Following in a psychological and musicological tradition beginning with Leonard Meyer, and continuing through David Huron, we present a functional, cognitive account of the phenomenon of expectation in music, grounded in computational, probabilistic modeling. We summarize a range of evidence for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and argue that simulating expectation is an important part of understanding a broad range of human faculties, in music and beyond.

How do people detect mental dysfunction? What is the influence of cultural models of dysfunction on this detection process? The detection process as such is not usually researched as it falls between the domains of cross-cultural psychiatry and anthropological ethno-psychiatry . I provide a general model for this “missing link” between behavior and cultural models, grounded in empirical evidence for intuitive psychology. Normal adult minds entertain specific intuitive expectations about mental function and behavior, and by implication they infer that (...) specific kinds of behavior are the result of underlying dysfunction. This suggests that there is a “catalogue” of possible behaviors that trigger that intuition, hence a limited catalogue of possible symptoms that feed into culturally specific folk-understandings of mental disorder. It also suggests that some mental dysfunctions, as they do not clearly violate principles of intuitive psychology, are “invisible” to folk-understandings. This perspective allows us to understand the cultural stability and spread of particular views of madness. It also suggests why certain types of mental disorder are invisible to folk-understandings. (shrink)

A recent discussion on cognitive enhancers has caused some controversy in the ethics and neuroscience fields by coming out in favour of making neuropharmaceuticals with enhancing properties available for general consumption. We highlight in this brief commentary why concerns regarding efficacy and safety, demands on resources, and public health are substantive enough to warrant serious reconsideration before pharmaceutical performance enhancement can be widely supported.

Color conveys critical information about the flavor of food and drink by providing clues as to edibility, flavor identity, and flavor intensity. Despite the fact that more than 100 published papers have investigated the influence of color on flavor perception in humans, surprisingly little research has considered how cognitive and contextual constraints may mediate color–flavor interactions. In this review, we argue that the discrepancies demonstrated in previously-published color–flavor studies may, at least in part, reflect differences in the sensory (...) class='Hi'>expectations that different people generate as a result of their prior associative experiences. We propose that color–flavor interactions in flavor perception cannot be understood solely in terms of the principles of multisensory integration but that the role of higher-level cognitive factors, such as expectations, must also be considered. (shrink)

Music can be described as sequences of events that are structured in pitch and time. Studying music processing provides insight into how complex event sequences are learned, perceived, and represented by the brain. Given the temporal nature of sound, expectations, structural integration, and cognitive sequencing are central in music perception (i.e., which sounds are most likely to come next and at what moment should they occur?). This paper focuses on similarities in music and language cognition research, showing that (...) music cognition research provides insight into the understanding of not only music processing but also language processing and the processing of other structured stimuli. The hypothesis of shared resources between music and language processing and of domain-general dynamic attention has motivated the development of research to test music as a means to stimulate sensory, cognitive, and motor processes. (shrink)

It is thought that just as hunger itself, the expectancy to eat impacts attention and cognitive control toward food stimuli, but this theory has not been extensively explored at a behavioral level. In order to study the effect of expectancy to eat on attentional and cognitive control mechanisms, 63 healthy fasting participants were presented with an affective priming spatial compatibility Simon task that included both food and object distracters. The participants were randomly assigned to two groups: an “immediate (...) expectancy” group made up of participants who expected to eat immediately after the task and a “delayed expectancy” cohort made up of individuals who expected to eat a few hours later. Slower reaction times toward the food and non-food distracters and a more pronounced effect on the RTs in the incompatible condition [i.e., the Simon effect ] were noted in both groups. The effect of the food and non-food distracters on the RTs was more pronounced in the immediate with respect to the delayed expectancy group. The magnitude of the SE for the food and the non-food distracters was also greater in the immediate with respect to the delayed expectancy group. These results seem to indicate that when the expectancy to eat is short, the RTs are delayed, and the SE is more pronounced when food and non-food distracters are presented. Instead, when the expectancy to eat is more distant, the distracters have less of an effect on the RTs and the correspondence effect is smaller. Our results suggest that the expectancy to eat can modulate both attention orienting and cognitive control mechanisms in healthy fasting individuals when distracting details are competing with information processing during goal directed behavior. (shrink)

Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 4 Seiten: 493-505.

