: The purpose of this paper and its sister paper (Farrell and Hooker, b) is to present, evaluate and elaborate a proposed new model for the process of scientific development: self-directed anticipative learning (SDAL). The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape-language research. In this first paper we outline five prominent features of SDAL that will need to be realized in applying SDAL to science: 1) interactive exploration of (...) possibility space; 2) self-directedness; 3) localization of success and error; 4) Synergistic increase in learning capacity; and 5) continuity of SDAL process across scientific change. In this paper we examine the first three features of SDAL in relation to the early history of ape-language research. We show that this history is readily explicated as a self-directed, ever-finer, delineation of possibility space that enables the localization of both success and error. Paper II examines the last two features against this history. (shrink)

: The purpose of this paper and its sister paper I (Farrell and Hooker, a) is to present, evaluate and elaborate a proposed new model for the process of scientific development: self-directed anticipative learning. The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape language research. Paper I examined the basic features of SDAL in relation to the early history of ape-language research. In this second paper we examine the reconceptualization (...) of ape-language research following what many conceived to be Terrace's refutation of ape-language. We show that the apparent 'revolution' in our understanding of ape linguistic capacities was not based upon 'revolutionary' research different in kind from 'normal' research. The same processes of self-directed interactive exploration of possibility space, that enables a homing-in upon both error and success, is present in all phases of productive science. Moreover, conceiving science as an SDAL process explains how scientists learn how to learn about their research domain. (shrink)

This paper outlines an original interactivist-constructivist approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and the primary model for cognitive learning is anticipative skill construction. Self-directedness is a (...) capacity for integrative process modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified learning is an important component of intelligence. A model of self-directed anticipative learning is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches. (shrink)

Error is protean, ubiquitous and crucial in scientific process. In this paper it is argued that understanding scientific process requires what is currently absent: an adaptable, context-sensitive functional role for error in science that naturally harnesses error identification and avoidance to positive, success-driven, science. This paper develops a new account of scientific process of this sort, error and success driving Self-Directed Anticipative Learning (SDAL) cycling, using a recent re-analysis of ape-language research as test example. The example shows the (...) limitations of other accounts of error, in particular Mayo’s (Error and the growth of experimental knowledge, 1996) error-statistical approach, and SDAL cycling shows how they can be fruitfully contextualised. (shrink)

Cognitive Science, Volume 46, Issue 2, February 2022.

This book advocates for schools to empower people to be creators of their preferred future. Learning is more focused and compelling for students of all ages when it is oriented toward future requirements. Anticipate the World You Want sets out a framework for bringing a future focus to education.

In my opinion, it is only in the framework of a research dealing with abductive cognition that we can analyze important cognitive aspects of human and machine capacities. From the point of view of human capacities the phenomenological concept of anticipation, which is related to the problem of the spontaneous generation of spatiality and its three-dimensionality, will be central. I will describe that anticipations can be seen as types of visual and manipulative abduction and also fruitful to illustrate, in the (...) case of human and machine capacities, the respective role of two kinds of strategic reasoning: locked and unlocked abductive strategies, which characterize the basic cognitive pro- cedure of “reading ahead”. The specificity of these contrasting inferential strategies is also related to their potentiality in producing different kinds of hypothetical outcomes, which in turn represent dissimilar levels of knowledge creativity. This diversity is also fundamental to depict the special character, the kind of creativity, and the limits of current computational deep learning AI systems, such as AlphaGo, which realize abductive cognitive processes. (shrink)

The ability to anticipate team members' actions enables joint action towards a common goal. Task knowledge and mental simulation allow for anticipating other agents' actions and for making inferences about their underlying mental representations. In human–AI teams, providing AI agents with anticipatory mechanisms can facilitate collaboration and successful execution of joint action. This paper presents a computational cognitive model demonstrating mental simulation of operators' mental models of a situation and anticipation of their behavior. The work proposes two successive steps: (1) (...) A hierarchical cluster algorithm is applied to recognize patterns of behavior among pilots. These behavioral clusters are used to derive commonalities in situation models from empirical data (N = 13 pilots). (2) An ACT-R (adaptive control of thought - rational) cognitive model is implemented to mentally simulate different possible outcomes of action decisions and timing of a pilot. model tracing of ACT-R allows following up on operators' individual actions. Two models are implemented using the symbolic representations of ACT-R: one simulating normative behavior and the other by simulating individual differences and using subsymbolic learning. Model performance is analyzed by a comparison of both models. Results indicate the improved performance of the individual differences over the normative model and are discussed regarding implications for cognitive assistance capable of anticipating operator behavior. (shrink)

Upshot: Albeit mostly supportive of our work, the commentaries we received highlighted a few points that deserve additional explanation, with regard to the notion of learning in our model, the relationship between our model and the brain, as well as the notion of anticipation. This open discussion emphasizes the need for toy computer models, to fuel theoretical discussion and prevent business-as-usual from getting in the way of new ideas.

