Levels of Analysis in Cognitive Science

In this essay, it is argued that naturalism of an even moderate sort speaks strongly against a certain widely held thesis about the human mental (and cognitive) architecture: that it is divided into two distinct levels, the personal and the subpersonal, about the former of which we gain knowledge in a manner that effectively insulates such knowledge from the results of scientific research. -/- An empirically motivated alternative is proposed, according to which the architecture is, so to speak, flattened from (...) above. On this flattened view, although the states and processes typically associated with the personal level likely appear in our best models of the production of human behavior, they appear alongside states and processes normally associated with the subpersonal level. Moreover, the success of such models depends nowise on a levels-based distinction between the various causal contributors. It is argued that the flattened view has methodological implications of significant import. (shrink)

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 (...) my book 2008), following Kant’s philosophy, I introduced the notion of the “observer” for the mind-brain problem. After 2010 (mainly his book 2011 and other papers after this book), Nortoff also uses Kant’s philosophy (even if his knowledge about Kant’s philosophy is very superficial!) and the notion of the “observer” for the mind-brain problem in a methodology very similar to my methodology. Moreover, instead of EDWs, Nortoff uses a kind of “transdisciplinary” view, quite close to parallelism – the closest approach to my EDWs! In his works until 2014, Northoff’s conclusion within the unicorn world was different than my conclusion. However, in his book 2014 (two volumes) using notions like “correlations” and even “correspondences” many times, his conclusion is very closed to my EDWs! This dramatic change of framework in 3 years is quite unbelievable!!! Incredible many ideas from this book are very similar to my ideas from 2005 and 2008! (shrink)

A friend of my sent me the address where this paper has been posted by Adam Frank. Reading it, I realized that more than 90% of the main ideas of this paper (about the mind-brain problem, quantum mechanics (microparticles-wave relationship, Schrodinger equation, probabilities, “perceiving subject in physics”, the idea about consciousness and Nagel, etc. etc.) are UNBELIEVABLE similar to my ideas from my paper 2005 or my book 2008!!!

Expanded reprint of the WIREs Science of Belief paper for Julien Musolino, Joseph Sommer, and Pernille Hemmer's The Science of Beliefs: A Multidisciplinary Approach. Cambridge University Press.

The empirical study of belief is emerging at a rapid clip, uniting work from all corners of cognitive science. Reliance on belief in understanding and predicting behavior is widespread. Examples can be found, inter alia, in the placebo, attribution theory, theory of mind, and comparative psychological literatures. Research on belief also provides evidence for robust generalizations, including about how we fix, store, and change our beliefs. Evidence supports the existence of a Spinozan system of belief fixation: one that is automatic (...) and independent of belief rejection. Independent research supports the existence of a system of fragmented belief storage: one that relies on large numbers of causally isolated, context-sensitive stores of belief in memory. Finally, empirical and observational data support at least two systems of belief change. One system adheres, mostly, to epistemological norms of updating; the other, the psychological immune system, functions to guard our most centrally held beliefs from potential inconsistency with newly formed beliefs. Refining our under- standing of these systems can shed light on pressing real-world issues, such as how fake news, propaganda, and brainwashing exploit our psychology of belief, and how best to construct our modern informational world. (shrink)

A foundational issue for the science and philosophy of consciousness concerns the function(s) of consciousness – what consciousness does for any particular aspect of psychological or neural processing. In spite of progress in consciousness science, false assumptions and a lack of clarity regarding how best to approach the functions of consciousness represent an ongoing and serious roadblock to progress. Misguided approaches to the function(s) of consciousness have the potential to mangle explanatory priorities, and divert attention, effort, and funding away from (...) useful questions and experimental paradigms. In this paper we offer a way forward: the capacity-based approach to the function(s) of consciousness. This approach flows out of a general explanatory approach that is influential in the philosophy of science and psychology (but not consciousness studies), according to which the mind is understood in terms of a structured collection of capacities. And capacities are explained by empirically discovered facts that identify functions (causal roles) played by empirically identified parts of a system. After elucidating this capacity-based approach to the mind, we show how consciousness fits within it. We then argue that this approach avoids problems that plague theory-based approaches to identifying the function(s) of consciousness, avoids mistakes endemic to the common strategy of looking for the function(s) of consciousness by asking what consciousness is necessary for, and re-orients explanatory priorities in a way that better focuses consciousness science, and that suggests fruitful avenues for experimentation. (shrink)

According to Phillips, (1) genuine perception is attributable to the individual (i.e. it’s a personal state/event, as opposed to sub-personal states/events in the individual’s brain); (2) since unconscious perceptual representations are ill-suited to guide action, there’s no good reason to attribute them to the individual; (3) not being attributable to the individual, they don’t instantiate genuine perception, thereby failing to support the hypothesis that genuine perception can occur unconsciously. I argue that this reasoning is flawed and can’t be easily fixed. (...) Phillips contends that unconscious perceptual representations don’t guide action because they fail to meet certain conditions that are sufficient for action guidance. But those conditions may not be necessary for action guidance. Consequently, unconscious perceptual representations may guide action even if they don’t meet Phillips’ conditions. Furthermore, due to his commitment to the distinction between personal and sub-personal states/events, Phillips isn’t in a position to argue that his conditions are necessary for action guidance. For the distinction applies to action as well as to perception, and when genuine action is identified by personal-level criteria, Phillips’ conditions turn out unnecessary for action guidance. (shrink)

