer models than would be feasible with smaller in-lab behavioral data. In the current article, we illustrate this potential by evaluating 3 popular psychological models of generalization on 2 web-scale online data sets typically used to build automated recommendation systems. We show that (...)
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  7. Are Basic Actors Brainbound Agents? Narrowing Down Solutions to the Problem of Probabilistic Content for Predictive Perceivers.George Britten-Neish - forthcoming - Phenomenology and the Cognitive Sciences:1-25.
    Clark (2018) worries that predictive processing accounts of perception introduce a puzzling disconnect between the content of personal-level perceptual states and their underlying subpersonal representations. According to PP, in perception, the brain encodes information about the environment in conditional probability density distributions over causes of sensory input. But it seems perceptual experience only presents us with one way the world is at a time. If perception is at bottom probabilistic, shouldn’t this aspect of subpersonally represented content show up in consciousness? (...)
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  8. Advances in Austrian Economics.William Butos, Roger Koppl & Steve Horwitz (eds.) - forthcoming - Emerald.
  9. Possibilist Explanation: Explaining How-Possibly Through Laws.Gustavo A. Castañon - forthcoming - Erkenntnis:1-18.
    ‘Possibilist Explanation’ is a promising account of scientific explanation which avoids the familiar problems of “how-possibly explanations”. It explains an event by showing how-actually it was epistemically possible, instead of why it was epistemically necessary. Its explanandum is the epistemic possibility of an actual event previously considered epistemically impossible. To define PE, two new concepts are introduced: ‘permissive condition’ and ‘possibilist law’. A permissive condition for an event is something that does not entail the event itself, but a necessary condition (...)
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  10. Underlying Delusion: Predictive Processing, Looping Effects, and the Personal/Sub-Personal Distinction.Matteo Colombo & Regina E. Fabry - forthcoming - Philosophical Psychology:1-27.
    What is the relationship between the concepts of the predictive processing theory of brain functioning and the everyday concepts with which people conduct and explain their mental lives? To answer this question, we focus on predictive processing explanations of mental disorder that appeal to false inference. After distinguishing two concepts of false inference, we survey four ways of understanding the relationship between explanations of mental phenomena at the personal and sub-personal level. We then argue that if predictive processing accurately accounts (...)
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  11. Extending the Extended Consciousness Debate: Perception, Imagination, and the Common Kind Assumption.James Deery - forthcoming - Phenomenology and the Cognitive Sciences:1-19.
    For some, the states and processes involved in the realisation of phenomenal consciousness are not confined to within the organismic boundaries of the experiencing subject. Instead, the sub-personal basis of perceptual experience can, and does, extend beyond the brain and body to implicate environmental elements through one’s interaction with the world. These claims are met by proponents of predictive processing, who propose that perception and imagination should be understood as a product of the same internal mechanisms. On this view, as (...)
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  12. Explaining Experience In Nature: The Foundations Of Logic And Apprehension.Steven Ericsson-Zenith - forthcoming - Institute for Advanced Science & Engineering.
    At its core this book is concerned with logic and computation with respect to the mathematical characterization of sentient biophysical structure and its behavior. -/- Three related theories are presented: The first of these provides an explanation of how sentient individuals come to be in the world. The second describes how these individuals operate. And the third proposes a method for reasoning about the behavior of individuals in groups. -/- These theories are based upon a new explanation of experience in (...)
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  13. Introduction: Gestalt Phenomenology and Embodied Cognitive Science.Alistair M. C. Isaac & Dave Ward - forthcoming - Synthese:1-17.
    Several strands of contemporary cognitive science and its philosophy have emerged in recent decades that emphasize the role of action in cognition, resting their explanations on the embodiment of cognitive agents, and their embedding in richly structured environments. Despite their growing influence, many foundational questions remain unresolved or underexplored for this cluster of proposals, especially questions of how they can be extended beyond straightforwardly visuomotor cognitive capacities, and what constraints the commitment of embodiment places on the ontology of explanations. This (...)
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  14. Re-conceptualizing the role of stimuli: an enactive, ecological explanation of spontaneous-response tasks.Alan Jurgens - forthcoming - Phenomenology and the Cognitive Sciences:1-20.
    This paper addresses a challenge proposed against non-mindreading explanations of infant spontaneous-response task data. The challenge is a foundational assumption of mindreading explanations best summed up by Carruthers : 141-172, 2013, Consciousness and Cognition, 36: 498-507, 2015) claim that only by appealing to a theory of mind is it possible to explain infant responses in spontaneous-response false-belief tasks when there are no one-to-one correspondences between observable behavior and mental states. Heyes, 131–143, 2014a, Developmental Science, 17, 647–659. b) responds to this (...)
