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  1. A shared novelty-seeking basis for creativity and curiosity.Tal Ivancovsky, Shira Baror & Moshe Bar - 2024 - Behavioral and Brain Sciences 47:e89.
    Curiosity and creativity are central pillars of human growth and invention. Although they have been studied extensively in isolation, the relationship between them has not yet been established. We propose that both curiosity and creativity emanate from the same mechanism of novelty seeking. We first present a synthesis showing that curiosity and creativity are affected similarly by a number of key cognitive faculties such as memory, cognitive control, attention, and reward. We then review empirical evidence from neuroscience research, indicating that (...)
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  • Active inference, enactivism and the hermeneutics of social cognition.Shaun Gallagher & Micah Allen - 2018 - Synthese 195 (6):2627-2648.
    We distinguish between three philosophical views on the neuroscience of predictive models: predictive coding, predictive processing and predictive engagement. We examine the concept of active inference under each model and then ask how this concept informs discussions of social cognition. In this context we consider Frith and Friston’s proposal for a neural hermeneutics, and we explore the alternative model of enactivist hermeneutics.
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  • How preferences enslave attention: calling into question the endogenous/exogenous dichotomy from an active inference perspective.Darius Parvizi-Wayne - forthcoming - Phenomenology and the Cognitive Sciences:1-47.
    It is easy to think of attention as a purely sensorimotor, exogenous mechanism divorced from the influence of an agent’s preferences and needs. However, according to the active inference framework, such a strict reduction cannot be straightforwardly invoked, since _all_ cognitive and behavioural processes can at least be described as maximising the evidence for a generative model entailed by the ongoing existence of that agent; that is, the minimisation of variational free energy. As such, active inference models could cast an (...)
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  • Imaginative play for a predictive spectator: theatre, affordance spaces, and predictive engagement.Maiya Murphy - 2022 - Phenomenology and the Cognitive Sciences 21 (5):1069-1088.
    This article proposes how theatre, as a site of expert adult imaginative play, provides a unique window into how E-cognition can advance our understanding of imagination as a lifelong practice. I characterize theatrical activity as highly developed actions and strategies for wielding bodies, objects, and environments as imaginative practice. Through an enactively based case study of the play _Provenance_ by Autopoetics ( 2018 ), I reveal how creation and performance processes literally and epistemically engineer novel niches for the spectator. This (...)
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  • Visual affects: Linking curiosity, Aha-Erlebnis, and memory through information gain.Sander Van de Cruys, Claudia Damiano, Yannick Boddez, Magdalena Król, Lore Goetschalckx & Johan Wagemans - 2021 - Cognition 212 (C):104698.
    Current theories propose that our sense of curiosity is determined by the learning progress or information gain that our cognitive system expects to make. However, few studies have explicitly tried to quantify subjective information gain and link it to measures of curiosity. Here, we asked people to report their curiosity about the intrinsically engaging perceptual ‘puzzles’ known as Mooney images, and to report on the strength of their aha experience upon revealing the solution image (curiosity relief). We also asked our (...)
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  • From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 3).Jeffrey White & Jun Tani - 2017 - APA Newsletter on Philosophy and Computers 17 (1):11-22.
    This third paper locates the synthetic neurorobotics research reviewed in the second paper in terms of themes introduced in the first paper. It begins with biological non-reductionism as understood by Searle. It emphasizes the role of synthetic neurorobotics studies in accessing the dynamic structure essential to consciousness with a focus on system criticality and self, develops a distinction between simulated and formal consciousness based on this emphasis, reviews Tani and colleagues' work in light of this distinction, and ends by forecasting (...)
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  • The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs.Robin L. Carhart-Harris, Robert Leech, Peter J. Hellyer, Murray Shanahan, Amanda Feilding, Enzo Tagliazucchi, Dante R. Chialvo & David Nutt - 2014 - Frontiers in Human Neuroscience 8.
