Cultural evolutionists typically emphasize the informational aspect of social transmission, that of the learning, stabilizing, and transformation of mental representations along cultural lineages. Social transmission also depends on the production of public displays such as utterances, behaviors, and artifacts, as these displays are what social learners learn from. However, the generative processes involved in the production of public displays are usually abstracted away in both theoretical assessments and formal models. The aim of this paper is to complement the informational (...) view with a generative dimension, emphasizing how the production of public displays both enable and constrain the production of modular cultural recipes through the process of innovation by recombination. In order to avoid a circular understanding of cultural recombination and cultural modularity, we need to take seriously the nature and structure of the generative processes involved in the maintenance of cultural traditions. A preliminary analysis of what recombination and modularity consist of is offered. It is shown how the study of recombination and modularity depends on a finer understanding of the generative processes involved in the production phase of social transmission. Finally, it is argued that the recombination process depends on the inventive production of an interface between modules and the complex recipes in which they figure, and that such interfaces are the direct result of the generative processes involved in the production of these recipes. The analysis is supported by the case study of the transition from the Oldowan to the Early Acheulean flake detachment techniques. (shrink)

In this dissertation I argue for a wider and more robust notion of the modularity of mind thesis. The developmental disorder of autism is the prime analytic tool for developing this approach. I argue that a variety of other approaches are deeply flawed in that they cannot account for the autistic spectrum disorder. I mean by this the autistic profile of deficits such as the lack of social interaction and the avoidance of social contact. I begin with Fodorian (...) class='Hi'>modularity. I argue that autism presents us with a case that threatens the division Fodor has between modules and central systems. The autistic disorder exemplifies an area of higher cognition that has many of the properties commonly associated with modular processing. Since Fodor cannot opt for a modular account of theory of mind it must be that his account of central systems is incorrect. I next argue that Baron-Cohen's amended modular architecture cannot explain autism since the autistic deficit cannot be due to a defective module for processing intentional action. Furthermore, his use of modularity threatens to make his view of cognition incoherent. Finally I take up Gopnik and Meltzoff's approach that eschews any type of modularity and instead posits a general learning mechanism. If autism, as they claim, were a general theory-building problem, then one should expect to see other behavioral deficits in other areas of autistic cognition. We do not. I then offer an alternative version of modularity inspired by Karmiloff-Smith . It gives us advantages. On Karmiloff-Smith's account we would expect the autistic deficit to have more perceptually basic components and recent research is bearing this out. Progressive modularity also provides us with a framework in which to understand the ways autistic persons understand the social world. This approach also seeks to unify the cognitive work being done on development with burgeoning work on development in neuroscience. (shrink)

Through mystery, literature reveals to us the Great Unknown. While we are absorbed by the matters at hand with the present enactment of our life, groping for clues to handle them, it is through literature that we discover the hidden strings underlying their networks. Hence our fascination with literature. But there is more. The creative act of the human being, its proper focus, holds the key to the Sezam of life: to the great metaphysical/ontopoietic questions which literature may disclose. First, (...) it leads us to the sublimal grounds of transformation in the human soul, source of the specifically human significance of life (Analecta Husserliana, Volume III, XIX, XXIII, XXVII) Second, it leads us to the unveiling of the hidden workings of life in the twilight of knowing in a dialectic between The Visible and the Invisible, (Volume LXXV, 2002, Analecta Husserliana) down to the ontopoietic truth. (Volume LXXVI, 2002, Analecta Husserliana) This prying into the unknown which provokes the human being as he or she attempts to conquer, step by step, a space of existence, finds its culmination in the phenomenon of mystery as the subject of the present collection. Its formulation brings us to the greatest question of all: the enigmatic solidarity -in-distinctiveness of human cognition and existence. Papers are written by: Tony E. Afejuku, Gary Backhaus, Paul G. Beidler, Matthew J. Duffy, Raffaela Giovagnoli, Jennifer Anna Gosetti-Ferencei, Matti Itkonen, Lawrence Kimmel, Catherine Malloy, Vladimir L. Marchenkov, Nancy Mardas, Howard Pearce, Bernadette Prochaska, Victor Gerald Rivas, M.J. Sahlani, Dennis Skocz, Jadwiga S. Smith, Mara Stafecka, Max Statkiewicz, Mariola Sulkowska, Anna-Teresa Tymieniecka, Leon U. Weinman, Tim Weiss. (shrink)