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  15. Phenomenology and Naturalism in Autopoietic and Radical Enactivism: Exploring Sense-Making and Continuity From the Top Down.Hayden Kee - forthcoming - Synthese:1-21.
    Radical and autopoietic enactivists disagree concerning how to understand the concept of sense-making in enactivist discourse and the extent of its distribution within the organic domain. I situate this debate within a broader conflict of commitments to naturalism on the part of radical enactivists, and to phenomenology on the part of autopoietic enactivists. I argue that autopoietic enactivists are in part responsible for the obscurity of the notion of sense-making by attributing it univocally to sentient and non-sentient beings and following (...)
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  16. Investigating Modes of Being in the World: An Introduction to Phenomenologically Grounded Qualitative Research.Allan Køster & Anthony Vincent Fernandez - forthcoming - Phenomenology and the Cognitive Sciences:1-21.
    In this article, we develop a new approach to integrating philosophical phenomenology with qualitative research. The approach uses phenomenology’s concepts, namely existentials, rather than methods such as the epoché or reductions. We here introduce the approach to both philosophers and qualitative researchers, as we believe that these studies are best conducted through interdisciplinary collaboration. In section 1, we review the debate over phenomenology’s role in qualitative research and argue that qualitative theorists have not taken full advantage of what philosophical phenomenology (...)
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  17. Why Pretense Poses a Problem for 4E Cognition.Peter Langland-Hassan - forthcoming - Phenomenology and the Cognitive Sciences:1-19.
    Whether a person is pretending, or not, is a function of their beliefs and intentions. This poses a challenge to 4E accounts of pretense, which typically seek to exclude such cognitive states from their explanations of psychological phenomena. Resulting tensions are explored within three recent accounts of imagination and pretense offered by theorists working in the 4E tradition. A path forward is then charted, through considering ways in which explanations can invoke beliefs and intentions while remaining true to 4E precepts. (...)
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  18. Rise of the Swamp Creatures: Reflections on a Mechanistic Approach to Content.Jonny Lee - forthcoming - Philosophical Psychology:1-24.
    Recent developments in the literature suggest cognitive representation can be conceived of as a kind of mechanism that meets the functional profile set out by the S-representation account. However, this approach is threatened by worries that the S-representation account cannot tell a satisfactory story about content determination at the subpersonal level. One solution is to complement the S-representation account with a traditional etiological theory of content determination. This paper argues such a move is unwarranted and threatens the broader project of (...)
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  19. Introduction to Philosophy of Science.Carlos Mariscal - forthcoming - In Benjamin D. Young & Carolyn Dicey Jennings (eds.), Mind, Cognition, and Neuroscience.
    This chapter will be a brief survey of the concepts from general philosophy of science for those interested in cognitive science. It covers several major topics in the philosophy of science: scientific explanation and underdetermination, reductionism and levels of nature, and scientific realism. We will discuss the goals of science, the methods of science, and the most plausible interpretations of science. To demonstrate the importance of these topics, the chapter includes cases in which confusion over these issues has led scientists (...)
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  20. Explaining Explanations in AI.Brent Mittelstadt - forthcoming - FAT* 2019 Proceedings 1.
    Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...)
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  21. Explanations in Cognitive Science: Unification Versus Pluralism.Marcin Miłkowski & Mateusz Hohol - forthcoming - Synthese:1-17.
    The debate between the defenders of explanatory unification and explanatory pluralism has been ongoing from the beginning of cognitive science and is one of the central themes of its philosophy. Does cognitive science need a grand unifying theory? Should explanatory pluralism be embraced instead? Or maybe local integrative efforts are needed? What are the advantages of explanatory unification as compared to the benefits of explanatory pluralism? These questions, among others, are addressed in this Synthese’s special issue. In the introductory paper, (...)
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  22. Cognitive and Computational Complexity: Considerations From Mathematical Problem Solving.Markus Pantsar - forthcoming - Erkenntnis:1-37.
    Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and thus engage in cognitive processes that (...)
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  23. Practical Concepts and Productive Reasoning.Carlotta Pavese - forthcoming - Synthese:1-30.
    Can we think of a task in a distinctively practical way? Can there be practical concepts? In recent years, epistemologists, philosophers of mind, as well as philosophers of psychology have appealed to practical concepts in characterizing the content of know-how or in explaining certain features of skillful action. However, reasons for positing practical concepts are rarely discussed in a systematic fashion. This paper advances a novel argument for the psychological reality of practical concepts that relies on evidence for a distinctively (...)
