Butz, Achimova, Bilkey, and Knott provide a topic overview and discuss whether the special issue contributions may imply that event‐predictive abilities constitute a root for conceptual human thought, because they enable complex, mutually beneficial, but also intricately competitive, social interactions and language communication.

Butz, Achimova, Bilkey, and Knott provide a topic overview and discuss whether the special issue contributions may imply that event‐predictive abilities constitute a root for conceptual human thought, because they enable complex, mutually beneficial, but also intricately competitive, social interactions and language communication.

This paper proposes how various disciplinary theories of cognition may be combined into a unifying, sub-symbolic, computational theory of cognition. The following theories are considered for integration: psychological theories, including the theory of event coding, event segmentation theory, the theory of anticipatory behavioral control, and concept development; artificial intelligence and machine learning theories, including reinforcement learning and generative artificial neural networks; and theories from theoretical and computational neuroscience, including predictive coding and free energy-based inference. In the light of such a (...) potential unification, it is discussed how abstract cognitive, conceptualized knowledge and understanding may be learned from actively gathered sensorimotor experiences. The unification rests on the free energy-based inference principle, which essentially implies that the brain builds a predictive, generative model of its environment. Neural activity-oriented inference causes the continuous adaptation of the currently active predictive encodings. Neural structure-oriented inference causes the longer term adaptation of the developing generative model as a whole. Finally, active inference strives for maintaining internal homeostasis, causing goal-directed motor behavior. To learn abstract, hierarchical encodings, however, it is proposed that free energy-based inference needs to be enhanced with structural priors, which bias cognitive development towards the formation of particular, behaviorally suitable encoding structures. As a result, it is hypothesized how abstract concepts can develop from, and thus how they are structured by and grounded in, sensorimotor experiences. Moreover, it is sketched-out how symbol-like thought can be generated by a temporarily active set of predictive encodings, which constitute a distributed neural attractor in the form of an interactive free-energy minimum. The activated, interactive network attractor essentially characterizes the semantics of a concept or a concept composition, such as an actual or imagined situation in our environment. Temporal successions of attractors then encode unfolding semantics, which may be generated by a behavioral or mental interaction with an actual or imagined situation in our environment. Implications, further predictions, possible verification and falsifications, as well as potential enhancements into a fully spelled-out unified theory of cognition are discussed at the end of the paper. (shrink)

This book offers an interdisciplinary introduction to embodied cognitive science, addressing the question of how the mind comes into being while actively interacting with and learning from the environment by means of the own body. By pursuing a functional and computational perspective, concrete answers are provided about the fundamental mechanisms and developing structures that must bring the mind about, taking into account insights from biology, neuroscience, psychology, and philosophy as well as from computer science, machine learning, and artificial intelligence.

Pursuing a precise, focused train of thought requires cognitive effort. Even more effort is necessary when more alternatives need to be considered or when the imagined situation becomes more complex. Cognitive resources available to us limit the cognitive effort we can spend. In line with previous work, an information-theoretic, Bayesian brain approach to cognitive effort is pursued: to solve tasks in our environment, our brain needs to invest information, that is, negative entropy, to impose structure, or focus, away from a (...) uniform structure or other task-incompatible, latent structures. To get a more complete formalization of cognitive effort, a resourceful event-predictive inference model is introduced, which offers computational and algorithmic explanations about the latent structure of our generative models, the active inference dynamics that unfold within, and the cognitive effort required to steer the dynamics—to, for example, purposefully process sensory signals, decide on responses, and invoke their execution. REPI suggests that we invest cognitive resources to infer preparatory priors, activate responses, and anticipate action consequences. Due to our limited resources, though, the inference dynamics are prone to task-irrelevant distractions. For example, the task-irrelevant side of the imperative stimulus causes the Simon effect and, due to similar reasons, we fail to optimally switch between tasks. An actual model implementation simulates such task interactions and offers first estimates of the involved cognitive effort. The approach may be further studied and promises to offer deeper explanations about why we get quickly exhausted from multitasking, how we are influenced by irrelevant stimulus modalities, why we exhibit magnitude interference, and, during social interactions, why we often fail to take the perspective of others into account. (shrink)

Cognitive Science, Volume 45, Issue 8, August 2021.