Evolutionary developmental biology (“evo-devo”) may provide insights and new methods for studies of cognition and cultural evolution. For example, I propose using cultural selection and individual learning to examine constraints on cultural evolution. Modularity, the idea that traits vary independently, can facilitate evolution (increase “evolvability”), because evolution can act on one trait without disrupting another. I explore links between cognitive modularity, evolutionary modularity, and cultural evolvability. (Published Online November 9 2006).

Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call “guiding”, do (...) not have immediate effects and do not disrupt the evolution and learning capacity of partner agents. However, they modify the extent of learning and evolutionary possibilities of partners via establishment of scaffolds and constraints. As a result, subagents construct reciprocal scaffolding for each other to rebalance their communal evolution and learning. As an example, I discuss guiding interactions between the body and mind of animals, where the pain system adjusts mind-based learning to the physical and physiological constraints of the body. Reciprocal effects of mind and behaviors on the development and evolution of the body includes the effects of Lamarck and Baldwin. (shrink)

Fifty years after the death of Edmund Husserl, the main founder of the phenomenological current of thought, we present to the public a four book collection showing in an unprecedented way how Husserl's aspiration to inspire the entire universe of knowledge and scholarship has now been realized. These volumes display for the first time the astounding expansion of phenomenological philosophy throughout the world and the enormous wealth and variety of ideas, insights, and approaches it has inspired. The basic commitment to (...) phenomenological concerns found in all this variety makes this collection a most signifi cant historical document. This second volume of the collection bears witness to a deliberate shift of attention from the earlier to the later phase of Husserl's reflections. We see how his issues - intersubjectivity, ethics, human encounter, the societal world, empathy, the sphere of the self, and the surpassing of dichotomies (bodylpsyche, etc.) - are now at the center of attention in the human sciences. Among the authors are H. Tellenbach, A. Rigobello, C. Balzer, C. Bjurvill, V. Molchanov, E. Syristova, O. Balaban, R. Boehm, M. Sancipriano, O. M. Anwar, Y. Okamoto, B. Holyst, T. Sodeika, and M. De Negri. The studies were gathered at the programs held by The World Institute for Advanced Phenomenological Research and Learning in the commemorative year 1988/1989, chiefly at the First World Congress of Phenomenology at Santiago de Compos tela, Spain, with the aim of assessing the current state of phenomenology. A-T. T. (shrink)

We argue that atomistic learning?learning that requires training only on a novel item to be learned?is problematic for networks in which every weight is available for change in every learning situation. This is potentially significant because atomistic learning appears to be commonplace in humans and most non-human animals. We briefly review various proposed fixes, concluding that the most promising strategy to date involves training on pseudo-patterns along with novel items, a form of learning that is (...) not strictly atomistic, but which looks very much like it ?from the outside? (shrink)

To introduce this collection of research studies, which stem from the pro grams conducted by The World Phenomenology Institute, we need say a few words about our aims and work. This will bring to light the significance of the present volume. The phenomenological philosophy is an unprejudiced study of experience in its entire range: experience being understood as yielding objects. Experi ence, moreover, is approached in a specific way, such a way that it legitima tizes itself naturally in immediate evidence. (...) As such it offers a unique ground for philosophical inquiry. Its basic condition, however, is to legitimize its validity. In this way it allows a dialogue to unfold among various philosophies of different methodologies and persuasions, so that their basic assumptions and conceptions may be investigated in an objective fashion. That is, instead of comparing concepts, we may go below their differences to seek together what they are meant to grasp. We may in this way come to the things them selves, which are the common objective of all philosophy, or what the great Chinese philosopher Wang Yang Ming called "the investigation of things". It is in this spirit that the Institute's programs include a "cross-cultural" dialogue meant to bring about a profound communication among philosophers in their deepest concerns. Rising above artificial cultural confinements, such dialogues bring scholars, thinkers and human beings together toward a truly human community of minds. Our Institute unfolds one consistent academic program. (shrink)