Function emerges in certain kinds of far-from-equilibrium systems. One important kind of function is that of interactive anticipation, an adaptedness to temporal complexity. Interactive anticipation is the locus of the emergence of normative representational content, and, thus, of representation in general: interactive anticipation is the naturalistic core of the evolution of cognition. Higher forms of such anticipation are involved in the subsequent macro-evolutionary sequence of learning, emotions, and reflexive consciousness.

L’anticipation est généralement conçue comme un phénomène qui, d’un point de vue temporel et logique, est antérieur à une action ou une situation donnée. Dans cet article, nous proposons d’interroger cette conception en nous intéressant en détail à ce que l’anticipation fait à l’action qu’elle anticipe. En détail c’est-à-dire, très littéralement, en observant dans des situations d’interactions ordinaires les effets que peut produire le fait d’anticiper une action. En l’occurrence, dans des situations d’apprentissage entre hommes et chiens comme celles que (...) nous examinons, anticiper une action en l’évaluant avant qu’elle n’ait eu lieu contribue en grande part à la configurer. Cette avancée nous conduit à développer une vision proprement pragmatiste de l’action, conçue comme un procès façonné de manière émergente et collaborative par l’ensemble des participants qui l’accomplissent. (shrink)

Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: Interaction-based models of cognition force anticipatory and constructivist models. The CALM model offers significant development of such models within a machine learning framework. It is suggested that moving to an entirely interactive-based model offers still further advantages.

Genetic engineering techniques (e.g., CRISPR-Cas) have led to an increase in biotechnological developments, possibly leading to uncertain risks. The European Union aims to anticipate these by embedding the Precautionary Principle in its regulation for risk management. This principle revolves around taking preventive action in the face of uncertainty and provides guidelines to take precautionary measures when dealing with important values such as health or environmental safety. However, when dealing with ‘new’ technologies, it can be hard for risk managers to estimate (...) the societal or environmental consequences of a biotechnology that might arise once introduced or embedded in society due to that these sometimes do not comply with the established norms within risk assessment. When there is insufficient knowledge, stakeholders active in early developmental stages (e.g., researchers) could provide necessary knowledge by conducting research specifically devoted to what these unknown risks could entail. In theory, the Safe-by-Design (SbD) approach could enable such a controlled learning environment to gradually identify what these uncertain risks are, to which we refer as responsible learning. In this paper, we argue that three conditions need to be present to enable such an environment: (1) regulatory flexibility, (2) co-responsibility between researchers and regulators, and (3) openness towards all stakeholders. If one of these conditions would not be present, the SbD approach cannot be implemented to its fullest potential, thereby limiting an environment for responsible learning and possibly leaving current policy behind to anticipate uncertain risks. (shrink)

A philosophy of the future sees the world as an unfinished process, as a continuous tendency toward new horizons. Within this process, what matters most is the tendency itself, more than its starting and ending points. To understand this situation, one needs an ontology of the not-yet, of being as processual, and therefore of being understood as an incomplete, still unfolding reality, indeterminate with respect to its endpoint, leaving room for entirely new determinations as well as for growing or maturing (...) ones. A philosophy of the future provides guidance for distinguishing genuine from not genuine futures. Similarly, it distinguishes between utopia as focused on the endpoint and utopia as focused on everyday life, especially its humblest, tiniest aspects – which is a way of saying that the roots of the future are in the present, if only we learn to see them. (shrink)

Across America, especially in the aftermath of 9/11, parents rely on K12 schooling to prepare their children for the shocks, the perils, and especially the bright possibilities that are part of our warp-speed future. A new generation of school staffers is forging a fresh learning partnership with youngsters for whom creative computer-based schooling is as natural as breathing.

