Transitional Gradation in the Mind: Rethinking Psychological Kindhood

I here critique the application of the traditional, similarity-based account of natural kinds to debates in psychology. A challenge to such accounts of kindhood—familiar from the study of biological species—is a metaphysical phenomenon that I call ‘transitional gradation’: the systematic progression of slightly modified transitional forms between related candidate kinds. Where such gradation proliferates, it renders the selection of similarity criteria for kinds arbitrary. Reflection on general features of learning—especially on the gradual revision of concepts throughout the acquisition of expertise—shows that even the strongest candidates for similarity-based kinds in psychology exhibit systematic transitional gradation. As a result, philosophers of psychology should abandon discussion of kindhood, or explore non-similarity based accounts

The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry

In this paper we advocate the application of Artificial Intelligence techniques to quality assessment of food products. Machine Learning algorithms can help us to: (a) extract operative human knowledge from a set of examples; (b) conclude interpretable rules for classifying samples regardless of the non-linearity of the human behaviour or process; and (c) help us to ascertain the degree of influence of each objective attribute of the assessed food on the final decision of an expert. We illustrate these topics with an example of how it is possible to clone the behaviour of bovine carcass classifiers, leading to possible further industrial application

Communication as a Meta-Theory for Judgment and Decision-Making

Within the behavioral sciences, a substantial and influential body of research concerns judgment and decision-making (JDM). In general terms, this field investigates the process of decision-making, with its three core elements: evaluations or estimates of alternatives (judgments), how they are weighed according to personal characteristics (preferences) and integrated to pursue a course of action (choice; Fischhoff & Broomell, 2020). The psychological inquiry into JDM has been dominated by economic theories (mainly expected utility theory, Von Neumann & Morgenstern, 1944), social cognition (particularly dual process theories, e.g., Chaiken, 1980) and ecological approaches (e.g., Gigerenzer & Selten, 2002). Meanwhile, the investigation of communication processes only played a minor role in JDM theorizing, with some notable exceptions (e.g., Hilton, 1995). Spanning several phenomena and experimental paradigms central to JDM research, this thesis uses influential conceptualizations of communication introduced in Chapter 2 for novel theorizing about judgment and decision-making. In Chapter 3, seeing the research procedure as communication suggests that participants expect the researcher to communicate cooperatively and thus give responses corresponding to a classic cognitive illusion, the hindsight bias. Chapter 4 then focuses on competitive uses of communication by subtle means and how they can be used to discourage participants from following a testable, normative mental model for decision-making. Extending beyond the influence of cooperative and competitive pragmatics, Chapter 5 explores how a focus on the structure of the sign system, particularly that concepts may share the same cues, sheds new light on illusory correlations in judgments. In summary, this work furthers a communication perspective within the theoretical landscape of JDM research, in which social cognition, economic theories, and the ecological approach prevail

The semantics of similarity in geographic information retrieval

Similarity measures have a long tradition in fields such as information retrieval artificial intelligence and cognitive science. Within the last years these measures have been extended and reused to measure semantic similarity; i.e. for comparing meanings rather than syntactic differences. Various measures for spatial applications have been developed but a solid foundation for answering what they measure; how they are best applied in information retrieval; which role contextual information plays; and how similarity values or rankings should be interpreted is still missing. It is therefore difficult to decide which measure should be used for a particular application or to compare results from different similarity theories. Based on a review of existing similarity measures we introduce a framework to specify the semantics of similarity. We discuss similarity-based information retrieval paradigms as well as their implementation in web-based user interfaces for geographic information retrieval to demonstrate the applicability of the framework. Finally we formulate open challenges for similarity research

"I think they believe in me": The predictive effects of teammate- and classmate-focused relation-inferred self-efficacy in sport and physical activity settings

Despite the prevalence of group-/team-based enactment within sport and physical activity settings, to this point the study of relation-inferred self-efficacy (RISE) has been focused upon estimations regarding a single target individual (e.g., one’s coach). Accordingly, researchers have not yet considered whether individuals may also form RISE estimations regarding the extent to which the others in their group/team as a whole are confident in their ability. We applied structural equation modeling analyses with cross-sectional and prospective data collected from members of interdependent sport teams (Studies 1 and 2) and undergraduate physical activity classes (Studies 3 and 4), with the purpose of exploring these group-focused RISE inferences. Analyses showed that group-focused RISE perceptions (a) predicted individuals’ confidence in their own ability, (b) were empirically distinct from conceptually related constructs, and (c) directly and/or indirectly predicted a range of downstream outcomes over and above the effects of other efficacy perceptions. Taken together, these findingsprovide preliminary evidence that individuals’ group-focused RISE appraisals may be important to consider when investigating the network of efficacy perceptions that develops in group-based physical activity contexts

Experimentally revealed stochastic preferences for multicomponent choice options.

Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multicomponent choice options? Here, we measured how stochastic choices revealed preferences for 2-component milkshakes. The preferences were intuitively graphed as indifference curves that represented the orderly integration of the 2 components as trade-off: parts of 1 component were given up for obtaining 1 additional unit of the other component without a change in preference. The well-ordered, nonoverlapping curves satisfied leave-one-out tests, followed predictions by machine learning decoders and correlated with single-dimensional Becker-DeGroot-Marschak (BDM) auction-like bids for the 2-component rewards. This accuracy suggests a decision process that integrates multiple reward components into single-dimensional estimates in a systematic fashion. In interspecies comparisons, human performance matched that of highly experienced laboratory monkeys, as measured by accuracy of the critical trade-off between bundle components. These data describe the nature of choices of multicomponent choice options and attest to the validity of the rigorous economic concepts and their convenient graphic schemes for explaining choices of human and nonhuman primates. The results encourage formal behavioral and neural investigations of normal, irrational, and pathological economic choices. (PsycInfo Database Record (c) 2020 APA, all rights reserved)

The X-Factor: On the Relevance of Implicit Leadership and Followership Theories for Leader-Member Exchange (LMX) Agreement

While Leader-Member Exchange (LMX) research shows that leaders engage in different kinds of relationships with different followers, it remains somewhat of an enigma why one and the same relationship is often rated differently by a leader and the respective follower. We seek to fill that conceptual void by explaining when and why such LMX disagreement is likely to occur. To do so, we reconsider antecedents of LMX quality perceptions and outline how each party’s LMX quality perception is primarily dependent on the perceived contributions of the other party, moderated by perceived own contributions. We then integrate the notion of Implicit Leadership and Followership Theories (ILTs and IFTs) to argue that the currencies of contributions differ between leaders and followers. This dyadic model sets the stage to explain that LMX disagreement can stem from (1) differences in both parties’ ILTs as well as both parties’ IFTs, but also from (2) differences in perceptions of own and other’s behavior. We conclude by discussing communication as a means of overcoming LMX disagreement and propose an array of potential studies along the lines of our conceptualization