The contemporary revival of interest in the Sacred as a category of philosophico-religious reflection here finds a radical reversal of the traditional direction, taking the Sacred as the starting point of the itinerary toward the Divine. The wide variety of essays contained in this volume attempt to ground philosophy of the Sacred and the Divine in phenomenological evidence. Though employing different methodologies, the contributors register by and large the contribution of A-T. Tymieniecka's phenomenology of life in providing a significant 20th (...) century vision for the accomplishment of this task. Its pursuit finds here expression in philosophical, historical, literary and political explorations leading to construing phenomenology of the Sacred as a prerequisite to the investigation of the Divine. The contributors to this extraordinary collection are: C. Bédard, A. Ales Bello, Gerard Bucher, D. Chidester, D. Conchi, M. Kronegger, S. Laycock, Ph. Liverziani, J.N. Mohanty, E. Moutsopoulos, A.M. Olson, Y. Park, G. Penzo, B. Ross, C. Osowiec Ruoff, Th. Ryba, J. Smith, A-T. Tymieniecka and E. Wyschogrod. (shrink)

While no one seems to believe that business schools or their faculties bear entire responsibility for the ethical decision-making processes of their students, these same institutions do have some burden of accountability for educating students surrounding these skills. To that end, the standards promulgated by the Association to Advance Collegiate School of Business, their global accrediting body, require that students learn ethics as part of a business degree. However, since the AACSB does not require the inclusion of a specific course (...) to achieve this objective, it may be satisfied by establishing a stand-alone course in ethical decision-making, by integrating ethical decision-making into the existing curricula, by some combination of the two strategies, or through some alternative mechanism. Notwithstanding the choice of delivery process, though, the institution must ensure that it is able to demonstrate the students' achievement of learning with regard to ethics, a bar that was raised, or arguably simply modified, in 2003. With learning objectives designed precisely to measure the student delta based on content, process and engagement in a particular class, those programs that have opted for stand-alone ethics courses may be more prepared to respond to assessment-related inquiries regarding their programs or satisfaction of the standards. The relevance of the AACSB standards modification to the current efforts at ethics integration in business programs is instead a re-examination of how to create a program of integration that is designed to ensure the most effective learning results possible, while responding to the challenges presented by the integrated approach. The purpose of this article is to explore some of those challenges that may be somewhat universal to business school programs implementing the integrated approach, and to share one large university's response to those challenges, along with lessons learned. (shrink)

Research on learning, the structure of attained knowledge, and the use of this competence in performance has repeatedly returned to longstanding proposals about how to better understand proficient use of knowledge and how humans acquire it. The following article takes up an exchange between Chiappe & Gardner and Barrett & Kurzban on the concept of modularity, one of these proposals. Despite the disagreements expressed, a careful reading of the contributions shows that they also left us with lines of (...) discussion that will eventually sort out the relevant hypotheses and integrate findings for future research. These lines of work will contribute to a clearer understanding of an updated version of the modularity hypothesis that is also compatible with evolutionary science perspectives on learning. How might the categories of domain-specific and domain-general correspond to the distinction between competence and performance and to that of narrow faculty and broad faculty? (shrink)

Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories (...) of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism. (shrink)

This volume marks a phase of accomplishment in the work of the World Phenomenology Institute in unfolding a dialogue between Occidental phenomenology and the Oriental/Chinese classic philosophy. Going beyond the stage of reception, the Oriental scholars show in this collection of studies their perspicacity and philosophical skills in comparing the concepts, ideas, the vision of classic phenomenology and Chinese philosophy toward uncovering their common intuitions. This in-depth probing aims at reviving Occidental thinking, reaching to its intuitive sources, as well as (...) providing Chinese thinking with a precise apparatus of expression toward its rejuvenation in a new significance. Studies by Korean and Chinese phenomenologists: Nam-In Lee, Inhui Park, Benjamin I. Schwartz, Anna-Teresa Tymieniecka, Sitansu Ray, Zhang Xian, Zhang Qingxiong, Tsung-I Dow, Ashok K. Gangadean, Yushiro Takei, Louise Sunderarajan, Gregory Tropea, James Sellmann, Tyong Bok Rhie, Sang-Ki Kim, Daniel Zelinski, Qingjie Wang, Calvin O. Schrag, Jung-Sun Han. (shrink)

