La búsqueda de justificación epistémica para los presupuestos metodológicos y axiológicos más básicos de la ciencia ha de enfrentarse al trilema de Agrippa. Se argumenta que la regresión al infinito -aun si esta regresión es solo potencial- y la circularidad no son las mejores alternativas del trilema y que el mejor disyunto es un dogmatismo minimalista, siendo uno de sus dogmas el siguiente condicional: Si nuestros presupuestos metodológicos y axiológicos más básicos de carácter científico fuesen los correctos, entonces las teorías (...) científicas seleccionadas por estos presupuestos serían probable, o aproximadamente, verdaderas. The search of epistemic justification for the most basic methodological and axiological presuppositions of science has to deal with Agrippa's trilemma.It is argued that infinite regress - even if it is only a potential regress - and circularity are not the best alternatives of the trilemma and that the best disjunct is a minimalist dogmatism, with the following conditional, as one of its dogmas: If our most basic methodological and axiological scientific presuppositions were the correct ones, then the scientific theories selected by these presuppositions would be the probably, or the approximately, true ones. (shrink)

La filosofía de la ciencia se desarrolló durante la primera mitad del siglo xx bajo el supuesto de que la ciencia podía caracterizarse por la estructura lógica tanto del conocimiento articulado en las teorías más exitosas como de sus explicaciones. En la segunda mitad del siglo xx se cuestiona fuertemente esa idea, pero se sigue asumiendo que la filosofía de la ciencia debe hacerse siguiendo los cánones de una epistemología fundamentalista que considera que el avance de la ciencia pasa por (...) una ontología cada vez mas austera guiada por la idea de "mientras menos mejor". Desde esta perspectiva fundamentalista, el que las diferentes ciencias hablen de diferentes tipos de cosas es un obstáculo al entendimiento, producto de la imperfección del conocimiento actual. Este ideal nos invita a pensar que la epistemología debe hacerse reflexionando sobre el conocimiento articulado en nuestras teorías más austeras y nos compromete con propuestas reduccionistas problemáticas que no permiten explicar la diversidad de recursos epistémicos que de hecho utilizan los científicos. En este libro promovemos una epistemología que no sigue el lema de "mientras menos mejor", sino el de "organizar nuestros recursos epistémicos de manera que se genere entendimiento". Así, la misma estructura de las explicaciones y las prácticas (que incluye métodos y normas respecto de lo que se considera plausible y valioso) es lo que nos da la pauta para responder a la pregunta de qué es lo que hay. Esta estrategia epistémica nos obliga a hacer una filosofía de la ciencia muy cercana a la ciencia, reconociendo la pluralidad de sus métodos, objetivos y prácticas, sin reducir la filosofía de la ciencia a la sociología o a cualquier otra ciencia en particular. (shrink)

Archaeology can provide two bodies of information relevant to the understanding of the evolution of human cognition – the timing of developments, and the evolutionary context of these developments. The challenge is methodological. Archaeology must document attributes that have direct implications for underlying cognitive mechanisms. One example of such a cognitive archaeology is found in spatial cognition. The archaeological record documents an evolutionary sequence that begins with ape-equivalent spatial abilities 2.5 million years ago and ends with the appearance of modern (...) abilities in the still remote past of 400,000 years ago. The timing of these developments reveals two major episodes in the evolution in spatial ability, one, 1.5 million years ago and the other, one million years later. The two episodes of development in spatial cognition had very different evolutionary contexts. The first was associated with the shift to an open country adaptive niche that occurred early in the time range of Homo erectus. The second was associated with no clear adaptive shift, though it does appear to have coincided with the invasion of more hostile environments and the appearance of systematic hunting of large mammals. Neither, however, occurred in a context of modern hunting and gathering. Key Words: Archaeology; evolution; Homo erectus; spatial cognition; symmetry. (shrink)