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  • Modelling ourselves: what the free energy principle reveals about our implicit notions of representation.Matt Sims & Giovanni Pezzulo - 2021 - Synthese 199 (3-4):7801-7833.
    Predictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle —a normative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., representational versus non-representational. Here we argue that these different interpretations depend on implicit assumptions about what qualifies as representational. We deploy the Free Energy Principle instrumentally to distinguish four main notions of representation, which focus on organizational, (...)
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  • Cooperation and Social Rules Emerging From the Principle of Surprise Minimization.Mattis Hartwig & Achim Peters - 2021 - Frontiers in Psychology 11.
    The surprise minimization principle has been applied to explain various cognitive processes in humans. Originally describing perceptual and active inference, the framework has been applied to different types of decision making including long-term policies, utility maximization and exploration. This analysis extends the application of surprise minimization to a multi-agent setup and shows how it can explain the emergence of social rules and cooperation. We further show that in social decision-making and political policy design, surprise minimization is superior in many aspects (...)
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  • Above and beyond the concrete: The diverse representational substrates of the predictive brain.Michael Gilead, Yaacov Trope & Nira Liberman - 2020 - Behavioral and Brain Sciences 43:e121.
    In recent years, scientists have increasingly taken to investigate the predictive nature of cognition. We argue that prediction relies on abstraction, and thus theories of predictive cognition need an explicit theory of abstract representation. We propose such a theory of the abstract representational capacities that allow humans to transcend the “here-and-now.” Consistent with the predictive cognition literature, we suggest that the representational substrates of the mind are built as ahierarchy, ranging from the concrete to the abstract; however, we argue that (...)
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  • Repeating patterns: Predictive processing suggests an aesthetic learning role of the basal ganglia in repetitive stereotyped behaviors.Blanca T. M. Spee, Ronald Sladky, Joerg Fingerhut, Alice Laciny, Christoph Kraus, Sidney Carls-Diamante, Christof Brücke, Matthew Pelowski & Marco Treven - 2022 - Frontiers in Psychology 13.
    Recurrent, unvarying, and seemingly purposeless patterns of action and cognition are part of normal development, but also feature prominently in several neuropsychiatric conditions. Repetitive stereotyped behaviors can be viewed as exaggerated forms of learned habits and frequently correlate with alterations in motor, limbic, and associative basal ganglia circuits. However, it is still unclear how altered basal ganglia feedback signals actually relate to the phenomenological variability of RSBs. Why do behaviorally overlapping phenomena sometimes require different treatment approaches−for example, sensory shielding strategies (...)
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  • Meeting in the Dark Room: Bayesian Rational Analysis and Hierarchical Predictive Coding,.Sascha Benjamin Fink & Carlos Zednik - 2017 - Philosophy and Predictive Processing.
    At least two distinct modeling frameworks contribute to the view that mind and brain are Bayesian: Bayesian Rational Analysis (BRA) and Hierarchical Predictive Coding (HPC). What is the relative contribution of each, and how exactly do they relate? In order to answer this question, we compare the way in which these two modeling frameworks address different levels of analysis within Marr’s tripartite conception of explanation in cognitive science. Whereas BRA answers questions at the computational level only, many HPC-theorists answer questions (...)
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  • TTOM in action: Refining the variational approach to cognition and culture.Samuel P. L. Veissière, Axel Constant, Maxwell J. D. Ramstead, Karl J. Friston & Laurence J. Kirmayer - 2020 - Behavioral and Brain Sciences 43:e120.
    The target article “Thinking Through Other Minds” (TTOM) offered an account of the distinctively human capacity to acquire cultural knowledge, norms, and practices. To this end, we leveraged recent ideas from theoretical neurobiology to understand the human mind in social and cultural contexts. Our aim was bothsynthetic– building an integrative model adequate to account for key features of cultural learning and adaptation; andprescriptive– showing how the tools developed to explain brain dynamics can be applied to the emergence of social and (...)
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  • (1 other version)Autonomous Reboot: Kant, the categorical imperative, and contemporary challenges for machine ethicists.Jeffrey White - 2022 - AI and Society 37 (2):661-673.