This paper argues that neurolinguistics has the potential to yield insights that can feed back into corpus-based Cognitive Linguistics. It starts by discussing how far the cognitive realism of probabilistic statements derived from corpus data currently goes. Against this background, it argues that the cognitive realism of usage-based models could be further enhanced through deeper engagement with neurolinguistics, but also highlights a number of common misconceptions about what neurolinguistics can and cannot do for linguistic theorizing.

This study examines how heightened expectations of board responsibility and accountability affect the socio-cognitive decision-making of boards and their collective task performance. Using data from the directors of 60 boards who served before and after the enactment of Sarbanes–Oxley, this study provides insight into the potential negative impact that this tightened accountability environment can have on a board’s task performance. Examining several socio-cognitive elements of board decision-making, board authority is found to have a positive main effect on (...) board task performance, while relative CEO power and affective conflict have curvilinear relationships with board task performance. Cohesiveness also moderates the relationship between a board’s perceived uncertainty and affective conflict with board task performance. In sum, the model shows how a new era of director accountability can affect the social cognitions of board decision-making that underlie board task performance. (shrink)

Cognitive heuristics, as proffered by Daniel Kahneman and Amos Tversky, are reasoning shortcuts that are useful but flawed. For example, the availability heuristic “infers” an event’s probability, not by performing laborious, ideally rational calculations, but by simply assessing the ease with which similar events can be recalled. Cognitive psychologists presume that cognitive heuristics should be identified with a distinct cognitive mechanism. I argue that this is a mistake ultimately stemming from descriptive rational choice theory’s entangling of (...) descriptive and normative theorizing. Such mechanism-identification is a desideratum for kinds used in answering, “How—in a causal-mechanical sense—do we reason?” However, cognitive heuristics befit a different question, namely, “How—in a contrastive sense—do we reason vis-à-vis ideal rationality?” Clarifying cognitive heuristics’ nature and appropriate explanatory expectations can enhance understanding, provide lessons applicable elsewhere, and illuminate an important episode in the history of cognitive psychological science. (shrink)

What is ‘counterintuitive’? There is general agreement that it refers to a violation of previously held knowledge, but the precise definition seems to vary with every author and study. The aim of this paper is to deconstruct the notion of ‘counterintuitive’ and provide a more philosophically rigorous definition congruent with the history of psychology, recent experimental work in ‘minimally counterintuitive’ concepts, the science vs. religion debate, and the developmental and evolutionary background of human beings. We conclude that previous definitions of (...) counterintuitiveness have been flawed and did not resolve the conflict between a believer’s conception of the supernatural entity (an atypical “real kind”) and the non-believer’s conception (empty name/fictional). Furthermore, too much emphasis has been placed on the universality and (presumed) innateness of intuitive concepts (and hence the criteria for what is counterintuitive)—and far too little attention paid to learning and expertise. We argue that many putatively universal concepts are not innate, but mostly learned and defeasible—part of a religious believer’s repertoire of expert knowledge. Nonetheless, the results from empirical studies about the memorability of counterintuitive concepts have been convincing and it is difficult to improve on existing designs and methodologies. However, future studies in counterintuitive concepts need to embed their work in research about context effects, typicality, the psychology of learning and expertise (for example, the formation of expert templates and range defaults), with more attention to the sources of knowledge (direct and indirect knowledge) and a better idea of what ‘default’ knowledge really is. (shrink)

Minimizing the costs that others impose upon oneself and upon those in whom one has a fitness stake, such as kin and allies, is a key adaptive problem for many organisms. Our ancestors regularly faced such adaptive problems (including homicide, bodily harm, theft, mate poaching, cuckoldry, reputational damage, sexual aggression, and the infliction of these costs on one's offspring, mates, coalition partners, or friends). One solution to this problem is to impose retaliatory costs on an aggressor so that the aggressor (...) and other observers will lower their estimates of the net benefits to be gained from exploiting the retaliator in the future. We posit that humans have an evolved cognitive system that implements this strategy – deterrence – which we conceptualize as a revenge system. The revenge system produces a second adaptive problem: losing downstream gains from the individual on whom retaliatory costs have been imposed. We posit, consequently, a subsidiary computational system designed to restore particular relationships after cost-imposing interactions by inhibiting revenge and motivating behaviors that signal benevolence for the harmdoer. The operation of these systems depends on estimating the risk of future exploitation by the harmdoer and the expected future value of the relationship with the harmdoer. We review empirical evidence regarding the operation of these systems, discuss the causes of cultural and individual differences in their outputs, and sketch their computational architecture. (shrink)