Based on a newly conceptualized notion of the dialogical self, achieved by integrating Bakhtin's philosophical anthropology and Karmiloff-Smith's Representational Redescription model into the existing notion proposed by Hermans and colleagues, the present study focuses on examining the role of The Ox-Herding Pictures in cultivating the dialogical self. Methodologically, this study adopted the cultural-historical perspective and microdevelopmental approach of Vygotsky. In-depth case studies consisting of six interrelated phases of interviews and written responses were conducted. The results show that such a unique (...) cultural sign had different mediation effects upon subjects of different backgrounds. Two examples of considerable mediation effects are presented in more detail. A hermeneutical examination of this cultural object switched to a kind of self-representation in all cases, while the self-representation of all subjects developed from a less explicit to a more explicit level. Development of the dialogical self was characterized by its diversity in form and richness regarding content. (shrink)

Using empirical evidence to attack intuitions can be epistemically dangerous, because various of the complaints that one might raise against them (e.g., that they are fallible; that we possess no non-circular defense of their reliability) can be raised just as easily against perception itself. But the opponents of intuition wish to challenge intuitions without at the same time challenging the rest of our epistemic apparatus. How might this be done? Let us use the term “hopefulness” to refer to the extent (...) to which we possess a good capacity for the detection and correction of the errors of any fallible source of evidence. I argue that we should not trust putative sources of evidence that are substantially lacking in hopefulness (even if they are basically reliable), and that we are indeed already operating under such a norm in our ordinary and scientific practices. I argue further that the philosophical practice of the appeal to intuitions is, in these terms, badly hopeless... (shrink)

We argue that existing learning algorithms are often poorly equipped to solve problems involving a certain type of important and widespread regularity that we call “type-2 regularity.” The solution in these cases is to trade achieved representation against computational search. We investigate several ways in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription.”.

A philosopher once asked me: “Paul, how do you collaborate?” He was puzzled about how I came to have more than two dozen co-authors over the past 20 years. His puzzlement was natural for a philosopher, because co-authored articles and books are still rare in philosophy and the humanities, in contrast to science where most current research is collaborative. Unlike most philosophers, scientists know how to collaborate; this paper is about the nature of such procedural knowledge. I begin by discussing (...) three related distinctions found in philosophy and cognitive science: knowledge how vs. knowledge that, procedural vs. declarative knowledge, and explicit vs. implicit knowledge. I then document the prevalence of collaboration in the sciences and its scarcity in philosophy. In order to characterize the sorts of procedural knowledge that make collaborative research possible and fruitful, I discuss how scientists collaborate, how they learn to collaborate, and why they collaborate. Contrary to some recent suggestions by philosophers, I will argue that knowledge how often does not always reduce to knowledge that, and that collaboration has many purposes besides the pursuit of power and resources. The relative scarcity of philosophical collaborations might be explained by the nature of philosophy, if the field is viewed as inherently personal or a priori. But I argue against this view in favor of a more naturalistic one, December 2, 2005 with the implication that the main reason why philosophers do not collaborate more is that they do not know how. My account of collaboration is based on my own experience, published advice by practicing scientists, and interviews with a group of highly successful scientific collaborators who are members of the Social Psychology area of the University of Waterloo Psychology Department. For the past two decades, Waterloo’s social psychology program has flourished, both in collaborative publication and in graduate training: their former Ph.D.. (shrink)

This paper argues that collaboration in scientific and other fields requires a substantial amount of procedural knowledge about how to collaborate. It discusses how scientists collaborate, how they learn to collaborate, and why they collaborate. Knowledge how does not always reduce to knowledge that, and collaboration has many purposes besides the pursuit of power and resources. The relative scarcity of philosophical collaborations can be overcome by more naturalistic approaches to philosophy and by philosophers learning how to collaborate.