    Ryan Tonkens has issued a seemingly impossible challenge, to articulate a comprehensive ethical framework within which artificial moral agents satisfy a Kantian inspired recipe—"rational" and "free"—while also satisfying perceived prerogatives of machine ethicists to facilitate the creation of AMAs that are perfectly and not merely reliably ethical. This series of papers meets this challenge by landscaping traditional moral theory in resolution of a comprehensive account of moral agency. The first paper established the challenge and set out autonomy in Aristotelian terms. (...)
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  • The value of uncertainty: An active inference perspective.Giovanni Pezzulo & Karl J. Friston - 2019 - Behavioral and Brain Sciences 42.
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  • A nice surprise? Predictive processing and the active pursuit of novelty.Andy Clark - 2018 - Phenomenology and the Cognitive Sciences 17 (3):521-534.
    Recent work in cognitive and computational neuroscience depicts human brains as devices that minimize prediction error signals: signals that encode the difference between actual and expected sensory stimulations. This raises a series of puzzles whose common theme concerns a potential misfit between this bedrock informationtheoretic vision and familiar facts about the attractions of the unexpected. We humans often seem to actively seek out surprising events, deliberately harvesting novel and exciting streams of sensory stimulation. Conversely, we often experience some wellexpected sensations (...)
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  • Affordances from a control viewpoint.Joëlle Proust - 2024 - Philosophical Psychology 37 (7):1590-1614.
    Perceiving an armchair prepares us to sit. Reading the first line in a text prepares us to read it. This article proposes that the affordance construct used to explain reactive potentiation of behavior similarly applies to reactive potentiation of cognitive actions. It defends furthermore that, in both cases, affordance-sensings do not only apply to selective (dis)engagement, but also to the revision and the termination of actions. In the first section, characteristics of environmental affordance-sensings such as directness, stability, action potentiation, valence, (...)
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  • Variational Free Energy and Economics Optimizing With Biases and Bounded Rationality.Morten Henriksen - 2020 - Frontiers in Psychology 11.
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  • From allostatic agents to counterfactual cognisers: active inference, biological regulation, and the origins of cognition.Andrew W. Corcoran, Giovanni Pezzulo & Jakob Hohwy - 2020 - Biology and Philosophy 35 (3):1-45.
    What is the function of cognition? On one influential account, cognition evolved to co-ordinate behaviour with environmental change or complexity. Liberal interpretations of this view ascribe cognition to an extraordinarily broad set of biological systems—even bacteria, which modulate their activity in response to salient external cues, would seem to qualify as cognitive agents. However, equating cognition with adaptive flexibility per se glosses over important distinctions in the way biological organisms deal with environmental complexity. Drawing on contemporary advances in theoretical biology (...)
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  • Keeping it Real: Research Program Physicalism and the Free Energy Principle.Andreas Elpidorou & Guy Dove - 2023 - Topoi 42 (3):733-744.
    The Free Energy Principle (FEP) states that all biological self-organizing systems must minimize variational free energy. The acceptance of this principle has given rise to a popular and far-reaching theoretical and empirical approach to the study of the brain and living organisms. Despite the popularity of the FEP approach, little discussion has ensued about its ontological status and implications. By understanding physicalism as an interdisciplinary research program that aims to offer compositional explanations of mental phenomena, this paper articulates what it (...)
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  • Normativity of Predictions: A New Research Perspective.Michał Piekarski - 2019 - Frontiers in Psychology 10.
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  • Agency, Goal-Directed Behavior, and Part-Whole Relationships in Biological Systems.Richard Watson - 2024 - Biological Theory 19 (1):22-36.
    In this essay we aim to present some considerations regarding a minimal but concrete notion of agency and goal-directed behavior that are useful for characterizing biological systems at different scales. These considerations are a particular perspective, bringing together concepts from dynamical systems, combinatorial problem-solving, and connectionist learning with an emphasis on the relationship between parts and wholes. This perspective affords some ways to think about agents that are concrete and quantifiable, and relevant to some important biological issues. Instead of advocating (...)