Derived from Heidegger's interpretation of attractive force with a high volume of inspired beauty care and a master not only the followers. And in order to maintain this special, he followed the great classical psychologists: Ferdinand learning. He also won in the traditional school psychology professor at the certificate, but his real motive is not subject to the ancient hope臘Heidegger was carried out by the interpretation of the full amount of impact force. Nevertheless, Heidegger's classic is still up to (...) the United States: "true management and methods" to maintain significant influence over. Up to the United States as a major interpreter of Heidegger's thinking, and faithful friend. In about two more people, I turned to introduce three other in Heidegger, Gadamer's major research on the influence of the philosopher: Park Latin chart, sub-km Aristotle and Hegel. First we look at the future Park Latin chart, I think the focus on conversation and dialogue up to the United States and the "dialectic dialogue" concept. The relative importance of making it true, so true that people with reasonable doubt and dialogue. Although there are many plans to pull up to the United States Park effect, but I make up as two points and a U.S. interlocutor's talent and try to prove. I have given up by the United States with three coming from Aristotle's concept of sub-km: wise , mimetic and tragedy. Wise is to predict the results of practical wisdom for the rational, he does not see a formula-based learning, as can be, but based on life experience. That mimic the Department of Aristotle in the sub-km only copy, and is reasonable in real life, the ultimate communicator. Finally, the tragedy is not the only sub-km Aristotle considers the six parts of the structure, but compassion and fear the experience of change in the audience angle of view, it is up to the United States in view of the viewer's experience of understanding and application, is a kind of tragedy action meaningful participation and experience. Beneficiary of up to U.S. history in Hegel's awareness of personal, Hegel's dialectic, as well as their knowledge to the arts is the current acceptance of the senses. He does not agree with Hegel referred to the "art of the past things," Hegel explains how this point. Shortly we will be able to see the remarkable work of art as a nervous balcony. Let me give you a visit in Heidelberg, Heidegger's experience in the United States up to the lecture, he objected to clarify and to hide his own dialectic and Hegel's dialectic with links, because at the end of Hegel's philosophy of total abstraction knowledge. In the second part of this lecture, I turned to the analysis of Gadamer's thesis on the art of "the relevance of the United States," and Heidegger in this direction is the famous "Art works of origin> thesis compared. In the late writings, Heidegger shows that there is not his main independent and self-study will be presented in the art of the earth and the world as a tension. In Gadamer's thesis in art, he follows Heidegger in the hope臘by establishing the art of human culture, learn the origin of works of art ontology analysis. He discussed all the cultural roots of the game , the difference between symbolic meaning and religious ceremonies. But he formed an art theory of the problem to analyze, it also clarifies the classical art and contemporary abstract art. In these three elements: the game, symbols and festivals, art up to the United States to find a structure is more deep cultural roots. As in the early hope臘ceremony, dance performances and tragedy. Gadamer's encounter with the magnetic force of Heidegger's interpretations made him cautious not to become simply a follower of the great master. To maintain his independence, he studied with Paul Friedländer, the great classical philologist. He attained certification in classical philology to teach in the secondary schools, but his true motive was to be able to resist the powerful interpretations of Greek philosophy put forward by Heidegger. Nevertheless, Heidegger remained a major leavening influence on Gadamer's classic, Truth and Method, and Gadamer became a major interpreter of Heidegger's thought, and a constant friend. After a few comparisons between them, I turn to three major philosophers other than Heidegger who contributed concepts to Gadamer's masterwork: Plato, Aristotle, and Hegel. Regarding Plato, I point to the emphasis in Gadamer on dialogue and conversation and the concept of eumeneis elenchoi, the respect the opponent that recognizes that he could be right, so they join together in dialogue in quest of the truth. Although there are many other debts to Plato in Gadamer, I point to these two and testify to Gadamer's gifts as a conversationalist and debater. I single out three concepts of Aristotle that Gadamer used: phronesis, mimesis, and tragedy. Phronesis is the practical wisdom that goes beyond calculative reason. It is based not on formulas that can be learned but on experience of life . Mimesis in Aristotle is not just copying, but on a recognition that ultimately conveyed truth about life. Finally, tragedy for Aristotle is not just a structure with six parts but an experience of pity and terror that transformed the perspective of the viewer. This was important in the hermeneutics of Gadamer that looked at the viewer's experience of recognition and application, a participatory experience of the meaning of the action of the tragedy. Gadamer is indebted to Hegel for the historical character of consciousness, the Hegelian dialectic, and the recognition that that art is a sensuous representation of the real. He did not agree with Hegel that art was a thing of the past, and also explained what Hegel meant by this: we no longer saw art as a disclosure of the divine. I mention an experience I had of Heidegger's visit to Heidelberg, where he spoke after Gadamer's lecture rejecting his effort to connect his dialect of clearing and concealing with Hegelian dialectic, because Hegel's philosophy always ended in absolute knowledge. For the second major part of the lecture, I turn to an analysis of Gadamer's essay on art, The Relevance of the Beautiful , comparable in a way to Heidegger's famous lectures on The Origin of the Work of Art . In the latter work, Heidegger declares his independence of his masterwork and presents art in terms of the tension between earth and world. In Gadamer's essay on art, he goes beyond the Heideggerian emphasis on the ontology of the artwork by seeking to establish the anthropological roots of art in Greek culture. He discusses the roots of all culture in play, the significance of the symbol, and the meaning of religious festivals. But he begins with an analysis of the problem of formulating a theory of art that does justice both to classical art and contemporary nonrepresentational art. In all three elements, play, symbol, and festival, Gadamer finds a foundation for art in the deep roots of our culture as found in the ritual, dance, and tragic plays of ancient Greece. (shrink)