This article presents a theory of intuitive skill in terms of three constitutive elements: getting things right intuitively, not getting things wrong intuitively, and sceptical ability. The theory draws on work from a range of psychological approaches to intuition and expertise in various domains, including arts, business, science, and sport. It provides a general framework that will help to further integrate research on these topics, for example building bridges between practical and theoretical domains or between such apparently conflicting methodologies as (...) a heuristics and biases approach on the one hand and one based on naturalistic decision-making on the other. In addition, the theory provides a clearer and more precise account of relevant concepts, which will help to inspire new directions for future research. Intuitive skill is defined as a high level of intuitive ability, that is, the ability to make good use of intuition; specifically, a high level of ability at either getting things right intuitively, not getting things wrong intuitively, or sceptical ability, where the latter is the ability to detect instances of getting things wrong intuitively so as to avoid forming incorrect intuitive judgements, which may itself be partly intuitive. (shrink)

A two stage model was developed and tested to explain how ethical leadership relates to followers’ ethical judgment in an organizational context. Drawing on social learning theory, ethical leadership was hypothesized to promote followers’ self-leadership focused on ethics. It was found that followers’ perceived accountability fully accounts for this relationship. In stage two, the relationship between self-leadership focused on ethics and moral judgment in a dual decision-making system was described and tested. Self-leadership focused on ethics was only related to moral (...) judgment when followers use active judgment as opposed to their intuition. This provides support that a deliberate application of self-leadership focused on ethics leads to higher moral judgment. Theoretical and practical implications as well as future research opportunities are discussed. (shrink)

In recent decades many sociologists and philosophers of science, especially the so-called ‘new experimentalists’, have stressed the need for detailed studies of real, ongoing experimental practices, and have claimed that a new image of science results from such an approach. Among the new objects of interest that have emerged from laboratory studies, an important one is the tacit dimension of scientific practices. Harry Collins, in particular, has insisted that irreducibly tacit presuppositions and skills are inevitably involved in experimental practices, and (...) that these tacit resources play an essential role in the stabilization of successful scientific achievements. What I will call the ‘opacity of experimental practices’ has been analyzed in different ways, but on the whole, it has been claimed to have harmful epistemological consequences with respect to crucial issues such as the nature of experimental facts, scientific realism, scientific rationality, and the contingency of what acquires the status of an established scientific result in practitioners’ eyes. Such claims remain highly controversial. The aim of this paper is to discuss the epistemological implications of the involvement of tacit resources in experimental practices and to provide helpful conceptual tools with respect to the issue of tacit resources in science. Specifically, the paper provides an analytical clarification of the relation between the opacity of experimental practices and the principle of experimenters substitutability, the latter being a principle commonly viewed as a necessary feature of any good science. Serious doubts are finally raised about the validity of the experimenters substitutability principle, and the impact of these doubts with respect to the contingency of scientific facts and results is considered. (shrink)

Humans are capable of extracting recurring patterns from their environment via statistical learning (SL), an ability thought to play an important role in language learning and learning more generally. While much work has examined statistical learning in infants and adults, less work has looked at the developmental trajectory of SL during childhood to see whether it is fully developed in infancy or improves with age, like many other cognitive abilities. A recent study showed modality‐based differences in the effect of age (...) during childhood: While visual SL improved with age, auditory SL did not. This finding was taken as evidence for modality‐based differences in SL. However, since that study used auditory linguistic stimuli (syllables), the differential effect of age may have been driven by stimulus type (linguistic vs. non‐linguistic) rather than modality. Here, we ask whether age will affect performance similarly in the two modalities when non‐linguistic auditory stimuli are used (familiar sounds instead of syllables). We conduct a large‐scale study of children's performance on visual and non‐linguistic auditory SL during childhood (ages 5–12 years). The results show a similar effect of age in both modalities: Unlike previous findings, both visual and non‐linguistic auditory SL improved with age. These findings highlight the stimuli‐sensitive nature of SL and suggest that modality‐based differences may be stimuli‐dependent, and that age‐invariance may be limited to linguistic stimuli. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning (...) derived from subliminal learning, conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks (e.g., artificial grammar learning) is predominantly based on rule abstraction is questionable. When subjects cannot report the rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning derived from subliminal learning, (...) conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks is predominantly based on rule abstraction is questionable. When subjects cannot report the “implicitly learned” rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