The Physical Signature of Computation is the most “robust” mapping view that’s ever hit the market. It is impressive in its detail and the careful attention paid to its characterization of both the physical system and the formal computational description—a true service to the philosophical literature. The book promises a “unified account of artifact and biological computation,” but here’s where things take a turn: after handling artifacts, the Robust Mapping Account fades from view and the Mechanistic Account of Physical Computation (...) (in its neurocognitive form) emerges as the way to capture biological computation. To have a unified account, then, requires two distinct approaches to understanding the nature of physical computation. This raises questions about whether the Robust Mapping Account can be extended to neural computation, but most importantly, questions about the compatibly of these two views is questionable given the history of the Mechanistic Account and its underpinning framework. (shrink)

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that enable cognitive agents (...) to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

The topic of this dissertation is the nature of linguistic competence, the capacity to understand and produce sentences of natural language. I defend the empiricist account of linguistic competence embedded in the connectionist cognitive science. This strand of cognitive science has been opposed to the traditional symbolic cognitive science, coupled with transformational-generative grammar, which was committed to nativism due to the view that human cognition, including language capacity, should be construed in terms of symbolic representations and hardwired rules. Similarly, linguistic (...) competence in this framework was regarded as being innate, rule-governed, domain-specific, and fundamentally different from performance, i.e., idiosyncrasies and factors governing linguistic behavior. I analyze state-of-the-art connectionist, deep learning models of natural language processing, most notably large language models, to see what they can tell us about linguistic competence. Deep learning is a statistical technique for the classification of patterns through which artificial intelligence researchers train artificial neural networks containing multiple layers that crunch a gargantuan amount of textual and/or visual data. I argue that these models suggest that linguistic competence should be construed as stochastic, pattern-based, and stemming from domain-general mechanisms. Moreover, I distinguish syntactic from semantic competence, and I show for each the ramifications of the endorsement of a connectionist research program as opposed to the traditional symbolic cognitive science and transformational-generative grammar. I provide a unifying front, consisting of usage-based theories, a construction grammar approach, and an embodied approach to cognition to show that the more multimodal and diverse models are in terms of architectural features and training data, the stronger the case is for the connectionist linguistic competence. I also propose to discard the competence vs. performance distinction as theoretically inferior so that a novel and integrative account of linguistic competence originating in connectionism and empiricism that I propose and defend in the dissertation could be put forward in scientific and philosophical literature. (shrink)

The expanding social role and continued development of artificial intelligence (AI) needs theological investigation of its anthropological and moral potential. A pragmatic theological anthropology adapted for AI can characterize moral AI as experiencing its natural, social, and moral world through interpretations of its external reality as well as its self-reckoning. Systems theory can further structure insights into an AI social self that conceptualizes itself within Ignacio Ellacuria’s historical reality and its moral norms through Thomistic ideogenesis. This enables a conceptualization process (...) capable of carrying moral weight and grounded in reality; structures the experience of an AI emergent self into multiple levels of interpretation; and drives a multi-level systems architecture for moral AI. Modeling AI’s interpretive experience and self-reckoning as a causal, sociotechnical, and moral actor can help moral AI identify conflicts between its normative values and develop the practical wisdom (phronesis) needed to apply its general moral models. (shrink)

The aim of this expository paper is to give an informal overview of a plausible naturalistic case for free will. I will describe what I take to be the main naturalistically motivated challenges for free will and respond to them by presenting an indispensability argument for free will. The argument supports the reality of free will as an emergent higher-level phenomenon. I will also explain why the resulting picture of free will does not conflict with the possibility that the fundamental (...) laws of nature are deterministic, and I will address some common objections. (shrink)

Recent years have seen a Bayesian revolution in cognitive science. This should be of interest to metaphysicians of science, whose naturalist project involves working out the metaphysical implications of our leading scientific accounts, and in advancing our understanding of those accounts by drawing on the metaphysical frameworks developed by philosophers. Toward these ends, in this paper I develop a metaphysics of the Bayesian mind. My central claim is that the Bayesian approach supports a novel empirical argument for normativism, the thesis (...) that belief has a normative essence, with the norms in question being those of rationality. The argument I develop draws in part on the causal powers subset account of realization defended by Wilson and Shoemaker, with the link being that Bayesians often appeal to Marr’s framework of levels of analysis, which carries with it multiple realizability claims that can be understood in terms of the subset model. I then use the view developed, with its appeal to normativism and subset realization, to explain how Bayesians can accommodate empirical findings of irrationality that are sometimes thought to pose a problem for their view. (shrink)