This work draws an analogical defence of strong emotionism—the metaethical claim that moral properties and concepts consist in the propensity of actions to elicit emotional responses from divergent emotional perspectives. I offer a theory that is in line with that of Prinz. I build an analogy between moral properties and what I call emotion-dispositional properties. These properties are picked out by predicates such as ‘annoying’, ‘frightening’ or ‘deplorable’ and appear to be uncontroversial and frequent cases of attribution error—the attributing of (...) subjective emotional states as mind-independent properties. I present a linguistic analysis supporting the claim that moral properties and their related concepts are reducible to a subset of emotion-dispositional properties and concepts. This is grounded in the observation that utterances featuring moral predicates function linguistically and conceptually in analogous ways to emotion-dispositional predicates. It follows from this view that asserted moral utterances are truth-apt relative to ethical communities, but that speakers misconceive the extensions of predicates. I show how the framework of Cognitive Linguistics allows us to explain this error. Further analysis of moral and non-moral utterances exposes the deeper conceptual schemas structuring language through cognitive construal processes. An understanding of these processes, coupled with an emotionist elucidation of moral properties and concepts, makes the attribution error an expected upshot of the emotionist thesis, rather than an uncomfortable consequence. (shrink)

Zenon Pylyshyn argues that cognitively driven attentional effects do not amount to cognitive penetration of early vision because such effects occur either before or after early vision. Critics object that in fact such effects occur at all levels of perceptual processing. We argue that Pylyshyn’s claim is correct—but not for the reason he emphasizes. Even if his critics are correct that attentional effects are not external to early vision, these effects do not satisfy Pylyshyn’s requirements that the effects be (...) direct and exhibit semantic coherence. In addition, we distinguish our defense from those found in recent work by Raftopoulos and by Firestone and Scholl, argue that attention should not be assimilated to expectation, and discuss alternative characterizations of cognitive penetrability, advocating a kind of pluralism. (shrink)

Discovering the meaning of novel communicative cues is challenging and amounts to navigating an unbounded hypothesis space. Several theories posit that this problem can be simplified by relying on positive expectations about the cognitive utility of communicated information. These theories imply that learners should assume that novel communicative cues tend to have low processing costs and high cognitive benefits. We tested this hypothesis in three studies in which toddlers (N = 90) searched for a reward hidden in (...) one of several containers. In all studies, an adult communicated the reward's location with an unfamiliar and ambiguous cue. We manipulated the processing costs (operationalized as inferential chain length) and cognitive benefits (operationalized as informativeness) of the possible interpretations of the cues. Toddlers processing of novel communicative cues were guided by expectations of low processing costs (Study 1) and high cognitive benefits (Studies 2 and 3). More specifically, toddlers treated novel cues as if they were easy to process, informative, and accurate, even when provided with repeated evidence to the contrary. These results indicate that, from toddlerhood onward, expectations of cognitive utility shape the processing of novel communicative cues. These data also reveal that toddlers, who are in the process of learning the language and communicative conventions of people around them, exert a pressure favoring cognitive efficiency in communicative systems. (shrink)

Animal welfare scientists face an acute version of the problem of inductive risk, since they must choose whether to affirm attributions of mental states to animals in advisory contexts, knowing their decisions hold consequences for animal welfare. In such contexts, the burden of proof should be sensitive to the consequences of error, but a framework for setting appropriate burdens of proof is lacking. Through reflection on two cases—pain and cognitive enrichment—I arrive at a tentative framework based on the principle (...) of expected welfare maximization. I then discuss the limitations of this framework and the questions it leaves open. (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)

There is substantial support for the general idea that a formalization of comprehenders' expectations about the likely next word in a sentence helps explaining data related to online sentence processing. While much research has focused on syntactic, semantic, and discourse expectations, the present event‐related potentials (ERPs) study investigates neurolinguistic correlates of pragmatic expectations, which arise when comprehenders expect a sentence to conform to Gricean Maxims of Conversation. For predicting brain responses associated with pragmatic processing, we introduce a (...) formal model of such Gricean pragmatic expectations, using an idealized incremental interpreter. We examine whether pragmatic expectancies derived from this model modulate the amplitude of the N400, a component that has been associated with predictive processing. As part of its parameterization, the model distinguishes genuine pragmatic interpreters, who expect maximally informative true utterances, from literal interpreters, who only expect truthfulness. We explore the model's non‐trivial predictions for an experimental setup which uses picture‐sentence verification with ERPs recorded at several critical positions in sentences containing the scalar implicature trigger some. We find that Gricean expectations indeed affect the N400, largely in line with the predictions of our model, but also discuss discrepancies between model predictions and observations critically. (shrink)