Dreyfus's model of expert skill acquisition is philosophically important because it shifts the focus on expertise away from its social and technical externalization in STS, and its relegation to the historical and psychological context of discovery in the classical philosophy of science, to universal structures of embodied cognition and affect. In doing so he explains why experts are not best described as ideologues and why their authority is not exclusively based on social networking. Moreover, by phenomenologically analyzing expertise from a (...) first person perspective, he reveals the limitations of, and sometimes superficial treatment that comes from, investigating expertise from a third person perspective. Thus, he shows that expertise is a prime example of a subject that is essential to science but can only be fully elaborated with the aid of phenomenological tools. However, both Dreyfus's descriptive model and his normative claims are flawed due to the lack of hermeneutical sensitivity. He assumes an expert's knowledge has crystallized out of contextual sensitivity plus experience, and that an expert has shed, during the training process, whatever prejudices, ideologies, hidden agendas, or other forms of cultural embeddedness, that person might have begun with. One would never imagine, from Dreyfus's account, that society could possibly be endangered by experts, only how society's expectations and actions could endanger experts. The stories of actual controversies not only shows things do not work the way Dreyfus claims, but also that it would be less salutary if they did. Such stories amount to counterexamples to Dreyfus's normative claims, and point to serious shortcomings in his arguments. (shrink)

According to one productive and influential approach to cognition, categorization, object recognition, and higher level cognitive processes operate on a set of fixed features, which are the output of lower level perceptual processes. In many situations, however, it is the higher level cognitive process being executed that influences the lower level features that are created. Rather than viewing the repertoire of features as being fixed by low-level processes, we present a theory in which people create features to subserve the representation (...) and categorization of objects. Two types of category learning should be distinguished. Fixed space category learning occurs when new categorizations are representable with the available feature set. Flexible space category learning occurs when new categorizations cannot be represented with the features available. Whether fixed or flexible, learning depends on the featural contrasts and similarities between the new category to be represented and the individual's existing concepts. Fixed feature approaches face one of two problems with tasks that call for new features: If the fixed features are fairly high level and directly useful for categorization, then they will not be flexible enough to represent all objects that might be relevant for a new task. If the fixed features are small, subsymbolic fragments (such as pixels), then regularities at the level of the functional features required to accomplish categorizations will not be captured by these primitives. We present evidence of flexible perceptual changes arising from category learning and theoretical arguments for the importance of this flexibility. We describe conditions that promote feature creation and argue against interpreting them in terms of fixed features. Finally, we discuss the implications of functional features for object categorization, conceptual development, chunking, constructive induction, and formal models of dimensionality reduction. Key Words: concept learning; conceptual development; features; perceptual learning; stimulus encoding. (shrink)

We disagree with Juslin & Vll's (J&V's) thesis that music-evoked emotions are indistinguishable from other emotions in both their nature and underlying mechanisms and that music just induces some emotions more frequently than others. Empirical evidence suggests that frequency differences reflect the specific nature of music-evoked emotions: aesthetic and reactive rather than utilitarian and proactive. Additional mechanisms and determinants are suggested as predictors of emotions triggered by music.

Da quasi un secolo la pedagogia si trova a dover affrontare il problema di inquadrare la propria relazione con la biologia nello spazio pedagogico. Sarà l'introduzione della variabile culturale a complessificare la relazione pedagogia e biologia sino a renderla accettabile nel panorama pedagogico italiano. In questa ricerca gli elementi individuali e sociali, naturali e contestuali, biologici e culturali vengono a interagire nello stesso entanglement producendo la nascita delle scienze bioeducative. L'ingresso delle scienze bioeducative nel panorama pedagogico dell'inizio del Duemila è (...) stato segnato dalla esplicita volontà di costituire un campo disciplinare il cui approccio correlativo, interazionista e integrativo portasse a maturazione l'esigenza di sciogliere il nodo interpretativo della unilateralità dell'approccio pedagogico già evidenziatosi a metà del Novecento. Occorreva discutere su una pluralità di argomenti lasciati sul tavolo del precedente dibattito, questioni vive sulle quali negli ultimi dieci anni si sono andate a mettere in gioco diverse posizioni interpretative. Il campo di studi delle scienze bioeducative mette infatti a fuoco alcuni concetti chiave che introducono le teorie emergenti della educabilità cognitiva e della elaborazione implicita primaria. (shrink)