In line with Allen Newell's challenge to develop complete cognitive architectures, and motivated by a recent proposal for a unifying subsymbolic computational theory of cognition, we introduce the cognitive control architecture SEMLINCS. SEMLINCS models the development of an embodied cognitive agent that learns discrete production rule-like structures from its own, autonomously gathered, continuous sensorimotor experiences. Moreover, the agent uses the developing knowledge to plan and control environmental interactions in a versatile, goal-directed, and self-motivated manner. Thus, in contrast to several well-known (...) symbolic cognitive architectures, SEMLINCS is not provided with production rules and the involved symbols, but it learns them. In this paper, the actual implementation of SEMLINCS causes learning and self-motivated, autonomous behavioral control of the game figure Mario in a clone of the computer game Super Mario Bros. Our evaluations highlight the successful development of behavioral versatility as well as the learning of suitable production rules and the involved symbols from sensorimotor experiences. Moreover, knowledge- and motivation-dependent individualizations of the agents’ behavioral tendencies are shown. Finally, interaction sequences can be planned on the sensorimotor-grounded production rule level. Current limitations directly point toward the need for several further enhancements, which may be integrated into SEMLINCS in the near future. Overall, SEMLINCS may be viewed as an architecture that allows the functional and computational modeling of embodied cognitive development, whereby the current main focus lies on the development of production rules from sensorimotor experiences. (shrink)

Spatial, physical, and semantic magnitude dimensions can influence action decisions in human cognitive processing and interact with each other. For example, in the SNARC effect, semantic numerical magnitude facilitates left-hand or right-hand responding dependent on the small or large magnitude of number symbols. SNARC-like interactions of numerical magnitudes with the radial spatial dimension (depth) were postulated from early on. Usually, the SNARC effect in any direction is investigated using fronto-parallel computer monitors for presentation of stimuli. In such 2D setups, however, (...) the metaphorical and literal interpretation of the radial depth axis with seemingly close / far stimuli or responses are not distinct. Hence, it is difficult to draw clear conclusions with respect to the contribution of different spatial mappings to the SNARC effect. In order to disentangle the different mappings in a natural way, we studied parametrical interactions between semantic numerical magnitude, horizontal directional responses, and perceptual distance by means of stereoscopic depth in an immersive virtual reality (VR). Two VR experiments show horizontal SNARC effects across all spatial displacements in traditional latency measures and kinematic response parameters. No indications of a SNARC effect along the depth axis, as it would be predicted by a direct mapping account, were observed, but the results show a non-linear relationship between horizontal SNARC slopes and physical distance. Steepest SNARC slopes were observed for digits presented close to the hands. We conclude that spatial-numerical processing is susceptible to effector-based processes but relatively resilient to task-irrelevant variations of radial-spatial magnitudes. (shrink)

The claim that even in 1543 the Copernican theory was objectively superior to the Ptolemaic theory is explained and defended. The question is then raised concerning the relevance of this insight for our understanding of the rationality of the Copernican revolution. It is proposed that (a) the decision to reject the Ptolemaic theory first became clearly rational early in the 17th century as a result of Galileo's observations of the phases of Venus, and (b) the decision to accept the Copernican (...) theory only became clearly rational when Newtonian gravitational theory provided reasonable physical grounds for rejecting the Tychonic theory towards the end of the 17th century. (shrink)

Ever feel concerned that you may not achieve your career goals, or feel worried about where your life is going? Such examples may reflect the experience of status anxiety, that is, concerns that one may be stuck or not able to move up in life, or worries that one may be too low in standing compared to society’s standards. Status anxiety is believed to be exacerbated by economic inequality and negatively affect well-being. While job satisfaction is an important determinant of (...) well-being, no research has examined whether status anxiety can also help explain people’s satisfaction with their jobs. We tested whether status anxiety differs from other organizational constructs and uniquely relates to job satisfaction among full-time working adults. In a pilot study we found that status anxiety is separate from the concept of job insecurity (e.g.,, perceived threat of job loss). Results of our main study also indicated that higher status anxiety significantly predicted lower job satisfaction beyond several other indicators of organizational attitudes (job insecurity, occupational self-efficacy, distributive, procedural, and interactional justice), as well as the tendency to seek status and several background factors (e.g., income, education, perceived socioeconomic status). We discuss the unique role of status anxiety in job satisfaction and the implications of this research to our understanding of status concerns as well as organizational attitudes and policies. (shrink)