In this paper, I argue that the temporal openness of perceptual experience provides insight into the basic structure of learning. I draw on Husserl's account of the mutability of the retained past in Analyses Concerning Passive and Active Synthesis, and Merleau‐Ponty's account of the perceptual field, as well as his remarks on habit, in Phenomenology of Perception, in order to elucidate the relation between the perceptual past and the future it portends. More specifically, I argue that retention and habituation (...) in perceptual experience open dimensions of meaning that transform the initial, initiating, experiences in which meaning is first established. As a result, our experience of meaning is always subject to further development that we cannot anticipate. This temporal openness has consequences for our learning to navigate a perceptual field, but also, I argue, for our developing more complex ways of engaging with the world. Specifically, I show how learning requires that we commit ourselves to an object or task before we are in a position to recognize the implications or significance of our commitment. I further consider the role that others play in the inherent openness of learning to the development of new meaning. (shrink)

In this volume, Julinna Oxley and Ramona Ilea bring together essays that examine and defend the use of experiential learning activities to teach philosophical terms, concepts, arguments, and practices. Experiential learning emphasizes the importance of student engagement outside the traditional classroom structure. Service learning, studying abroad, engaging in large-scale collaborative projects such as creating blogs, websites and videos, and practically applying knowledge in a reflective, creative and rigorous way are all forms of experiential learning. Taken together, (...) the contributions to Experiential Learning in Philosophy argue that teaching philosophy is about doing philosophy with others. The book is divided into two sections: essays that engage in the philosophical debate about defining and implementing experiential learning, and essays that describe how to integrate experiential learning into the teaching of philosophy. Experiential Learning in Philosophy provides a timely reflection on best practices for teaching philosophical ideals and theories, an examination of the evolution of the discipline of philosophy and its adoption of active modes of learning, and an anticipation of the ways in which pedagogical practices will continue to evolve in the 21 st century. (shrink)

People are using the future to search for better ways to achieve sustainability, inclusiveness, prosperity, well-being and peace. In addition, the way the future is understood and used is changing in almost all domains, from social science to daily life. This book presents the results of significant research undertaken by UNESCO with a number of partners to detect and define the theory and practice of anticipation around the world today. It uses the concept of ‘Futures Literacy’ as a tool to (...) define the understanding of anticipatory systems and processes – also known as the Discipline of Anticipation. This innovative title explores: • new topics such as Futures Literacy and the Discipline of Anticipation; • the evidence collected from over 30 Futures Literacy Laboratories and presented in 14 full case studies; • the need and opportunity for significant innovation in human decision-making systems. This book will be of great interest to scholars, researchers, policy-makers and students, as well as activists working on sustainability issues and innovation, future studies and anticipation studies. The Open Access version of this book, available at https://www.taylorfrancis.com/books/e/9781351047999, has been made available under a Attribution-NonCommercial-NoDerivs 3.0 IGO (CC-BY-NC-ND 3.0 IGO) license. (shrink)

The deep comprehension of a text is tantamount to the construction of an articulated mental model of that text. The number of correct recollections is an index of a learner's mental model of a text. We assume that another index of comprehension is the timing of the gestures produced during text recall; gestures are simultaneous with speech when the learner has built an articulated mental model of the text, whereas they anticipate the speech when the learner has built a less (...) articulated mental model. The results of four experiments confirm the predictions deriving from our assumptions for both children and adults. Provided that the recollections are correct, the timing of gestures can differ and can be considered a further measure of the quality of the mental model, beyond the number of correct recollections. (shrink)