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  24. Mechanistic Explanation in Psychology.Mark Povich - forthcoming - In Hank Stam & Huib Looren De Jong (eds.), The SAGE Handbook of Theoretical Psychology. (Eds.) Hank Stam and Huib Looren de Jong. Sage.
    Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel and Abrahamsen (...)
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  25. Embodiment and Cognitive Neuroscience: The Forgotten Tales.Vicente Raja - forthcoming - Phenomenology and the Cognitive Sciences:1-21.
    In this paper, I suggest that some tales developed in the literature of embodied and radical embodied cognitive science can contribute to the solution of two longstanding issues in the cognitive neuroscience of perception and action. The two issues are the fundamental problem of perception, or how to bridge the gap between sensations and the environment, and the fundamental problem of motor control, or how to better characterize the relationship between brain activity and behavior. In both cases, I am going (...)
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  26. Enacting the aesthetic: A model for raw cognitive dynamics.Carlos Vara Sánchez - forthcoming - Phenomenology and the Cognitive Sciences:1-23.
    One challenge faced by aesthetics is the development of an account able to trace out the continuities and discontinuities between general experience and aesthetic experiences. Regarding this issue, in this paper, I present an enactive model of some raw cognitive dynamics that might drive the progressive emergence of aesthetic experiences from the stream of general experience. The framework is based on specific aspects of John Dewey’s pragmatist philosophy and embodied aesthetic theories, while also taking into account research in ecological psychology, (...)
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  27. Uncovering today’s rationalistic attunement.Paul Schuetze & Imke von Maur - forthcoming - Phenomenology and the Cognitive Sciences:1-22.
    In this paper, we explore a rationalistic orientation in Western society. We suggest that this orientation is one of the predominant ways in which Western society tends to frame, understand and deal with a majority of problems and questions – namely in terms of mathematical analysis, calculation and quantification, relying on logic, numbers, and statistics. Our main goal in this paper is to uncover the affective structure of this rationalistic orientation. In doing so, we illustrate how this orientation structures the (...)
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  28. Representational Kinds.Joulia Smortchkova & Michael Murez - forthcoming - In Joulia Smortchkova, Krzysztof Dolega & Tobias Schlicht (eds.), What are Mental Representations? New York, État de New York, États-Unis:
    Many debates in philosophy focus on whether folk or scientific psychological notions pick out cognitive natural kinds. Examples include memory, emotions and concepts. A potentially interesting type of kind is: kinds of mental representations (as opposed, for example, to kinds of psychological faculties). In this chapter we outline a proposal for a theory of representational kinds in cognitive science. We argue that the explanatory role of representational kinds in scientific theories, in conjunction with a mainstream approach to explanation in cognitive (...)
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  29. Volitional causality vs natural causality: reflections on their compatibility in Husserl’s phenomenology of action.Nicola Spano - forthcoming - Phenomenology and the Cognitive Sciences:1-19.
    In the present article, I introduce Husserl’s analyses of ‘natural causality’ and ‘volitional causality’, which are collected in the volume ‘Wille und Handlung’ of the Husserliana edition Studien zur Struktur des Bewußtseins. My aim is to show that Husserl’s insight into these phenomena enables us to understand more clearly both the specificity of, and the relation between, the motivational nexus belonging to the sphere of the will in contrast with the causal laws of nature. In light of this understanding, in (...)
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  30. Interpolating Causal Mechanisms: The Paradox of Knowing More.Simon Stephan, Katya Tentori, Stefania Pighin & Michael R. Waldmann - forthcoming - Journal of Experimental Psychology: General.
    Causal knowledge is not static; it is constantly modified based on new evidence. The present set of seven experiments explores 1 important case of causal belief revision that has been neglected in research so far: causal interpolations. A simple prototypic case of an interpolation is a situation in which we initially have knowledge about a causal relation or a positive covariation between 2 variables but later become interested in the mechanism linking these 2 variables. Our key finding is that the (...)
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  31. Concepts and the Appeal to Cognitive Science.Samuel D. Taylor - forthcoming - De Gruyter.
    This book evaluates whether or not we can decide on the best theory of concepts by appealing to the explanatory results of cognitive science. It undertakes an in-depth analysis of different theories of concepts and of the explanations formulated in cognitive science. As a result, two reasons are provided for thinking that an appeal to cognitive science cannot help to decide on the best theory of concepts. -/- - Reviews the state of the art with respect to theories of concepts. (...)
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  32. Two Kinds of Explanatory Integration in Cognitive Science.Samuel D. Taylor - forthcoming - Synthese.