Purpose: Constructivism postulates that the perceived reality is a complex construct formed during development. Depending on the particular school, these inner constructs take on different forms and structures and affect cognition in different ways. The purpose of this article is to address the questions of how and, even more importantly, why we form such inner constructs. Approach: This article proposes that brain development is controlled by an inherent anticipatory drive, which biases learning towards the formation of forward predictive structures and (...) inverse goal-oriented control structures. This drive, in combination with increasingly complex environmental interactions during cognitive development, enforces the structuring of our conscious self, which is embedded in a constructed inner reality. Essentially, the following questions are addressed: Which basic mechanisms lead us to the construction of inner realities? How are these emergent inner realities structured? How is the self represented within the inner realities? And consequently, which cognitive structures constitute the media for conscious thought and selfconsciousness? Findings: Due to the anticipatory drive, representations in the brain shape themselves predominantly purposefully or intentionally. Taking a developmental, evolutionary perspective, we show how the brain is forced to develop progressively complex and abstract representations of the self embedded in the constructed inner realities. These self representations can evoke different stages of self-consciousness. Implications: The anticipatory drive shapes brain structures and cognition during the development of progressively more complex, competent, and flexible goal-oriented bodyenvironment interactions. Self-consciousness develops because increasingly abstract, individualizing self representations are necessary to realize these progressively more challenging environmental interactions. (shrink)

This study compares the relationship between the moral reasoning modes and leadership orientation of males versus females, and managers versus engineers/scientists. A questionnaire developed by Worthley (1987) was used to measure the degree of each participant's respective independence and justice, and relationships and caring moral reasoning modes. Leadership orientation values and attitudes were measured using the Fiedler and Chemers (1984) Least Preferred Coworker Scale.The results suggest that, although males differ from female in their dominant moral reasoning modes, managers are not (...) distinguishable from the engineers/scientists they manage in terms of their moral reasoning mode or Least Preferred Coworker score. (shrink)

GraphicalThirty healthy participants received 60 trials of intermittent SO tACS at an intensity of 2 mA. Motor cortical excitability was assessed using TMS-induced MEPs acquired across different oscillatory phases during and outlasting tACS, as well as at the start and end of the stimulation session. Mean MEP amplitude increased by ∼41% from pre- to post-tACS ; however, MEP amplitudes were not modulated with respect to the tACS phase.Converging evidence suggests that transcranial alternating current stimulation may entrain endogenous neural oscillations to (...) match the frequency and phase of the exogenously applied current and this entrainment may outlast the stimulation. However, observing entrainment in the electroencephalograph during stimulation is extremely difficult due to the presence of complex tACS artifacts. The present study assessed entrainment to slow oscillatory tACS by measuring motor cortical excitability across different oscillatory phases during and outlasting stimulation. 30 healthy participants received 60 trials of intermittent SO tACS at an intensity of 2 mA peak-to-peak. Motor cortical excitability was assessed using transcranial magnetic stimulation of the hand region of the primary motor cortex to induce motor evoked potentials in the contralateral thumb. MEPs were acquired at four time-points within each trial – early online, late online, early offline, and late offline – as well as at the start and end of the overall stimulation period. A significant increase in MEP amplitude was observed from pre- to post-tACS and from the first to the last tACS block. However, no phase-dependent modulation of excitability was observed. Therefore, although SO tACS had a facilitatory effect on motor cortical excitability that outlasted stimulation, there was no evidence supporting entrainment of endogenous oscillations as the underlying mechanism. (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: The schema system presented in the target article suffers from problems that had been acknowledged more than ten years ago. The main point is that our world is neither deterministic nor symbolic. Sensory as well as motor noise is ubiquitous in our environment. Symbols do not exist a priori but need to be grounded within our continuous (...) world. In conclusion, I suggest that research on schema-learning systems should tackle small but real-world, continuous, and noisy problem domains. (shrink)