May implicit and explicit collaboration influence text comprehension and spatial recognition interaction? Visuospatial representation implies implicit, visual and spatial processing of actions and concepts at different levels of awareness. Implicit learning is linked to unaware, nonverbal and prototypical processing, especially in the early stages of development when it is prevailing. Spatial processing is studied as knowledge prototypes , conceptual and mind maps . According to the hypothesis that text comprehension and spatial recognition connecting processes may also be implicit, this paper (...) analyzes the possibility to identify and to define implicit non verbal criteria for organizing concepts into spatial representation. The focus of the research question is if prototypical processing (mainly implicit, but also explicit) criteria of conceptual organization may be model based. According to Thinking Prototypes Theory , explicit knowledge could be supported by implicit models of basic processing. On implicit side, conceptual development could be the resultant of the increasing complexity of prototypical implicit models interaction during individual lifespan, as in conceptual change research explicit conceptual development may be dependent on correlation . Unlike Theory Theory in Thinking Prototypes Theory implicit processing may collaborate with explicit knowledge without transforming itself from implicit to explicit. Prototypical implicit processing is considered as an entanglement of basic functions operating synergically in a complex way. Prototypical implicit processing units may be classified as far as they concern different basic thinking operations ( add , chain , each , compare , focus and link ). The experimental design was developed with primary school students in Naples. (shrink)

Implicit learning is a core process for the acquisition of a complex, rule‐based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the (...) body of evidence, more research is required to support the cross‐cultural validity of implicit learning and to show that core and more complex music theoretical features are acquired implicitly. (shrink)

Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically valid way. (...) It employed a cross-grammar design, using melodic materials from two modes that use the same scale. Findings indicated that Western participants unfamiliar with Indian music incidentally learned to identify distinctive features of each mode. Confidence ratings suggest that participants' performance was consistently correlated with confidence, indicating that they became aware of whether they were right in their responses; that is, they possessed explicit judgment knowledge. Altogether our findings show incidental learning in a realistic ecologically valid context during only a very short exposure, they provide evidence that incidental learning constitutes a powerful mechanism that plays a fundamental role in musical acquisition. (shrink)

We are sympathic with LeDoux’s primary goal here ─ to get a solid scientific grip on what has been dubbed one of the most elusive, important questions in scientific discourse, to identify the underlying biomolecular processes that give rise to consciousness. However, we have issues with the way he goes about it and have tried to present them in a constructive manner. Our commentary is built around our theory of the origins of minds, dubbed the Cellular Basis of Consciousness (CBC), (...) and the empirical research that supports it. The CBC is based on the proposition that life and sentience are co-terminous, that life without subjectivity, feeling, without valenced perception, without the capacity to learn and lay down memories would have been an evolutionary dead-end. It could not have survived in the hostile, chaotic world in flux that dominated our planet four billion years ago. The biological sciences operate on the principle that all species, extant and extinct, evolved from the first prokaryotes. The CBC theory is founded on the principle that all expressions of emotion, perception, and cognition did as well. (shrink)

In recent decades it has become increasingly clear that a substantial amount of cognitive work goes on independent of consciousness. The research has been carried out largely under two rubrics, implicit learning and implicit memory. The former has been concerned primarily with the acquisition of knowledge independent of awareness and the latter with the manner in which memories not readily available to conscious recall or recognition play a role in behavior; collectively these operations comprise the essential functions of the cognitive (...) unconscious. This paper reviews the recent history of work on these issues, identifies some of the problems confronting researchers, and introduces a theoretical framework based on principles of evolutionary biology within which to view them. The argument is that the cognitive unconscious, despite its apparent sophistication, is of considerable evolutionary antiquity and antedates conscious cognitive systems by a considerable amount of time. Various entailments of this evolutionary perspective are explored including such issues as phylogeny and ontogeny of implicit processes, the robustness of the implicit functions as displayed by the capacity to resist disruptions from psychological and neurological disorders, the relationship between implicit cognition and intelligence, and individual differences in implicit cognitive abilities. (shrink)

In their editors’ introduction, Rebuschat and Monaghan provide the background to the special issue. They outline the rationale for bringing together, in a single volume, leading researchers from two distinct, yet related research strands, implicit learning and statistical learning. The editors then introduce the new contributions solicited for this special issue and provide their perspective on the agenda setting that results from combining these two approaches.