Medicine's crucial concern with health is perennial, but its reflection, concepts, means change with the advance of science and social life. We present here a fascinating panorama of current medical discussions with their philosophical underpinnings, and queries as they have evolved from the past. The role of Tymieniecka's phenomenology of life is brought forth as the system of philosophical reference.

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which (...) they are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by focusing the infant's (...) attention on proprietary inputs. Development does not stop at efficient learning. A fundamental aspect of human development (“representational redescription”) is the hypothesized process by which information that isina cognitive system becomes progressively explicit knowledgetothat system. Development thus involves two complementary processes of progressive modularization and progressive “explicitation.” Empirical findings on the child as linguist, physicist, mathematician, psychologist, and notator are discussed in support of the theoretical framework. Each chapter concentrates first on the initial state of the infant mind/brain and on subsequent domain-specific learning in infancy and early childhood. It then goes on to explore data on older children's problem solving and theory building, with particular focus on evolving cognitive flexibility. Emphasis is placed throughout on the status of representations underlying different capacities and on the multiple levels at which knowledge is stored and accessible. Finally, consideration is given to the need for more formal developmental models, and a comparison is made between representational redescription and connectionist simulations of development. In conclusion, I consider what is special about human cognition by speculating on the status of representations underlying the structure of behavior in other species. (shrink)

This essay explores the universal cognitive bases of biological taxonomy and taxonomic inference using cross-cultural experimental work with urbanized Americans and forest-dwelling Maya Indians. A universal, essentialist appreciation of generic species appears as the causal foundation for the taxonomic arrangement of biodiversity, and for inference about the distribution of causally-related properties that underlie biodiversity. Universal folkbiological taxonomy is domain-specific: its structure does not spontaneously or invariably arise in other cognitive domains, like substances, artifacts or persons. It is plausibly an innately-determined (...) evolutionary adaptation to relevant and recurrent aspects of ancestral hominid environments, such as the need to recognize, locate, react to, and profit from many ambient species. Folkbiological concepts are special players in cultural evolution, whose native stability attaches to more variable and difficult-to-learn representational forms, thus enhancing the latter's prospects for regularity and recurrence in transmission within and across cultures. This includes knowledge that cumulatively enriches (folk expertise), overrides (religious belief) or otherwise transcends (science) the commonsense ontology prescribed by folkbiology. Finally, the studies summarized here indicate that results gathered from “standard populations” in regard to biological categorization and reasoning more often than not fail to generalize in straightforward ways to humanity at large. This suggests the need for much more serious attention to cross-cultural research on basic cognitive processes. (shrink)

A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural commitments and its reliance on heuristic information processing. I argue instead that the real trouble lies in its commitment to nativism—recent massive modularity models, despite incorporating mechanisms for learning and self-organization, still cannot learn to control (...) information flexibly enough. After defending this position, I close the paper by discussing wider implications for control and cognitive architecture. (shrink)

The aberrations of a gene can influence it and the functions of its neighbour genes in gene interaction network, leading to the development of carcinogenesis of normal cells. In consideration of gene interaction network as a complex network, previous studies have made efforts on the driver attribute filling of genes via network properties of nodes and network propagation of mutations. However, there are still obstacles from problems of small size of cancer samples and the existence of drivers without property of (...) network neighbours, limiting the discovery of cancer driver genes. To address these obstacles, we propose an efficient modularity subspace based concept learning model. Our model can overcome the curse of dimensionality due to small samples via dimension reduction in the task of attribute concept learning and explore the features of genes through modularity subspace beyond the network neighbours. The evaluation analysis also demonstrates the superiority of our model in the task of driver attribute filling on two gene interaction networks. Generally, our model shows a promising prospect in the application of interaction network analysis of tumorigenesis. (shrink)