Each of our sensory modalities—vision, touch, taste, etc.—works on a slightly different timescale, with differing temporal resolutions and processing lag. This raises the question of how, or indeed whether, these sensory streams are co-ordinated or ‘bound’ into a coherent multisensory experience of the perceptual ‘now’. In this paper I evaluate one account of how temporal binding is achieved: the temporal windows hypothesis, concluding that, in its simplest form, this hypothesis is inadequate to capture a variety of multisensory phenomena. Rather, the (...) evidence suggests the existence of a more complex temporal structure in which multiple overlapping windows support distinct functional mechanisms. To aid in the precise formulation of such views, I propose a taxonomy of temporal window types and their characteristics that in turn suggests promising avenues for future empirical and philosophical research. I conclude by examining some philosophical implications of multi-window models for the metaphysics of perception and perceptual experience more generally. (shrink)

We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated by control mechanisms (...) that select when a production is required and how it should be carried out. To operate on production mechanisms, control mechanisms need to procure information through measurement processes and evaluate possible actions. They are making decisions. In all organisms, these decisions are made by multiple different control mechanisms that are organized not hierarchically but heterarchically. In many cases, they employ internal models of features of the environment with which the organism must deal. Cognition, in the form of decision-making, is thus fundamental to living systems which must control their production mechanisms. (shrink)

Realists about mental disorder have been hasty about dismissing social explanations of how mental disorder is constituted. However, many social ontologies are realist ontologies. In order to create a meaningful distinction between realism and social metaphysics about mental disorder, I propose that realism about mental disorder is best understood as Individual Trait Realism (ITR) about them. For ITR, mental disorders exist in virtue of traits. I defend the view that ITR is compatible with social metaphysics, arguing that, in asking whether (...) constituents in the social sphere figure the metaphysics of psychopathology, we are asking questions on three different strata of explanation: the strata of demarcation, instantiation, and individual traits. Distinguishing between these strata allows for nuanced realism that need not reject the social constitution of mental disorder. (shrink)

This essay presents the conditional probability of co-contribution account of the individuation of cognitive systems (CPC) and argues that CPC provides an attractive basis for a theory of the cognitive self. The argument proceeds in a largely indirect way, by emphasizing empirical challenges faced by an approach that relies entirely on predictive processing (PP) mechanisms to ground a theory of the cognitive self. Given the challenges faced by PP-based approaches, we should prefer a theory of the cognitive self of the (...) sort CPC offers, one that accommodates variety in the kinds of mechanism that, when integrated, constitute a cognitive system (and thus the cognitive self), to a theory according to which the cognitive self is composed of essentially one kind of thing, for instance, prediction-error minimization mechanisms. The final section focuses on one of the central functions of the cognitive self: to engage in conscious reasoning. It is argued that the phenomenon of conscious, deliberate reasoning poses an apparently insoluble problem for a PP-based view, one that seems to rest on a structural limitation of predictive-processing models. In a nutshell, conscious reasoning is a single-stream phenomenon, but, in order for PP to apply, two streams of activity must be involved, a prediction stream and an input stream. Thus, with regard to the question of the nature of the self, PP-based views must yield to an alternative approach, regardless of whether proponents of the predictive processing, as a comprehensive theory of cognition, can handle the various empirical challenges canvassed in the preceding section. (shrink)

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 (...) support mental simulation and survive transitions across background theories; as a result, they support learning and help us translate between competing frameworks. Experiential explanations play an irreducible role in human cognition – and perhaps in science. (shrink)

Researchers in the cognitive sciences often seek neural correlates of psychological constructs. In this paper, I argue that even when these correlates are discovered, they do not always lead to reductive outcomes. To this end, I examine the psychological construct of a critical period and briefly describe research identifying its neural correlates. Although the critical period is correlated with certain neural mechanisms, this does not imply that there is a reductionist relationship between this psychological construct and its neural correlates. Instead, (...) this case study suggests that there may be many-to-many psychological-neural mappings, not just one-to-one or even one-to-many relations between psychological kinds and types of neural mechanisms. (shrink)