If our experiences are cognitively penetrable, they can be influenced by our antecedent expectations, beliefs, or other cognitive states. Theorists such as Churchland, Fodor, Macpherson, and Siegel have debated whether and how our cognitive states might influence our perceptual experiences, as well as how any such influences might affect the ability of our experiences to justify our beliefs about the external world. This article surveys views about the nature of cognitive penetration, the epistemological consequences of denying (...) cognitive penetration, and the epistemological consequences of affirming cognitive penetration. (shrink)

ABSTRACT Cognitive penetrability refers to the possibility that perceptual experiences are influenced by our beliefs, expectations, emotions, or other personal-level mental states. In this paper, I focus on the epistemological implication of cognitive penetration, and examine how, exactly, aetiologies matter to the justificatory power of perceptual experiences. I examine a prominent theory, according to which some cognitively penetrated perceptual experiences are like conclusions of bad inferences. Whereas one version of this theory is psychologically implausible, the other version (...) has sceptical consequences. In the second half of the paper, I suggest an alternative theory, drawing on recent empirical research on imagining-perception interaction and the epistemology of imagining. (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)

Predictive processing has begun to offer new insights into the nature of conscious experience—but the link is not straightforward. A wide variety of systems may be described as predictive machines, raising the question: what differentiates those for which it makes sense to talk about conscious experience? One possible answer lies in the involvement of a higher-order form of prediction error, termed expected free energy. In this paper we explore under what conditions the minimization of this new quantity might underpin conscious (...) experience. Our suggestion is that the minimisation of Expected Free Energy is not in itself sufficient for the occurrence of conscious experience. Instead, it is relevant only insofar as it helps deliver what Ward et al. ( 2011 ) have previously described as a _sense of our own poise over an action space_. Perceptual experience, we will argue, is nothing other than the process that puts current actions in contact with goals and intentions, enabling some creatures to know the space of options that their current situation makes available. This proposal fits with recent work suggesting a deep link between conscious contents and contents computed at an ‘intermediate’ level of processing, apt for controlling action. (shrink)

Jerry Fodor deemed informational encapsulation ‘the essence’ of a system’s modularity and argued that human perceptual processing comprises modular systems, thus construed. Nowadays, his conclusion is widely challenged. Often, this is because experimental work is seen to somehow demonstrate the cognitive penetrability of perceptual processing, where this is assumed to conflict with the informational encapsulation of perceptual systems. Here, I deny the conflict, proposing that cognitive penetration need not have any straightforward bearing on the conjecture that perceptual processing (...) is composed of nothing but informationally encapsulated modules, the conjecture that each and every perceptual computation is performed by an informationally encapsulated module, and the consequences perceptual encapsulation was traditionally expected to have for a perception-cognition border, the epistemology of perception and cognitive science. With these points in view, I propose that particularly plausible cases of cognitive penetration would actually seem to evince the encapsulation of perceptual systems rather than refute/problematize this conjecture. (shrink)

The well-known distinction between access consciousness and phenomenal consciousness has moved away from the conceptual domain into the empirical one, and the debate now is focused on whether the neural mechanisms of cognitive access are constitutive of the neural correlate of phenomenal consciousness. In this paper, I want to analyze the consequences that a negative reply to this question has for the cognitive phenomenology thesis – roughly the claim that there is a “proprietary” phenomenology of thoughts. If the (...) mechanisms responsible for cognitive access can be disentangled from the mechanisms that give rise to phenomenology in the case of perception and emotion, then the same disentanglement is to be expected in the case of thoughts. This, in turn, presents, as I argue, a challenge to the cognitive phenomenology thesis: either there are thoughts with cognitive phenomenology we lack cognitive access to or there are good reasons to doubt that there is such a thing as cognitive phenomenology. I discuss a... (shrink)