    Some philosophers argue that we should eschew cross-explanatory integrations of mechanistic, dynamicist, and psychological explanations in cognitive science, because, unlike integrations of mechanistic explanations, they do not deliver genuine, cognitive scientific explanations (cf. Kaplan and Craver in Philos Sci 78:601–627, 2011; Miłkowski in Stud Log 48:13–33, 2016; Piccinini and Craver in Synthese 183:283–311, 2011). Here I challenge this claim by comparing the theoretical virtues of both kinds of explanatory integrations. I first identify two theoretical virtues of integrations of mechanistic explanations—unification (...)
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  33. Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence.Carlos Zednik - forthcoming - Philosophy and Technology:1-24.
    Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial Intelligence aims to develop analytic techniques that render opaque computing systems transparent, but lacks a normative framework with which to evaluate these techniques’ explanatory successes. The aim of the present discussion is to develop such a framework, paying particular attention to different stakeholders’ distinct explanatory requirements. Building on an analysis of “opacity” from (...)
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  34. How Does the Mind Render Streaming Experience as Events?Dare A. Baldwin & Jessica E. Kosie - 2021 - Topics in Cognitive Science 13 (1):79-105.
    Events—the experiences we think we are having and recall having had—are constructed; they are not what actually occurs. What occurs is ongoing dynamic, multidimensional, sensory flow, which is somehow transformed via psychological processes into structured, describable, memorable units of experience. But what is the nature of the redescription processes that fluently render dynamic sensory streams as event representations? How do such processes cope with the ubiquitous novelty and variability that characterize sensory experience? How are event‐rendering skills acquired and how do (...)
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  35. Introduction to Volume 13, Issue 1 of topiCS.Andrea Bender - 2021 - Topics in Cognitive Science 13 (1):4-5.
  36. Multi-Modal Dual-Task Measurement: A New Virtual Reality for Assessment.Tom Burke & Brendan Rooney - 2021 - Frontiers in Psychology 11.
  37. A Novel User Emotional Interaction Design Model Using Long and Short-Term Memory Networks and Deep Learning.Xiang Chen, Rubing Huang, Xin Li, Lei Xiao, Ming Zhou & Linghao Zhang - 2021 - Frontiers in Psychology 12.
    Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use (...)
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  38. Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
    Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this paper, we argue that this realist attitude is unwarranted. The Bayesian research program in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach (...)
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  39. Representation Wars: Enacting an Armistice Through Active Inference.Axel Constant, Andy Clark & Karl J. Friston - 2021 - Frontiers in Psychology 11.
    Over the last 30 years, representationalist and dynamicist positions in the philosophy of cognitive science have argued over whether neurocognitive processes should be viewed as representational or not. Major scientific and technological developments over the years have furnished both parties with ever more sophisticated conceptual weaponry. In recent years, an enactive generalization of predictive processing – known as active inference – has been proposed as a unifying theory of brain functions. Since then, active inference has fueled both representationalist and dynamicist (...)
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  40. How Do We Know What Babies Know? The Limits of Inferring Cognitive Representations From Visual Fixation Data.Isaac Davis - 2021 - Philosophical Psychology 34 (2):182-209.
    Most infant cognitive studies use visual fixation time as the measure of interest. There are, however, some serious methodological and theoretical concerns regarding what these studies reveal about infant cognition and how their results ought to be interpreted. We propose a Bayesian modeling framework which helps address these concerns. This framework allows us to more precisely formulate hypotheses about infants’ cognitive representations, formalize “linking hypotheses” that relate infants’ visual fixation behavior with stimulus complexity, and better determine what questions a given (...)
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  41. Can Hierarchical Predictive Coding Explain Binocular Rivalry?Julia Haas - 2021 - Philosophical Psychology 34 (3):424-444.
    Hohwy et al.’s (2008) model of binocular rivalry (BR) is taken as a classic illustration of predictive coding’s explanatory power. I revisit the account and show that it cannot explain the role of reward in BR. I then consider a more recent version of Bayesian model averaging, which recasts the role of reward in (BR) in terms of optimism bias. If we accept this account, however, then we must reconsider our conception of perception. On this latter view, I argue, organisms (...)
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  42. Events, Event Prediction, and Predictive Processing.Jakob Hohwy, Augustus Hebblewhite & Tom Drummond - 2021 - Wiley: Topics in Cognitive Science 13 (1):252-255.
    Events and event prediction are pivotal concepts across much of cognitive science, as demonstrated by the papers in this special issue. We first discuss how the study of events and the predictive processing framework may fruitfully inform each other. We then briefly point to some links to broader philosophical questions about events.