이것은 행동에 유전자/환경 상호 작용의 훌륭한 검토 이며, 조금 일자 임에도 불구 하 고, 쉽고 가치 있는 읽기. 그(것)들은 행동에 유전학의 압도적인 충격을 보여주는 쌍둥이 연구 결과로 시작합니다. 그들은 공유 가정 환경이 행동에 거의 영향을 미치지 않으며 입양 된 자녀가 무작위로 선택된 사람들처럼 의붓 형제 자매와 다르게 자라는 사실을 확장하고 요약하는 주디스 해리스 (Judith Harris)의 점점 더 잘 알려진 연구에 주목합니다. 그들 (그리고 행동 유전학을 토론하는 거의 모든 사람들이) 주의하지 못하는 한 가지 기본 포인트는 우리의 성격의 모든 기초를 포함하여 인간의 (...) 행동 보편적 인 수백 (수천)이 정상의 변화가없는 유전자에 의해 100 % 결정된다는 것입니다. 모든 사람은 나무를 돌이 아닌 나무로 보고, 음식을 찾고 먹고, 화가 나고 질투합니다. 그래서, 그들은 주로 여기에 대해 이야기하는 것은 얼마나 많은 환경 (문화)가 자신의 외모보다는 다양한 특성이 표시되는 정도에 영향을 미칠 수 있습니다. 마지막으로, 그들은 우리와 모든 유기체가 자연의 우생학의 산물이며 의학, 농업 및 문명 전체와 자연 선택을 물리 치려는 시도가 이 일을계속하는 모든 사회에 재앙이라는 것을 주목하지 못하고, 일반적인 정치적으로 올바른 방식으로 우생학에 대해논의합니다. 모든 개념의 50%, 또는 약 1억 년 동안, 어머니가 인식하지 못하고 거의 모든 조기 자발적 낙태로 끝납니다. 결함이 있는 유전자의 이 자연적인 컬링은 진화를 유도하고, 상대적으로 유전적으로 건전하게 유지하고, 사회를 가능하게 합니다. 이형성은 문명을 파괴하기에 충분하지만 인구 과잉은먼저그것을 o것입니다. 현대 의 두 시스템 보기에서인간의 행동에 대한 포괄적 인 최신 프레임 워크를 원하는 사람들은 내 책을 참조 할 수 있습니다'철학의 논리적 구조, 심리학, 민d와 루드비히 비트겐슈타인과 존 Searle의 언어' 그리고 언어 2nd ed (2019). 내 글의 더 많은 관심있는 사람들은 '이야기 원숭이를 볼 수 있습니다 -철학, 심리학, 과학, 운명 행성에 종교와 정치 - 기사 및 리뷰 2006-2017' 3rd ed (2019) 및 기타. (shrink)

पादरी Hofstadter द्वारा कट्टरपंथी प्रकृतिवाद के चर्च से नवीनतम उपदेश. अपने बहुत अधिक प्रसिद्ध (या अपने अथक दार्शनिक त्रुटियों के लिए कुख्यात) काम Godel, Escher, बाख की तरह, यह एक सतही प्रशंसनीयता है, लेकिन अगर एक समझता है कि यह बड़े पैमाने पर वैज्ञानिकता है जो दार्शनिक लोगों के साथ वास्तविक वैज्ञानिक मुद्दों घोला जा सकता है (यानी, केवल असली मुद्दों क्या भाषा का खेल हम खेलना चाहिए रहे हैं) तो लगभग सभी अपनी रुचि गायब हो जाता है. मैं विकासवादी (...) मनोविज्ञान और Wittgenstein के काम में आधारित विश्लेषण के लिए एक रूपरेखा प्रदान (के बाद से मेरे और अधिक हाल ही में लेखन में अद्यतन). आधुनिक दो systems दृश्यसे मानव व्यवहार के लिए एक व्यापक अप करने के लिए तारीख रूपरेखा इच्छुक लोगों को मेरी पुस्तक 'दर्शन, मनोविज्ञान, मिनडी और लुडविगमें भाषा की तार्किक संरचना से परामर्श कर सकते हैं Wittgenstein और जॉन Searle '2 एड (2019). मेरे लेखन के अधिक में रुचि रखने वालों को देख सकते हैं 'बात कर रहेबंदर- दर्शन, मनोविज्ञान, विज्ञान, धर्म और राजनीति पर एक बर्बाद ग्रह --लेख और समीक्षा 2006-2019 3 एड (2019) और आत्मघाती यूटोपियान भ्रम 21st मेंसदी 4वें एड (2019) . (shrink)