The detection and categorization of animate motions is a crucial task underlying social interaction and perceptual decision making. Neural representations of perceived animate objects are partially located in the primate cortical region STS, which is a region that receives convergent input from intermediate-level form and motion representations. Populations of STS cells exist which are selectively responsive to specific animated motion sequences, such as walkers. It is still unclear how and to what extent form and motion information contribute to the generation (...) of such representations and what kind of mechanisms are involved in the learning processes. The article develops a cortical model architecture for the unsupervised learning of animated motion sequence representations. We demonstrate how the model automatically selects significant motion patterns as well as meaningful static form prototypes characterized by a high degree of articulation. Such key poses are selectively reinforced during learning through a cross talk between the motion and form processing streams. Furthermore, we show how sequence-selective representations are learned in STS by fusing static form and motion input from the segregated bottom-up driving input streams. Cells in STS, in turn, feed their activities recurrently to their input sites along top-down signal pathways. We show how such learned feedback connections enable predictions about future input as anticipation generated by sequence-selective STS cells. Network simulations demonstrate the computational capacity of the proposed model by reproducing several experimental findings from neurosciences and by accounting for recent behavioral data. (shrink)

We studied collaborative skill acquisition in a dynamic setting with the game Co-op Space Fortress. While gaining expertise, the majority of subjects became increasingly consistent in the role they adopted without being able to communicate. Moreover, they acted in anticipation of the future task state. We constructed a collaborative skill acquisition model in the cognitive architecture ACT-R that reproduced subject skill acquisition trajectory. It modeled role adoption through reinforcement learning and predictive processes through motion extrapolation and learned relevant control (...) parameters using both a reinforcement learning procedure and a new to ACT-R supervised learning procedure. This is the first integrated cognitive model of collaborative skill acquisition and, as such, gives us valuable insights into the multiple cognitive processes that are involved in learning to collaborate. (shrink)

Evidence from numerous studies using the visual world paradigm has revealed both that spoken language can rapidly guide attention in a related visual scene and that scene information can immediately influence comprehension processes. These findings motivated the coordinated interplay account (Knoeferle & Crocker, 2006) of situated comprehension, which claims that utterance‐mediated attention crucially underlies this closely coordinated interaction of language and scene processing. We present a recurrent sigma‐pi neural network that models the rapid use of scene information, exploiting an utterance‐mediated (...) attentional mechanism that directly instantiates the CIA. The model is shown to achieve high levels of performance (both with and without scene contexts), while also exhibiting hallmark behaviors of situated comprehension, such as incremental processing, anticipation of appropriate role fillers, as well as the immediate use, and priority, of depicted event information through the coordinated use of utterance‐mediated attention to the scene. (shrink)

The import of computational learning theories and techniques on the ethics of human-robot interaction is explored in the context of recent developments of personal robotics. An epistemological reflection enables one to isolate a variety of background hypotheses that are needed to achieve successful learning from experience in autonomous personal robots. The conjectural character of these background hypotheses brings out theoretical and practical limitations in our ability to predict and control the behaviour of learning robots in their interactions (...) with humans. Responsibility ascription problems, which concern damages caused by learning robot actions, are analyzed in the light of these epistemic limitations. Finally, a broad framework is outlined for ethically motivated scientific inquiries, which aim at improving our capability to understand, anticipate, and selectively cope with harmful errors by learning robots. (shrink)

The mind's basic task is to organize adaptive behaviour. I argue that necessary conditions to achieve this are acquiring a 'body-self', a differentiated perception, motor intuition, and motor control. The latter three can be learnied implicitly by crosswise comparing the perceived actual situation, the desired situation, the perceived result and the anticipated result.

Hans Hahn's long-neglected philosophy of mathematics is reconstructed here with an eye to his anticipation of the doctrine of logical pluralism. After establishing that Hahn pioneered a post-Tractarian conception of tautologies and attempted to overcome the traditional foundational dispute in mathematics, Hahn's and Carnap's work is briefly compared with Karl Menger's, and several significant agreements or differences between Hahn's and Carnap's work are specified and discussed.