This study explores consumer expectations and attitudes related to gender-based price discrimination. Although much research has focused on pay inequalities and gender diversity, considerably less attention has been focused on situations in which men and women are charged different prices based on gender. In two studies, expectations and attitudes toward gender-based price discrimination are examined. In Study 1, two scenarios related to prices at hair salon and dry cleaning services were manipulated to measure expectations and attitudes toward (...) gender-based price discrimination. We found that the nature of the service results in expectations of price differences between men and women. We also found men expect gender-based pricing more than women. In Study 2, qualitative research was conducted to reveal the cognitions that men and women experience when exposed to gender-based price discrimination. (shrink)

Presents results of free‐recall experiments conducted in France, Gabon and Nepal, to test predictions of a cognitive model of religious concepts. The world over, these concepts include violations of conceptual expectations at the level of domain knowledge (e.g., about ‘animal’ or ‘artifact’ or ‘person’) rather than at the basic level. In five studies we used narratives to test the hypothesis that domain‐level violations are recalled better than other conceptual associations. These studies used material constructed in the same way (...) as religious concepts, but not used in religions familiar to the subjects. Experiments 1 and 2 confirmed a distinctiveness effect for such material. Experiment 3 shows that recall also depends on the possibility to generate inferences from violations of domain expectations. Replications in Gabon (Exp. 4) and Nepal (Exp. 5) showed that recall for domain‐level violations is better than for violations of basic‐level expectations. Overall sensitivity to violations is similar in different cultures and produces similar recall effects, despite differences in commitment to religious belief, in the range of local religious concepts or in their mode of transmission. However, differences between Gabon and Nepal results suggest that familiarity with some types of domain‐level violations may paradoxically make other types more salient. These results suggest that recall effects may account for the recurrent features found in religious concepts from different cultures. (shrink)

Cost, expected benefits, and risks are paramount in grant agencies' decisions to fund scientific research. In _Cognitive Economy,_ Nicholas Rescher outlines a general theory for the cost-effective use of intellectual resources, amplifying the theories of Charles Sanders Pierce, who stressed an “economy of research.” Rescher discusses the requirements of cooperation, communication, cognitive importance, cognitive economy, as well as the economic factors bearing on induction and simplicity. He then applies his model to several case studies and to clarifying the (...) limits imposed on science by economic considerations. (shrink)

Prediction‐based processes appear to play an important role in language. Few studies, however, have sought to test the relationship within individuals between prediction learning and natural language processing. This paper builds upon existing statistical learning work using a novel paradigm for studying the on‐line learning of predictive dependencies. Within this paradigm, a new “prediction task” is introduced that provides a sensitive index of individual differences for developing probabilistic sequential expectations. Across three interrelated experiments, the prediction task and results thereof (...) are used to bridge knowledge of the empirical relation between statistical learning and language within the context of nonadjacency processing. We first chart the trajectory for learning nonadjacencies, documenting individual differences in prediction learning. Subsequent simple recurrent network simulations then closely capture human performance patterns in the new paradigm. Finally, individual differences in prediction performances are shown to strongly correlate with participants’ sentence processing of complex, long‐distance dependencies in natural language. (shrink)

Since the early Gestaltists there has been a strong interest in the question of how problem solvers get stuck in a mental impasse. A key idea is that the repeated activation of a successful strategy from the past results in a mental set (‘Einstellung’) which determines and constrains the option space to solve a problem. We propose that this phenomenon, which mostly was tested by fairly restricted experiments in the lab, could also be applied to more complex problem constellations and (...) naturalistic decision making. We aim at scrutinizing and reconstructing how a mental set determines the misinterpretation of facts in the field of political decision making and leads in consequence to wrong expectations and an ill-defined problem representation. We will exemplify this psychological mechanism considering a historical example, namely the unexpected stabilization of the Franco regime at the end of World War II and its survival thereafter. A specific focus will be drawn to the significant observation that erroneous expectations were taken as the basis for decisions. This is congruent with the notion that in case of discrepancy between preconceived notions and new information, the former prevails over the new findings. Based on these findings, we suggest a theoretical model for expectation violation in political decision making and develop novel approaches for cognitive empirical research on the mechanisms of expectation violation and its maintenance in political decision making processes. (shrink)