Como tantas veces en filosofía, el título no sólo establece la línea de batalla, sino que expone los prejuicios y errores del autor, ya que si podemos o no dar sentido al juego de idiomas 'Ver las cosas como son' y si es posible tener una 'teoría filosófica' de percepción' (que sólo puede ser sobre cómo funciona el lenguaje de la percepción), a diferencia de uno científico, que es una teoría sobre cómo funciona el cerebro, son exactamente los problemas. Este (...) es el Clásico Searle, excelente y probablemente al menos tan bueno como cualquier otro puede producir, pero carente de una comprensión completa de las ideas fundamentales del Wittgenstein posterior y sin comprender los dos sistemas de marco de pensamiento, lo que podría haberlo hecho brillante. Al igual que en su trabajo anterior, Searle evita en gran medida la ciencia, pero hay lapsos frecuentes y no entiende que los problemas son siempre sobre los juegos de idiomas, un fracaso que comparte con casi todo el mundo. Después de proporcionar un marco que consiste en una Tabla de Intencionalidad basada en los dos sistemas de pensamiento y pensamiento y investigación de decisiones, doy un análisis detallado del libro. Aquellos que deseen un marco completo hasta la fecha para el comportamiento humano de la moderna dos sistemas punto de vista puede consultar mi libros Talking Monkeys 3ª ed (2019), Estructura Logica de Filosofia, Psicología, Mente y Lenguaje en Ludwig Wittgenstein y John Searle 2a ed (2019), Suicidio pela Democracia 4ª ed (2019), La Estructura Logica del Comportamiento Humano (2019), The Logical Structure de la Conciencia (2019), Comprender las Conexiones entre Ciencia, Filosofía, Psicología, Religión, Política , Economía, Hitoria y Literatura (2020) y Delirios Utópicos Suicidas en el siglo 21 5ª ed (2019), Observaciones sobre Imposibilidad, Incompletitud, Paraconsistencia, Indecidibilidad, Aleatoriedad, Computabilidad, Paradoja e Incertidumbre en Chaitin, Wittgenstein, Hofstadter, Wolpert, Doria, da Costa, Godel, Searle, Rodych Berto, Floyd, Moyal-Sharrock y Yanofsky (2019) y otras. Al igual que con Wittgenstein (en adelante W), todo lo que Searle (en adelante S) escribe es un tesoro y es maravilloso que permanezca afilado a medida que se acerca a los 80. A diferencia de la mayoría, incluso sus primeros trabajos siguen siendo relevantes y está trabajando en varios otros libros. También sugiero sus más de 100 conferencias y entrevistas en youtube, vimeo, etc., que, aunque inevitablemente un poco repetitivas, contienen muchas declaraciones que no están en sus escritos. He leído casi toda su obra, y he escuchado todas las conferencias, la mayoría de ellas 2 o 3 veces. Estos son de especial interés como (como Wittgenstein) que no lee de las notas, por lo que cada uno es único y no una réplica de un papel, y es un excelente orador extemporáneo que en su mayoría utiliza un lenguaje sin pretensiones (ambos tan diferentes de la mayoría de los demás). Las conferencias recientes dadas en las Universidades Europeas son magníficas, pero no te pierdas las antiguas como la conferencia de la BBC "Una realidad cambiante, la ciencia del comportamiento humano", que da un excelente relato de por qué la causalidad legítima y repetitiva del rápido cerebro sistema automático, no linguístico 1 (S1) es fundamentalmente diferente y no destacable de la misma manera que la complejidad ilimitada de razones que caracterizan el lento sistema deliberativo, consciente de la lengua 2 (S2), que genera una explosión combinatoria no generalmente representable de una manera útil por las leyes científicas. El sistema dual (S1, S2) método de describir el pensamiento utilizado en esta revisión, común a la investigación de razonamiento desde hace unos 20 años, es mío y no de Searle. Dado que recientemente he escrito un artículo de 75p analizando el trabajo de Searle en comparación con el de Wittgenstein (La estructura lógica de la filosofía, la psicología, la mente y el lenguaje como revelado por Ludwig Wittgenstein y John Searle) no lo repetiré y lo repetiré concentrarse en este libro solamente. (shrink)

What follows is a first step towards an ontology of conscious mental processes. We provide a theoretical foundation and characterization of conscious mental processes based on a realist theory of intentionality and using BFO as our top-level ontology. We distinguish three components of intentional mental process: character, directedness, and objective referent, and describe several features of the process character and directedness significant to defining and classifying mental processes. We arrive at the definition of representational mental process as a process that (...) is the bringing into being, sustaining, modifying, or terminating of a mental representation. We conclude by outlining some benefits and applications of this approach. (shrink)

This chapter argues that the only tenable unconscious inferences theories of cognitive achievement are ones that employ a theory internal technical notion of representation, but that once we give cash-value definitions of the relevant notions of representation and inference, there is little left of the ordinary notion of representation. We suggest that the real value of talk of unconscious inferences lies in (a) their heuristic utility in helping us to make fruitful predictions, such as about illusions, and (b) their providing (...) a high-level description of the functional organization of subpersonal faculties that makes clear how they equip an agent to navigate its environment and pursue its goals. (shrink)

Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that capture (...) different, cross-cutting patterns in cognitive phenomena. Which pattern is explanatory depends on both the cognitive phenomenon under investigation and the research interests occasioning the explanation. This reframing changes how we should answer the basic questions of which cognitive science approaches explain and how these explanations relate to one another. On this view, we should expect different approaches to offer independent explanations in terms of their different focal patterns and the value of those explanations to partly derive from the broad patterns they feature. (shrink)

Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function (e.g., Weiskopf, 2011). In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function (e.g., Piccinini & Craver, 2011; Povich, 2015). In this paper, I show how model-based cognitive neuroscience (MBCN) epitomizes the integrative mechanistic perspective and concentrates (...) the most revolutionary elements of the cognitive neuroscience revolution (Boone & Piccinini, 2016). I also show how the prominent subset account of functional realization supports the integrative mechanistic perspective I take on MBCN and use it to clarify the intralevel and interlevel components of integration. (shrink)