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 problems, by (...) contrast, present tractable problems of search insofar as the relevant regularities can be found by sampling the input data as originally coded. Type-2 problems, we suggest, present neither rare nor pathological cases. They are rife in biologically realistic settings and in domains ranging from simple animat behaviors to language acquisition. Not only are such problems rife – they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding biases so as to reduce specific type-2 problems to type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy – namely, the maximal exploitation of states of representation already achieved by prior, simpler learning so as to reduce the amount of subsequent computational search. Such exploitation both characterizes and helps make unitary sense of a diverse range of mechanisms. These include simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription”. In addition, the most distinctive features of human cognition – language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of human conceptual memory have shown that concepts may be learned without a teacher who provides the category name to associate with exemplars. A modular neural network architecture that realizes concept acquisition through two functionally distinct operations, categorizing and naming, is proposed as an alternative. An unsupervised algorithm realizes the categorizing module by constructing representations of categories compatible with prototype theory. The naming (...) module associates category names to the output of the categorizing module in a supervised mode. In such a modular architecture, the interface between the modules can be conceived of as an “information relay” that encodes, constrains, and propagates important information. Five experiments were conducted to analyze the relationships among internal conceptual codes and simple conceptual and lexical development. The first two experiments show a prototype effect and illustrate some basic characteristics of the system. The third experiment presents a bottom‐up model of the narrowing down of children's early lexical categories that honors mutual exclusivity. The fourth experiment introduces top‐down constraints on conceptual coding. The fifth experiment exhibits how hierarchical relationships between concepts are learned by the architecture, and also demonstrates how a spectrum of conceptual expertise may gradually emerge as a consequence of experiencing more with certain categories than with others. (shrink)

Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of human conceptual memory have shown that concepts may be learned without a teacher who provides the category name to associate with exemplars. A modular neural network architecture that realizes concept acquisition through two functionally distinct operations, categorizing and naming, is proposed as an alternative. An unsupervised algorithm realizes the categorizing module by constructing representations of categories compatible with prototype theory. The naming (...) module associates category names to the output of the categorizing module in a supervised mode. In such a modular architecture, the interface between the modules can be conceived of as an “information relay” that encodes, constrains, and propagates important information. Five experiments were conducted to analyze the relationships among internal conceptual codes and simple conceptual and lexical development. The first two experiments show a prototype effect and illustrate some basic characteristics of the system. The third experiment presents a bottom‐up model of the narrowing down of children's early lexical categories that honors mutual exclusivity. The fourth experiment introduces top‐down constraints on conceptual coding. The fifth experiment exhibits how hierarchical relationships between concepts are learned by the architecture, and also demonstrates how a spectrum of conceptual expertise may gradually emerge as a consequence of experiencing more with certain categories than with others. (shrink)

Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular neural structures familiar to cognitive scientists. However, simulations of the evolution of simplified neural systems have shown that, in many cases, it is actually non-modular (...) architectures that are most efficient. In this paper, the relevant issues are discussed and a series of simulations are presented that reveal crucial dependencies on the details of the learning algorithms and tasks that are being modelled, and the importance of taking into account known physical brain constraints, such as the degree of neural connectivity. A pattern is established which provides one explanation of why modularity should emerge reliably across a range of neural processing tasks. (shrink)

Imitation has been understood in different ways: as a cognitive adaptation subtended by genetically specified cognitive mechanisms; as an aspect of domain general human cognition. The second option has been advanced by Cecilia Heyes who treats imitation as an instance of associative learning. Her argument is part of a deflationary treatment of the “mirror neuron” phenomenon. I agree with Heyes about mirror neurons but argue that Kim Sterelny has provided the tools to provide a better account of the nature (...) and role of human imitation. What we call imitative learning is an instance of social learning. It has little to do with empathy, emotional contagion, or mind reading. (shrink)