Disparate theoretical viewpoints construe hypnotic suggestibility either as a stable trait, largely determined by underlying cognitive aptitude, or as a flexible skill amenable to attitudinal factors including beliefs and expectations. Circumscribed findings support both views. The present study attempted to consolidate these orthogonal perspectives through the lens of expectancy modification. We surreptitiously controlled light and sound stimuli to convince participants that they were responding strongly to hypnotic suggestions for visual and auditory hallucinations. Extending our previous findings, we indexed (...) hypnotic suggestibility by de-automatizing an involuntary audiovisual phenomenon—the McGurk effect. Here we show that, regardless of expectancy modification, the experimental procedure led to heightened expectations concerning future hypnotic response. We found little effect of expectation, however, on actual response to suggestion. Our findings intimate that, at least in the present experimental context, expectation hardly correlates with—and is unlikely to be a primary determinant of—high hypnotic suggestibility. (shrink)

If we are flexible, hybrid and unfinished creatures that tend to incorporate or at least employ technological artefacts in our cognitive lives, then the sort of technological regime we live under should shape the kinds of minds we possess and the sorts of beings we are. E-Memory consists in digital systems and services we use to record, store and access digital memory traces to augment, re-use or replace organismic systems of memory. I consider the various advantages of extended and (...) embedded approaches to cognition in making sense of E-Memory and some of the problems that debate can engender. I also explore how the different approaches imply different answers to questions such as: does our use of internet technology imply the diminishment of ourselves and our cognitive abilities? Whether or not our technologies can become actual parts of our minds, they may still influence our cognitive profile. I suggest E-Memory systems have four factors: totality, practical cognitive incorporability, autonomy and entanglement which conjointly have a novel incorporation profile and hence afford some novel cognitive possibilities. I find that thanks to the properties of totality and incorporability we can expect an increasing reliance on E-Memory. Yet the potentially highly entangled and autonomous nature of these technologie pose questions about whether they should really be counted as proper parts of our minds. (shrink)

This paper motivates taking seriously the possibility that brains are basically protean: that they make use of neural structures in inventive, on-the-fly improvisations to suit circumstance and context. Accordingly, we should not always expect cognition to divide into functionally stable neural parts and pieces. We begin by reviewing recent work in cognitive ontology that highlights the inadequacy of traditional neuroscientific approaches when it comes to divining the function and structure of cognition. Cathy J. Price and Karl J. Friston, and (...) Colin Klein identify the limitations of relying on forward and reverse inferences to cast light on the relation between cognitive functions and neural structures. There is reason to prefer Klein’s approach to that of Price and Friston’s. But Klein’s approach is neurocentric - it assumes that we ought to look solely at neural contexts to fix cognitive ontology. Using recent work on mindreading as a case study, we motivate adopting a radically different approach to cognitive ontology. Promoting the Protean Brain Hypothesis, we posit the possibility that we may need to look beyond the brain when deciding which functions are being performed in acts of cognition and in understanding how the brain contributes to such acts by adapting to circumstance. (shrink)

Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the (...) upper millstone of a complex environment in which they exist. Systems that are adaptive may equally well be described as “artificial,” for as environments change, they can be expected to change too, as though they were deliberately designed to fit those environments (as indeed they sometimes are).The task of empirical science is to discover and verify invariants in the phenomena under study. The artificiality of information processing systems creates a subtle problem in defining empirical invariants in such systems. For observed regularities are very likely invariant only within a limited range of variation in their environments, and any accurate statement of the laws of such systems must contain reference to their relativity to environmental features. It is a common experience in experimental psychology, for example, to discover that we are studying sociology—the effects of the past histories of our subjects—when we think we are studying physiology—the effects of properties of the human nervous system. Similarly, business cycle economists are only now becoming aware of the extent to which the parameters of the system they are studying are dependent on the experiences of a population with economic events over the previous generation.In artificial sciences, the descriptive and the normative are never far apart. Thus, in economics, the “principle of rationality” is sometimes asserted as a descriptive invariant, sometimes as advice to decision makers. Similarly, in psychology, the processes of adaptation (learning) have always been a central topic, at one time a topic that dominated the whole field of research. Linguistics, too, has suffered its confusions between descriptive and normative attitudes towards its subject. But we must avoid the error, in studying information processing systems, of thinking that the adaptive processes themselves must be invariant; and we must be prepared to face the complexities of regression in the possibility that they themselves may be subject to improvement and adaptation.It might have been necessary a decade ago to argue for the commonality of the information processes that are employed by such disparate systems as computers and human nervous systems. The evidence for that commonality is now overwhelming, and the remaining questions about the boundaries of cognitive science have more to do with whether there also exist nontrivial commonalities with information processing in genetic systems than with whether men and machines both think. (shrink)