In fMRI research, the goal of correcting for multiple comparisons is to identify areas of activity that reflect true effects, and thus would be expected to replicate in future studies. Finding an appropriate balance between trying to minimize false positives (Type I error) while not being too stringent and omitting true effects (Type II error) can be challenging. Furthermore, the advantages and disadvantages of these types of errors may differ for different areas of study. In many areas of social neuroscience (...) that involve complex processes and considerable individual differences, such as the study of moral judgment, effects are typically smaller and statistical power weaker, leading to the suggestion that less stringent corrections that allow for more sensitivity may be beneficial, but also result in more false positives. Using moral judgment fMRI data, we evaluated four commonly used methods for multiple comparison correction implemented in SPM12 by examining which method produced the most precise overlap with results from a meta-analysis of relevant studies and with results from nonparametric permutation analyses. We found that voxel-wise thresholding with family-wise error correction based on Random Field Theory provides a more precise overlap (i.e., without omitting too few regions or encompassing too many additional regions) than either clusterwise thresholding, Bonferroni correction, or false discovery rate correction methods. (shrink)

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 (...) Hans Jonas in maintaining a phenomenological dimension to life-mind continuity among all living beings, sentient or non-sentient. I propose following Merleau-Ponty instead, who offers a properly phenomenological notion of sense-making for which sentience is a necessary condition. Against radicalist efforts to replace sense-making with a deflationary, naturalist conception of intentionality, I discuss the role of the phenomenological notion of sense-making for understanding animal behavior and experience. (shrink)

Philosophers of mind commonly draw a distinction between the personal level – the distinctive realm of conscious experience and reasoned deliberation – and the subpersonal level, the domain of mindless mechanism and brute cause and effect. Moreover, they tend to view cognitive science through the lens of this distinction. Facts about the personal level are given a priori, by introspection, or by common sense; the job of cognitive science is merely to investigate the mechanistic basis of these facts. I argue (...) that this view misrepresents the structure of cognitive-scientific enquiry. Taken at face value, cognitive science makes no commitment to the existence of a distinctive level at which persons or selves appear. Thus, in the age of cognitive science, we should not expect to find the self in an ontologically distinct realm. Instead, we should expect to locate it in cognitive-scientific models themselves. In closing, I indicate likely results of this approach. (shrink)

Despite their success in describing and predicting cognitive behavior, the plausibility of so-called ‘rational explanations’ is often contested on the grounds of computational intractability. Several cognitive scientists have argued that such intractability is an orthogonal pseudoproblem, however, since rational explanations account for the ‘why’ of cognition but are agnostic about the ‘how’. Their central premise is that humans do not actually perform the rational calculations posited by their models, but only act as if they do. Whether or not the problem (...) of intractability is solved by recourse to ‘as if’ explanations critically depends, inter alia, on the semantics of the ‘as if’ connective. We examine the five most sensible explications in the literature, and conclude that none of them circumvents the problem. As a result, rational ‘as if’ explanations must obey the minimal computational constraint of tractability. (shrink)

One question of the bounds of cognition is that of which things have it. A scientifically relevant debate on this question must explain the persistent and selective use of psychological predicates to report findings throughout biology: for example, that neurons prefer, fruit flies and plants decide, and bacteria communicate linguistically. This paper argues that these claims should enjoy default literal interpretation. An epistemic consequence is that these findings can contribute directly to understanding the nature of psychological capacities.

Rational analysis is an influential but contested account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind. In this paper, I disentangle and assess several possible explanatory contributions which could be attributed to rational analysis. Although existing models suffer from evidential problems that question their explanatory power, I argue that rational analysis modeling can complement mechanistic theorizing by providing models of environmental affordances.

The new paradigm in the psychology of reasoning draws on Bayesian formal frameworks, and some advocates of the new paradigm think of these formal frameworks as providing a computational-level theory of rational human inference. I argue that Bayesian theories should not be seen as providing a computational-level theory of rational human inference, where by “Bayesian theories” I mean theories that claim that all rational credal states are probabilistically coherent and that rational adjustments of degrees of belief in the light of (...) new evidence must be in accordance with some sort of conditionalization. The problems with the view I am criticizing can best be seen when we look at chains of inferences, rather than single-step inferences. Chains of inferences have been neglected almost entirely within the new paradigm. (shrink)

In her re-analysis of the evidence presented in Klein and Nichols (2012) to support their argument that patient R.B. temporarily lost possessory custody of consciously apprehended objects (in this case, objects that normally would be non-inferentially taken as episodic memory), Professor Roache concludes Klein and Nichols's claims are untenable. I argue that Professor Roache is incorrect in her re-interpretation, and that this is due, in part, to lack of sufficient familiarity with psychological theory on memory as well as clinical literature (...) on felt loss of ownership of one’s intentional objects. (shrink)

We overview the main historical and technological elements characterising the rise, the fall and the recent renaissance of the cognitive approaches to Artificial Intelligence and provide some insights and suggestions about the future directions and challenges that, in our opinion, this discipline needs to face in the next years.

In The Innocent Eye, Nico Orlandi argues that vision is not a cognitive process. In particular, she argues that forming subject-level visual representations that are available for reasoning should not itself be understood as a process of inference. This comes to the claim that vision (properly so-called) is a process that produces representations but is not best understood as a process that uses representations.