Modularity theorists have challenged that there are, or could be, general learning mechanisms that explain theory-of-mind development. In response, supporters of the ‘scientific theory-theory’ account of theory-of-mind development have appealed to children's use of auxiliary hypotheses and probabilistic causal modeling. This article argues that these general learning mechanisms are not sufficient to meet the modularist's challenge. The article then explores an alternative domain-general learning mechanism by proposing that children grasp the concept belief through the progressive alignment (...) of relational structure that occurs as a result of structural-comparison. The article also explores the implications of the proposed account for Fodor's puzzle of conceptual learning. (shrink)

This paper shows how to define probability distributions over linguistically realistic syntactic structures in a way that permits us to define language learning and language comprehension as statistical problems. We demonstrate our approach using lexical‐functional grammar (LFG), but our approach generalizes to virtually any linguistic theory. Our probabilistic models are maximum entropy models. In this paper we concentrate on statistical inference procedures for learning the parameters that define these probability distributions. We point out some of the practical problems (...) that make straightforward ways of estimating these distributions infeasible, and develop a “pseudo‐likelihood” estimation procedure that overcomes some of these problems. This method raises interesting questions concerning the nature of the data available to a language learner and the modularity of language learning and processing. (shrink)

For years now, learning has been at the heart of research within cognitive psychology. How do we acquire new knowledge and new skills? Are the principles underlying skill acquisition unique to learning, or similar to those underlying other behaviours? Is the mental system essentially modular, or is the mental system a simple product of experience, a product that, inevitably, reflects the shape of the external world with all of its specialisms and similarities? This new book takes the view (...) that learning is a major influence on the nature of the processes and representations that fill our minds. Throughout, the authors review and consider the areas of skill acquisition and lexical representation to illustrate the effects that practice can have on cognitive processes. They also draw parallels between theories in physical and biological domains to propose not only a new theory of mental function but also demonstrate that the mind is essentially subject to the same natural laws as the physical world. In so doing Speelman and Kirsner present a new perspective on psychology - one that identifies universal principles underlying all behaviours and one which contrasts markedly from our current focus on highly specific behaviours. Accessibly written, Beyond the Learning Curve is a thought provoking and challenging new text for students and researchers in the cognitive sciences. (shrink)

It is widely appreciated that the difficulty of a particluar computation varies according to how the input data are presented. What is less understood is the effect of this computation/representation tradeoff within familiar learning paradigms. We argue that existing learning algoritms are often poorly equipped to solve problems involving a certain type of important and widespread regularity, which 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'. In addition, the most distinctive features of human cognition- language and culture- may themselves be viewed as adaptions enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)

The posterior cortex, hippocampus, and prefrontal cortex in the Leabra architecture are specialized in terms of various neural parameters, and thus are predilections for learning and processing, but domain-general in terms of cognitive functions such as face recognition. Also, these areas are not encapsulated and violate Fodorian criteria for modularity. Anderson's terminology obscures these important points, but we applaud his overall message.

It is becoming increasingly clear that acquiring cognitive skills is feasible only with significant developmental constraints. However, recent research provides the strongest evidence to date for constructivist development. Here, we examine how these two apparently conflicting perspectives may be reconciled. Specifically, we suggest that subcortical and cortical structures possess divergent developmental strategies, with many subcortical structures satisfying Fodor's criteria for modularity. These structures constitute an early behavioral system that guides the construction of later emerging cortical structures, for which there (...) is little evidence for modularity. Thus, we focus on how the dynamic time course of development itself implicitly constrains the emergence of cortical representations, reducing the requirement for built-in encodings of knowledge in cortical circuits, as on the traditional nativist conception. (shrink)

Bloom masterfully captures the state-of-the-art in the study of lexical acquisition. He also exposes the extent of our ignorance about the learning of names for non-observables. HCLMW adopts an innatist position without adopting modularity of mind; however, it seems likely that modularity is needed to bridge the gap between object names and the rest of the lexicon.