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  43. The Seven Deadly Sins of Psychology a Manifesto for Reforming the Culture of Scientific Practice.David M. Kaplan, Paul F. Sowman, Lance Abel, Spencer Arbige, Celeste Bernard Chandler, Christopher Chen, Tim Chard, Wendy C. Higgins, Samuel Jones, Lyndall Murray, Mitchell Robinson & Benjamin Taylor - 2021 - Philosophical Psychology 34 (1):158-163.
  44. An Approach to Aligning Categorical and Continuous Time Series for Studying the Dynamics of Complex Human Behavior.Kentaro Kodama, Daichi Shimizu, Rick Dale & Kazuki Sekine - 2021 - Frontiers in Psychology 12.
    An emerging perspective on human cognition and performance sees it as a kind of self-organizing phenomenon involving dynamic coordination across the body, brain and environment. Measuring this coordination faces a major challenge. Time series obtained from such cognitive, behavioral, and physiological coordination are often complicated in terms of non-stationarity and non-linearity, and in terms of continuous vs. categorical scales. Researchers have proposed several analytical tools and frameworks. One method designed to overcome these complexities is recurrence quantification analysis, developed in the (...)
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  45. Introducing a Method for Intervals Correction on Multiple Likert Scales: A Case Study on an Urban Soundscape Data Collection Instrument.Matteo Lionello, Francesco Aletta, Andrew Mitchell & Jian Kang - 2021 - Frontiers in Psychology 11.
    Likert scales are useful for collecting data on attitudes and perceptions from large samples of people. In particular, they have become a well-established tool in soundscape studies for conducting in situ surveys to determine how people experience urban public spaces. However, it is still unclear whether the metrics of the scales are consistently interpreted during a typical assessment task. The current work aims at identifying some general trends in the interpretation of Likert scale metrics and introducing a procedure for the (...)
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  46. Cause and Burn.David Rose, Eric Sievers & Shaun Nichols - 2021 - Cognition 207 (104517):104517.
    Many philosophers maintain that causation is to be explicated in terms of a kind of dependence between cause and effect. These “dependence” theories are opposed by “production” accounts which hold that there is some more fundamental causal “oomph”. A wide range of experimental research on everyday causal judgments seems to indicate that ordinary people operate primarily with a dependence-based notion of causation. For example, people tend to say that absences and double preventers are causes. We argue that the impression that (...)
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  47. Spatial Processes in Category Assignment.Ulrich von Hecker & Karl Christoph Klauer - 2021 - Journal of Experimental Psychology: General 150 (3):446-465.
    Investigates the hypothesis that spatial processes are involved in judgments on membership in a category. It is argued that membership versus non-membership of an object or a concept, in a category, is spatially simulated in mental space by a minimal continuum with 2 levels, left for membership and right for non-membership. In analogy to other embodied dimensions (e.g., time line or number line), the orientation of membership levels on the mental dimension is assumed to follow the acquired reading/writing schema, with (...)
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  48. Considering Situational Variety in Contextualized Aging Research – Opinion About Methodological Perspectives.Friedrich Wolf, Alexander Seifert, Mike Martin & Frank Oswald - 2021 - Frontiers in Psychology 12.
    Due to the increasingly heterogeneous trajectories of aging, gerontology requires theoretical models and empirical methods that can meaningfully, reliably, and precisely describe, explain, and predict causes and effects within the aging process, considering particular contexts and situations. Human behavior occurs in contexts; nevertheless, situational changes are often neglected in context-based behavior research. This article follows the tradition of environmental gerontology research based on Lawton’s Person-Environment-Interaction model and the theoretical developments of recent years. The authors discuss that, despite an explicit time (...)
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  49. Experiential Explanation.Sara Aronowitz & Tania Lombrozo - 2020 - Topics in Cognitive Science 12 (4):1321-1336.
    People often answer why-questions with what we call experiential explanations: narratives or stories with temporal structure and concrete details. In contrast, on most theories of the epistemic function of explanation, explanations should be abstractive: structured by general relationships and lacking extraneous details. We suggest that abstractive and experiential explanations differ not only in level of abstraction, but also in structure, and that each form of explanation contributes to the epistemic goals of individual learners and of science. In particular, experiential explanations (...)
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  50. What Are the Appropriate Axioms of Rationality for Reasoning Under Uncertainty with Resource-Constrained Systems?Harald Atmanspacher, Irina Basieva, Jerome R. Busemeyer, Andrei Y. Khrennikov, Emmanuel M. Pothos, Richard M. Shiffrin & Zheng Wang - 2020 - Behavioral and Brain Sciences 43.
    When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serioustractabilityproblems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.
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