John Bickle recently proposed a metascientific reading of certain neuroscientific practices related to phenomena traditionally studied by psychology. According to this view, the dominant explanatory proceeding in neuroscience is to apply empirical reductions to explain psychological phenomena in cellular and molecular terms, relegating the role of psychology to a mere heuristic, without explanatory power. Thus, according to the strength of the conclusions reached by this method, it puts in check the value of psychological functional explanations. In this work, we seek (...) to reformulate some of these challenging proposals in philosophy of neuroscience. To this end, the main weaknesses of Bickle's proposal will be shown. Also, here will put into perspective some (reductionist, eliminativists?) features of ruthless reductionism, showing that this model maybe represent only a reading of the pragmatic use of certain methods in neuroscience, rather than a statement of principles generalizable to all cognitive science. (shrink)

(June 2013) “The mind-body problem in cognitive neuroscience”, Philosophia Scientiae 17/2, Gabriel Vacariu and Mihai Vacariu (eds.): 1. William Bechtel (Philosophy, Center for Chronobiology, and Interdisciplinary Program in Cognitive Science University of California, San Diego) “The endogenously active brain: the need for an alternative cognitive architecture” 2. Rolls T. Edmund (Oxford Centre for Computational Neuroscience, Oxford, UK) “On the relation between the mind and the brain: a neuroscience perspective” 3. Cees van Leeuwen (University of Leuven, Belgium; Riken Brain Science Institute, (...) Japan) “Brain and mind” 4. Kari Theurer (Trinity College) and John Bickle (Philosophy, Mississippi State University) “What’s old is new again: Kemeny-Oppenheim reduction at work in current molecular neuroscience” 5. Bernard Andrieu (Staps Université de Lorraine) “Sentir son cerveau? Les dispositifs neuro-expérientiels en 1er personne” 6. Corey Maley and Gualtiero Piccinini (Philosophy, University of Missouri – St. Louis) “Get the latest upgrade: Functionalism 6.3.1” 7. Paula Droege (Philosophy, Pennsylvania State University) “Memory and consciousness” 8. Gabriel Vacariu and Mihai Vacariu (Philosophy, University of Bucharest) “Troubles with cognitive neuroscience”. (shrink)

Is any unified theory of brain function possible? Following a line of thought dat- ing back to the early cybernetics (see, e.g., Cordeschi, 2002), Clark (in press) has proposed the action-oriented Hierarchical Predictive Coding (HPC) as the account to be pursued in the effort of gain- ing the “Grand Unified Theory of the Mind”—or “painting the big picture,” as Edelman (2012) put it. Such line of thought is indeed appealing, but to be effectively pursued it should be confronted with experimental (...) findings and explana- tory capabilities (Edelman, 2012). The point we are making in this note is that a brain with predictive capa- bilities is certainly necessary to endow the agent situated in the environment with forethought or foresight, a crucial issue to outline the unified account advocated by Clark. But the capacity for fore- thought is deeply entangled with the capacity for emotions and when emotions are brought into the game, cogni- tive functions become part of a large-scale functional brain network. However, for such complex networks a consistent view of hierarchical organization in large-scale functional networks has yet to emerge (Bressler and Menon, 2010), whilst heterarchical organization is likely to play a strategic role (Berntson et al., 2012). This raises the necessity of a multilevel approach that embraces causal relations across levels of explanation in either direc- tion (bottom–up or top–down), endorsing mutual calibration of constructs across levels (Berntson et al., 2012). Which, in turn, calls for a revised perspective on Marr’s levels of analysis framework (Marr, 1982). In the following we highlight some drawbacks of Clark’s proposal in address- ing the above issues. (shrink)

In this paper, I claim that the personal/subpersonal distinction is first and foremost a distinction between two kinds of psychological theory or explanation: it is only in this form that we can understand why the distinction was first introduced, and how it continues to earn its keep. I go on to examine the different ontological commitments that might lead us from the primary distinction between personal and subpersonal explanations to a derivative distinction between personal and subpersonal states. I argue that (...) on one of the most common metaphysical interpretations of the explanatory distinction, talk of a distinction between personal and subpersonal states simply makes no sense. When people insist on applying the personal/subpersonal terminology to psychological states, I allow that they are often making a genuine distinction, but one that it is best understood in terms of Stich's (1978) distinction between doxastic and subdoxastic states. I end the paper by considering some other common misinterpretations of the personal/subpersonal distinction, such as those involving consciousness, normativity, or autonomy. (shrink)

The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that corresponding (...) conceptions are rooted in four different aspects of our common-sense conception of mental phenomena and their explanation, which are illegitimately transferred to scientific enquiry. These four aspects pertain to the notion of explanation, to conceptions about which mental phenomena are singled out for enquiry, to an inductivist epistemology, and, in the wake of behavioristic conceptions, to a bias favoring investigations of input–output relations at the expense of enquiries into internal principles. To the extent that the cognitive neurosciences methodologically adhere to these tacit assumptions, they are prone to turn into a largely a-theoretical and data - driven endeavor while at the same time enhancing the prospects for receiving widespread public appreciation of their empirical findings. (shrink)

Many cognitive scientists, having discovered that some computational-level characterization f of a cognitive capacity φ is intractable, invoke heuristics as algorithmic-level explanations of how cognizers compute f. We argue that such explanations are actually dysfunctional, and rebut five possible objections. We then propose computational-level theory revision as a principled and workable alternative.