This paper proposes a learning-efficiency explanation of modular structure in language. An optimal grammar arises as the solution to the problem of learning a language from a minimal number of observations of instances of the use of the language. Agents face symmetry constraints that limit their ability to make a priori distinctions among symbols used in the language and among objects (interpreted as facts, events, speaker’s intentions) that are to be represented by messages in the language. It is (...) shown that if it is commonly known that the object space is modular and messages are strings, then modularity of the language is sufficient and (essentially) necessary for learning efficiency. Journal of Economic Literature Classification Number: C72. (shrink)

GoalThis paper presents an immersive Virtual Reality system to analyze and train Executive Functions of soccer players. EFs are important cognitive functions for athletes. They are a relevant quality that distinguishes amateurs from professionals.MethodThe system is based on immersive technology, hence, the user interacts naturally and experiences a training session in a virtual world. The proposed system has a modular design supporting the extension of various so-called game modes. Game modes combine selected game mechanics with specific simulation content to target (...) particular training aspects. The system architecture decouples selection/parameterization and analysis of training sessions via a coaching app from an Unity3D-based VR simulation core. Monitoring of user performance and progress is recorded by a database that sends the necessary feedback to the coaching app for analysis.ResultsThe system is tested for VR-critical performance criteria to reveal the usefulness of a new interaction paradigm in the cognitive training and analysis of EFs. Subjective ratings for overall usability show that the design as VR application enhances the user experience compared to a traditional desktop app; whereas the new, unfamiliar interaction paradigm does not negatively impact the effort for using the application.ConclusionThe system can provide immersive training of EF in a fully virtual environment, eliminating potential distraction. It further provides an easy-to-use analyzes tool to compare user but also an automatic, adaptive training mode. (shrink)

Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality of (...) evidence was assessed using Cochrane's Risk of Bias tool and Grading of Recommendations Assessment, Development, and Evaluation. A random-effects model was used for meta-analysis.Results: Out of 92 articles identified, eight studies involving 815 participants were included in this study. Most trials conducted a minimum of 8 weeks of MBI. Most of the trials used UCLA-Loneliness Scale. A pooled analysis combining three trials and compared with wait-list showed significant improvement in loneliness score reduction using the UCLA-R scale with MD of −6.33 [95% confidence interval : −9.39, −3.26]. Subgroup analysis with only two Cognitively-Based Compassion Training trials also showed similar MD of −6.05. The overall quality of evidence was low.Conclusions: Mindfulness intervention with an average length of 8-week duration significantly improved the population's loneliness level with no mental health issue. However, this evidence had a low GRADE level. (shrink)

This grounded study investigated the negotiation of authorship by faculty members, graduate student mentors, and their undergraduate protégés in undergraduate research experiences at a private research university in the northeastern United States. Semi-structured interviews using complementary scripts were conducted separately with 42 participants over a 3 year period to probe their knowledge and understanding of responsible authorship and publication practices and learn how faculty and students entered into authorship decision-making intended to lead to the publication of peer-reviewed technical papers. Herein (...) the theoretical model for the negotiation of authorship developed through the analysis of these interviews is reported. The model identifies critical causal and intervening conditions responsible for the coping strategies faculty and students employ, which, in our study, appear to often produce unfortunate consequences for all involved. The undergraduate student researchers and their graduate student mentors interviewed in this study exhibited a limited understanding of authorship and the requirements for authorship in their research groups. The power differential between faculty and students, the students’ limited epistemic development, the busy-ness of the faculty, and the faculty’s failure to prioritize authorship have been identified as key factors inhibiting both undergraduate and graduate students from developing a deeper understanding of responsible authorship and publication practices. Implications for graduate education and undergraduate research are discussed, and strategies for helping all students to develop a deeper understanding of authorship are identified. (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.”.

Theories that propose a modular basis for developing a “theory of mind” have no problem accommodating social interaction or social environment factors into either the learning process, or into the genotypes underlying the growth of the neurocognitive modules. Instead, they can offer models which constrain and hence explain the mechanisms through which variations in social interaction affect development. Cognitive models of both competence and performance are critical to evaluating the basis of correlations between variations in social interaction and performance (...) on mental state reasoning tasks. (shrink)