Open peer commentary on the target article “Who Conceives of Society?” by Ernst von Glasersfeld. First paragraph: Cognitive psychology, neurobiology, and cognitive systems research provide diverse clues as to how we are able to incrementally construct representations of the perceived environment and how we consequently understand other individuals and society. The construction of an individual’s reality starts with the capability to control one’s own body and to be able to predict the usual sensory effects caused by body movements. To be (...) able to infer the potential intentions of others, mirror neurons project one’s own behavioral codes onto perceived patterns that are caused by others. Equipped with representations of many other individuals, personal social realities are constructed. In this commentary, I focus on these points for the construction of social reality and the consequent existence of society as a whole. (shrink)

Open peer commentary on the article “Exploration of the Functional Properties of Interaction: Computer Models and Pointers for Theory” by Etienne B. Roesch, Matthew Spencer, Slawomir J. Nasuto, Thomas Tanay & J. Mark Bishop. Upshot: Although the authors investigate a form of distributed swarm intelligence and solve some problems with it – including sorting and summing – the major goal, which is constructing cognition, cannot be achieved by this approach alone. I propose that anticipatory mechanisms have the potential to construct (...) cognition and may very well be combined with swarm intelligence principles. (shrink)

While outcomes for children with T-cell acute lymphoblastic leukemia have improved dramatically, survival rates for patients with relapsed/refractory disease remain dismal. Prior studies indicate that glucocorticoid resistance is more common than resistance to other chemotherapies at relapse. In addition, failure to clear peripheral blasts during a prednisone prophase correlates with an elevated risk of relapse in newly diagnosed patients. Here we show that intrinsic GC resistance is present at diagnosis in early thymic precursor T-ALLs as well as in a subset (...) of non-ETP T-ALLs. GC-resistant non-ETP T-ALLs are characterized by strong induction of JAK/STAT signaling in response to interleukin-7 stimulation. Removing IL7 or inhibiting JAK/STAT signaling sensitizes these T-ALLs, and a subset of ETP T-ALLs, to GCs. The combination of the GC dexamethasone and the JAK1/2 inhibitor ruxolitinib altered the balance between pro- and anti-apoptotic factors in samples with IL7-dependent GC resistance, but not in samples with IL7-independent GC resistance. Together, these data suggest that the addition of ruxolitinib or other inhibitors of IL7 receptor/JAK/STAT signaling may enhance the efficacy of GCs in a biologically defined subset of T-ALL.Leukemia advance online publication, 30 May 2017; doi:10.1038/leu.2017.136. (shrink)

This essay aims to reconstruct and defend Pascal’s account of divine hiddenness. In the first section I explain Pascal’s view that divine hiddenness is primarily a function of human volitional aversion and only secondarily a result of God’s intentional action. In the following section I evaluate the primary sense of hiddenness by considering Pascal’s response to the objection that divine goodness requires and divine power makes possible God’s provision of evidence sufficient to overcome human volitional indisposition. While Pascal does think (...) it possible for God to provide such evidence, he argues that this would unjustly harm human freedom and endanger human intellectual understanding. I conclude by addressing a weaker form of the objection through consideration of the second sense of divine hiddenness and Pascal’s surprising view that God’s intentional “hiding” is in fact a progressively deeper entry into the particulars of human history. (shrink)

We propose that moral behaviour of artificial agents could be intrinsically grounded in their own sensory-motor experiences. Such an ability depends critically on seven types of competencies. First, intrinsic morality should be grounded in the internal values of the robot arising from its physiology and embodiment. Second, the moral principles of robots should develop through their interactions with the environment and with other agents. Third, we claim that the dynamics of moral emotions closely follows that of other non-social emotions used (...) in valuation and decision making. Fourth, we explain how moral emotions can be learned from the observation of others. Fifth, we argue that to assess social interaction, a robot should be able to learn about and understand responsibility and causation. Sixth, we explain how mechanisms that can learn the consequences of actions are necessary for a robot to make moral decisions. Seventh, we describe how the moral evaluation mechanisms outlined can be extended to situations where a robot should understand the goals of others. Finally, we argue that these competencies lay the foundation for robots that can feel guilt, shame and pride, that have compassion and that know how to assign responsibility and blame. (shrink)