Building Cognition: The Construction of Computational Representations for Scientific Discovery

Novel computational representations, such as simulation models of complex systems and video games for scientific discovery (Foldit, EteRNA etc.), are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model‐building by an engineer that led to a remarkable discovery in basic bioscience. Accounting for such discoveries requires a distributed cognition (DC) analysis, as DC focuses on the roles played by external representations in cognitive processes. However, DC analyses by and large have not examined scientific discovery, and they mostly focus on memory offloading, particularly how the use of existing external representations changes the nature of cognitive tasks. In contrast, we study discovery processes and argue that discoveries emerge from the processes of building the computational representation. The building process integrates manipulations in imagination and in the representation, creating a coupled cognitive system of model and modeler, where the model is incorporated into the modeler's imagination. This account extends DC significantly, and we present some of the theoretical and application implications of this extended account.     

Modified CBT using visualization for Autism Spectrum Disorder (ASD), anxiety and avoidance behavior – a quasi‐experimental open pilot study

In recent studies it has been suggested that Cognitive Behavior Therapy (CBT) is beneficial to people with Autism Spectrum Disorder (ASD) but that the method needs to be modified in relation to their cognitive profile. The aim of this study is to measure the effect of modified CBT, that is, using visualized language throughout the entire session for clients with ASD and anxiety and avoidance behavior. The modification of CBT in this study consists of focusing on CBT protocols for anxiety disorders and depression, while visualizing and systematizing “the invisible” in the conversation, in order for the clients to understand the social, cognitive and emotional context of self and others and how they should interact to avoid misunderstandings. ASD clients may need help to detect the invisible code of social interaction and communication. The level of anxiety and the frequency of target behavior were measured. Four assessments were made, two at the pre‐assessment, and one in mid‐therapy and end of therapy respectively. Generally, results suggest no improvement during pre‐treatment period but a significant improvement during treatment. The values of the clients' psychological, social and occupational ability to function improved on the Global Function Rating scale. The preliminary conclusion of this pilot study indicates that the use of visualized language throughout the CBT therapy sessions is a promising modification of current CBT protocols for individuals with ASD. After manualization, larger studies with randomized controlled study designs can replicate or challenge these results.     

Triple Bottomline Many‐Objective‐Based Decision Making for a Land Use Management Problem

A land use many‐objective optimization problem for a 1500‐ha farm with 315 paddocks was formulated with 14 objectives (maximizing sawlog production, pulpwood production, milksolids, beef, sheep meat, wool, carbon sequestration, water production, income and Earnings Before Interest and Tax; and minimizing costs, nitrate leaching, phosphorus loss and sedimentation). This was solved using a modified Reference‐point‐based Non‐dominated Sorting Genetic Algorithm II augmented by simulated epigenetic operations. The search space had complex variable interactions and was based on economic data and several interoperating simulation models. The solution was an approximation of a Hyperspace Pareto Frontier (HPF), where each non‐dominated trade‐off point represented a set of land‐use management actions taken within a 10‐year period and their related management options, spanning a planning period of 50 years. A trade‐off analysis was achieved using Hyper‐Radial Visualization (HRV) by collapsing the HPF into a 2‐D visualization capability through an interactive virtual reality (VR)‐based method, thereby facilitating intuitive selection of a sound compromise solution dictated by the decision makers' preferences under uncertainty conditions. Four scenarios of the HRV were considered emphasizing economic, sedimentation and nitrate leaching aspects—giving rise to a triple bottomline (i.e. the economic, environmental and social complex, where the social aspect is represented by the preferences of the various stakeholders). Highlights of the proposed approach are the development of an innovative epigenetics‐based multi‐objective optimizer, uncertainty incorporation in the search space data and decision making on a multi‐dimensional space through a VR‐simulation‐based visual steering process controlled at its core by a multi‐criterion decision making‐based process. This approach has widespread applicability to many other ‘wicked’ societal problem‐solving tasks. Copyright © 2014 John Wiley & Sons, Ltd.     

Friends at last? Distributed cognition and the cognitive/social divide

Distributed cognition (d-cog) claims that many cognitive processes are “distributed” across groups and the surrounding material and cultural environment. Recently, Nancy Nersessian, Ronald Giere, and others have suggested that a d-cog approach might allow us to bring together cognitive and social theories of science. I explore this idea by focusing on the specific interpretation of d-cog found in Edwin Hutchins' canonical text Cognition in the wild. First, I examine the scope of a d-cog approach to science, showing that there are important disputes between cognitive and social theorists on which d-cog remains silent. Second, I suggest that, where social explanations can be recast in d-cog terms, this reformulation will not be acceptable to all social theorists. Finally, I ask how we should make sense of the claim that, on a d-cog analysis, social factors are cognitive factors.     

Culture,Perception, and Artistic Visualization: A Comparative Study of Children's Drawings in Three Siberian Cultural Groups

In a study of three indigenous and non‐indigenous cultural groups in northwestern and northeastern Siberia, framed line tests and a landscape drawing task were used to examine the hypotheses that test‐based assessments of context sensitivity and independence are correlated with the amount of contextual information contained in drawings, and with the order in which the focal and background objects are drawn. The results supported these hypotheses, and inspection of the regression relationships suggested that the intergroup variations in test performance were likely to result from differences in the attention accorded to contextual information, as revealed by the drawings. Social and environmental explanations for the group differences in context sensitivity are also discussed. The conclusions support the argument that cultural differences in artistic styles and perceptual tests reflect the same underlying perceptual tendencies, and they are consistent with the argument that these tendencies reflect corresponding differences in patterns of social and environmental interaction.     

Gendering career capital: An investigation of scientific careers

In this article we reflect on the increasingly popular concept of career capital, and apply the concept to data generated with a sample of women scientists. We propose that by examining career capital through a ‘gendered lens’ we can provide insight into structural constraint, often missing in discussions of this concept. Based on the findings from in-depth interviews with 31 women scientists, ranging from post-doctoral researcher to professor, we argue that even within occupational fields the notion of capital must be seen as differentiated, not only in terms of its meaning and expression within these fields, but also in terms of its availability. Thus we suggest that in analyzing careers we should examine deficits and impediments alongside capital, whilst maintaining awareness of social structural constraint.     

Against Teleological Essentialism

In two recent papers, Rose and Nichols present evidence in favor of the view that humans represent category essences in terms of a telos, such as honey-making, and not in terms of scientific essences, such as bee DNA. Here, I challenge their interpretation of the evidence and show that it is directly predicted by the main theory they seek to undermine. I argue that their results can be explained as instances of diagnostic reasoning about scientific essences.     

Using logic programming for theory representation and scientific inference

The aim of this paper is to show that logic programming is a powerful tool for representing scientific theories and for scientific inference. In a logic program it is possible to encode the qualitative and quantitative components of a theory in first order predicate logic, which is a highly expressive formal language. A theory program can then be handed to an algorithm that reasons about the theory. We discuss the advantages of logic programming with regard to building formal theories and present a novel software package for scientific inference: Theory Toolbox. Theory Toolbox can derive any conclusions that are entailed by a theory, explain why a certain conclusion follows from a theory, and evaluate a theory with regard to its internal coherence and generalizability. Because logic is, or should be, a cornerstone of scientific practice, we believe that our paper can make an important contribution to scientific psychology.