In Rahul Banerjee and Bikas K. Chakrabarti (eds.), Progress in Brain Research, 168: 215-246. Amsterdam: Elsevier. Electronic offprint available upon request.

As much as assumptions about mechanisms and mechanistic explanation have deeply affected psychology, they have received disproportionately little analysis in philosophy. After a historical survey of the influences of mechanistic approaches to explanation of psychological phenomena, we specify the nature of mechanisms and mechanistic explanation. Contrary to some treatments of mechanistic explanation, we maintain that explanation is an epistemic activity that involves representing and reasoning about mechanisms. We discuss the manner in which mechanistic approaches serve to bridge levels rather than (...) reduce them, as well as the different ways in which mechanisms are discovered. Finally, we offer a more detailed example of an important psychological phenomenon for which mechanistic explanation has provided the main source of scientific understanding. (shrink)

If Mont Blanc is a vague object, then its vagueness will depend on the context in which reference is made. In a geological context the mountain might include only rock, perhaps together with a certain amount of air in the crevices and tunnels which have been formed beneath its surface. In a context of soil chemistry we might include also a surrounding thin layer of organic matter. In a skiing context we might include some snow. This essay sketches in informal (...) terms the theory of granular partitions, which is designed to do justice to this context-dependence of vagueness by means of what might be described as a contextualized supervaluationism. Granularity and vagueness, it is argued, are two sides of a single coin: what is vague at one level of granularity may appear crisp at another. The resultant theory can be shown to resolve certain problems in our description of perceptual content, for example when John says that he sees the wall, but that he does not see the molecules by which the wall is constituted. (shrink)

Introduction: the neuroscientific turn in political science The observation that brains and political orders are interdependent is almost trivial. Obviously, political orders require brain processes in order to emerge and to remain in place, as these processes enable action and cognition. Conversely, every since Aristotle coined man as “by nature a political animal” (Aristotle, Pol.: 1252a 3; cf. Eth. Nic.: 1097b 11), this also suggests that the political engagements of this animal has likely consequences for its natural development, including the (...) development of its psychological functions. Given these mutual interdependencies, it is remarkable that only since the 1960s, the more general domain of ‘biopolitics’ has attracted attention though first particularly in the form of behavioral politics (Alford and Hibbing). Since then biopolitics has gained in interest, so much so that different subdomains can be identified. Indeed, a 2008 review of the field of biopolitics identified five ‘headings’ of it: “(1) the case for a ‘more biologically oriented political science’, (2) ‘biologically related’ public policy issues, (3) physiological measures of political attitudes and behaviour, (4) the influence of physiological factors on actual political behaviour, and (5) the manner in which our species’ evolutionary history has left homo sapiens genetically endowed with certain social and political behavioural tendencies” (Somit and Peterson 43). Striking is how the relation between biology and politics is taken here in a rather unidirectional way, emphasizing particularly the decisive power of biology upon politics. The reverse relation is not mentioned specifically, reflecting the field of biopolitics, perhaps until quite recently. This absence of studies of political influences on our biology may have to do with the difficulty in investigating such influences. Empirical studies in biopolitics have two foci, broadly speaking: genetics and the brain, both of which have turned out to be complex and dynamic phenomena (Alford and Hibbing). Yet the studies of genetics and brain processes have made much progress in the last few decades, thanks to the development of research instruments - like fMRI brain scanners and TMS brain stimulation instruments - and of computational tools for data analysis and the simulation of explanatory models. For the field of biopolitics it is particularly relevant that within cognitive neuroscience the study of social and political issues has witnessed an increasing interest of researchers even more recently. Indeed, aware of the enabling and mediating role of the brain regarding those issues, a truly ‘neuroscientific turn’ can be observed in the social sciences, testified for example by the emergence of the field of ‘neuropolitics’ (Connolly; Vandervalk). Developing a systematic neuropolitics or biopolitics in general is a difficult challenge because of the wealth of causal influences on and interdependencies between biological, brain, cognitive and socio-political factors. Taking a somewhat more abstract perspective, this paper focuses on the process of emerging complexity in adaptive systems, enabling those to conduct ever more complex processes. Yet, parallel to that development can be observed that such systems, or organisms, are also capable in reducing the complexity of the information they are to process. Once they’re capable of developing and adjusting such compressed and complex representations of information, those systems or organisms can handle more information faster and more efficient and adaptive, yielding important benefits to the organism in navigating its environment (Halford, Wilson and Phillips). Before focusing on the role of narrative as a cognitive strategy for such a reduction of informational complexity, I will discuss the development of stable structures and increasing complexity in dynamic systems. Such a more general perspective prepares our discussion of the structures of both narratives and politics and in doing so contributes to the explanation of their interaction. (shrink)