This paper is an attempt to put the work of the past several decades on the problems of implicit learning and unconscious cognition into an evolutionary context. Implicit learning is an inductive process whereby knowledge of a complex environment is acquired and used largely independently of awareness of either the process of acquisition or the nature of that which has been learned. Characterized this way, implicit learning theory can be viewed as an attempt to come to grips with the classic (...) epistemological issues of knowledge acquisition, representation and use. The argument is made that the process, despite its seeming cognitive sophistication, is of considerable evolutionary antiquity and that it antedates awareness and the capacity for conscious control of mentation. Various classic heuristics from evolutionary biology are used to substantiate this claim and several specific entailments of this line of argument are outlined. (shrink)

The dominant position in the field of artificial intelligence (AI) is computationalism where the operative principle is that cognition in general and consciousness in particular can be captured by identification of the proper set of computations. This position has been attacked from several angles, most effectively, in my opinion, by John Searle in his now famous Chinese Room thought experiment. I critique this Searlean perspective on the grounds that, while it is probably correct in its essentials, it does not go (...) far enough. Quite simply, it runs afoul of the problem of emergentism. The proffered solution to this problem is that consciousness (or very rudimentary forms of it) needs to be viewed as an inherent property of organic form. While this recasting of the problem solves the emergentist dilemma it opens up a number of other issues. However, the new problems, unlike the old, appear in principle to be amenable to scientific analysis. (shrink)

Working Memory plays a crucial role in many high-level cognitive processes . The prevalent view holds that active components of WM are predominantly intentional and conscious. This conception is oftentimes expressed explicitly, but it is best reflected in the nature of major WM tasks: All of them are blatantly explicit. We developed two new WM paradigms that allow for an examination of the role of conscious awareness in WM. Results from five studies show that WM can operate unintentionally and outside (...) of conscious awareness, thus suggesting that the current view should be expanded to include implicit WM. (shrink)

This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...) that PDP networks lack the ability to recover the positive outcomes of analogous catastrophe analyses of real cognitive developmental data. In an attempt to further characterize the learning behaviour of PDP networks, we carried out a second simulation study using the discrimination‐shift paradigm. The results thus obtained indicate that PDP learning is compatible with the learning of stimulus‐response relationships, not with the acquisition of mediating rules such as conceived in (neo‐)Piagetian theory. In closing, we speculate about the feasibility of simulating stagewise development with alternative network architectures. (shrink)

This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...) that PDP networks lack the ability to recover the positive outcomes of analogous catastrophe analyses of real cognitive developmental data. In an attempt to further characterize the learning behaviour of PDP networks, we carried out a second simulation study using the discrimination‐shift paradigm. The results thus obtained indicate that PDP learning is compatible with the learning of stimulus‐response relationships, not with the acquisition of mediating rules such as conceived in (neo‐)Piagetian theory. In closing, we speculate about the feasibility of simulating stagewise development with alternative network architectures. (shrink)

It has been suggested that external and/or internal limitations paradoxically may lead to superior learning, that is, the concepts of starting small and less is more (Elman, ; Newport, ). In this paper, we explore the type of incremental ordering during training that might help learning, and what mechanism explains this facilitation. We report four artificial grammar learning experiments with human participants. In Experiments 1a and 1b we found a beneficial effect of starting small using two types of simple recursive (...) grammars: right‐branching and center‐embedding, with recursive embedded clauses in fixed positions and fixed length. This effect was replicated in Experiment 2 (N = 100). In Experiment 3 and 4, we used a more complex center‐embedded grammar with recursive loops in variable positions, producing strings of variable length. When participants were presented an incremental ordering of training stimuli, as in natural language, they were better able to generalize their knowledge of simple units to more complex units when the training input “grew” according to structural complexity, compared to when it “grew” according to string length. Overall, the results suggest that starting small confers an advantage for learning complex center‐embedded structures when the input is organized according to structural complexity. (shrink)