Previous research suggests that implicit sequence learning is superior for believers in the paranormal and individuals with increased cerebral dopamine. Thirty-five healthy participants performed feedback-guided anticipations of four arrow directions. A 100-trial random sequence preceded two 100-trial biased sequences in which visual targets on trial t tended to be displaced 90° clockwise or counter-clockwise from those on t − 1. ISL was defined as a positive change during the course of the biased run in the difference between pro-bias and (...) counter-bias responses. It was hypothesized that this difference would be greater for believers in the paranormal than for skeptics, for those who received dopamine than for those who received placebo, and for believers who received dopamine than for the other groups. None of the hypotheses were supported by the data. It is suggested that a simple binary guessing task with a focus on prediction accuracy during early trials should be considered for future explorations. (shrink)

We address the issue of the normativity of representation and how Grush might address it for emulations as constituting representations. We then proceed to several more detailed issues concerning the learning of emulations, a possible empirical counterexample to Grush's model, and the choice of Kalman filters as the form of model-based control.

This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to (...) what needs to be done to achieve an acceptable level of explainability in an ML algorithm when it is used in a healthcare context. (shrink)

Several canonical experimental paradigms have been proposed to study the typical behavioral phenomenon and the nature of learning in sequential keypress tasks. A characteristic feature of most paradigms is that they are representative of externally-specified sequencing—motor tasks where the environment or task paradigm extrinsically provides the sequence of stimuli, i.e., the responses are stimulus-driven. Previous studies utilizing such canonical paradigms have largely overlooked the learning behaviors in a more realistic class of motor tasks that involve internally-guided sequencing—where the (...) sequence of motor actions is self-generated or internally-specified. In this work, we use the grid-navigation task as an instance of internally-guided sequencing to investigate the nature of learning in such paradigms. The participants performed Grid-Sailing Task, which required navigating a 5 × 5 grid from start to goal position while using a particular key-mapping among the three cursor-movement directions and the three keyboard buttons. The participants performed two behavioral experiments—Single-SG and Mixed-SG condition. The Single-SG condition required performing GST on a single SG position repeatedly, whereas the Mixed-SG condition involved performing GST using the same KM on two novel SG positions presented in a random, inter-mixed manner. In the Single-SG condition, we show that motor learning contributes to the sequence-specific learning in GST with the repeated execution of the same trajectories. In the Mixed-SG condition, since the participants utilize the previously learned KM, we anticipate a transfer of learning from the Single-SG condition. The acquisition and transfer of a KM-specific internal model facilitates efficient trajectory planning on novel SG conditions. The acquisition of such a KM-specific internal model amounts to trajectory-independent cognitive learning in GST. We show that cognitive learning contributes to the learning in GST by showing transfer-related performance improvements in the Mixed-SG condition. In sum, we show the role of cognitive and motor learning processes in internally-guided sequencing and further make a case for using GST-like grid-navigation paradigms in investigating internally guided skill learning. (shrink)

Imagine putting together a jigsaw puzzle that works like the board game in the movie “Jumanji”: When you finish, whatever the puzzle portrays becomes real. The children playing “Jumanji” learn to prepare for the reality that emerges from the next throw of the dice. But how would this work for the puzzle of scientific research? How do you prepare for unlocking the secrets of the atom, or assembling from the bottom-up nanotechnologies with unforeseen properties – especially when completion of such (...) puzzles lies decades after the first scattered pieces are tentatively assembled? In the inaugural issue of this journal, Michael Polanyi argued that because the progress of science is unpredictable, society must only move forward with solving the puzzle until the picture completes itself. Decades earlier, Frederick Soddy argued that once the potential for danger reveals itself, one must reorient the whole of one’s work to avoid it. While both scientists stake out extreme positions, Soddy’s approach – together with the action taken by the like-minded Leo Szilard – provides a foundation for the anticipatory governance of emerging technologies. This paper narrates the intertwining stories of Polanyi, Soddy and Szilard, revealing how anticipation influenced governance in the case of atomic weapons and how Polanyi’s claim in “The Republic of Science” of an unpredictable and hence ungovernable science is faulty on multiple levels. (shrink)

Constructive technology assessment aims at anticipating societal impacts of technological innovations and suggests incorporating reflexivity and social learning into technology development. Social learning involves fostering the ability of diverse social actors to cultivate sociotechnical critical skills, thus allowing technological and social change to be governed with consideration for social values and diverging interests. Based on this demand, our paper presents a discourse-theoretical, interventionist approach to software design introducing deconstruction and (un-)learning as reflective practices to guide development processes. (...) Inspired by Donna Haraway’s focus on power relations in technoscience culture, our approach—called ‘deconstructive design’—traces how structures such as in/formal hierarchies and discursive hegemonies affect the development processes and design decisions of teams or communities of practices. The underlying deconstructivist methodology refers to practice-based concepts of situated learning. Thus, it locates a potential for value-based intervention at the micro/meso-level of everyday work practices. (shrink)