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  • The predictive mind and the experience of visual art work.Ladislav Kesner - 2014 - Frontiers in Psychology 5.
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  • Uncertainty in perception and the Hierarchical Gaussian Filter.Christoph D. Mathys, Ekaterina I. Lomakina, Jean Daunizeau, Sandra Iglesias, Kay H. Brodersen, Karl J. Friston & Klaas E. Stephan - 2014 - Frontiers in Human Neuroscience 8.
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  • Motivation, counterfactual predictions and constraints: normativity of predictive mechanisms.Michał Piekarski - 2022 - Synthese 200 (5):1-31.
    The aim of this paper is to present the ontic approach to the normativity of cognitive functions and mechanisms, which is directly related to the understanding of biological normativity in terms of normative mechanisms. This approach assumes the hypothesis that cognitive processes contain a certain normative component independent of external attributions and researchers’ beliefs. This component consists of specific cognitive mechanisms, which I call normative. I argue that a mechanism is normative when it constitutes given actions or behaviors of a (...)
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  • The feeling of grip: novelty, error dynamics, and the predictive brain.Julian Kiverstein, Mark Miller & Erik Rietveld - 2019 - Synthese 196 (7):2847-2869.
    According to the free energy principle biological agents resist a tendency to disorder in their interactions with a dynamically changing environment by keeping themselves in sensory and physiological states that are expected given their embodiment and the niche they inhabit :127–138, 2010. doi: 10.1038/nrn2787). Why would a biological agent that aims at minimising uncertainty in its encounters with the world ever be motivated to seek out novelty? Novelty for such an agent would arrive in the form of sensory and physiological (...)
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  • What Individuals Experience During Visuo-Spatial Working Memory Task Performance: An Exploratory Phenomenological Study.Aleš Oblak, Anka Slana Ozimič, Grega Repovš & Urban Kordeš - 2022 - Frontiers in Psychology 13:811712.
    In experimental cognitive psychology, objects of inquiry are typically operationalized with psychological tasks. When interpreting results from such tasks, we focus primarily on behavioral measures such as reaction times and accuracy rather than experiences – i.e., phenomenology – associated with the task, and posit that the tasks elicit the desired cognitive phenomenon. Evaluating whether the tasks indeed elicit the desired phenomenon can be facilitated by understanding the experience during task performance. In this paper we explore the breadth of experiences that (...)
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  • Techno-Wantons: Adaptive Technology and the Will of Tomorrow.Ben White - forthcoming - Topoi:1-13.
    Recent work within the tradition of 4E cognitive science and philosophy of mind has drawn attention to the ways that our technological, material, and social environments can act as hostile, oppressive, and harmful scaffolding. These accounts push back against a perceived optimistic bias in the wider literature, whereby, according to the critics, our engagements with technology are painted as taking place on our terms, to our benefit, in ways uncomplicated by political realities. This article enters into that conversation, and aims (...)
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  • Normatywność antycypacji a normatywność predykcji. Dwa podejścia: fenomenologia i teoria przetwarzania predykcyjnego.Michał Piekarski - 2017 - Avant: Trends in Interdisciplinary Studies 8 (3):25-56.
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  • How Stress Can Change Our Deepest Preferences: Stress Habituation Explained Using the Free Energy Principle.Mattis Hartwig, Anjali Bhat & Achim Peters - 2022 - Frontiers in Psychology 13.
    People who habituate to stress show a repetition-induced response attenuation—neuroendocrine, cardiovascular, neuroenergetic, and emotional—when exposed to a threatening environment. But the exact dynamics underlying stress habituation remain obscure. The free energy principle offers a unifying account of self-organising systems such as the human brain. In this paper, we elaborate on how stress habituation can be explained and modelled using the free energy principle. We introduce habituation priors that encode the agent’s tendency for stress habituation and incorporate them in the agent’s (...)
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