Action representation across ages and cultures: Recognition of action means–end change in German and Chinese children and adults

Actions can be represented as a hierarchy of goals and means, whereas the granularity of the top level depends on the action's complexity. So far, most evidence comes from imitation studies. We explored this issue by evaluating the detection of means and end changes in a recognition paradigm across ages and cultures. German and Chinese preschoolers (n = 53) and adults (n = 58) studied videos of tool-use actions differing in complexity and familiarity. In the test phase, participants judged identical, means-changed and end-changed actions as same or different. Changes of the actions' end were generally identified more accurately independent of age and culture. Means' changes, but not ends' changes, were detected more frequently for complex than for simple actions. Changes in familiar actions were recognised better than changes in unfamiliar actions. The data supports a hierarchical model of action representation where the end information is superordinate to means information.     

Assessing the effect of sound complexity on the audiotactile cross-modal dynamic capture task

Recent studies have provided evidence that dual-task interference is typically caused by a single-channel bottleneck, but the processing locus of the bottleneck has yet to be pinned down. A bottleneck locus at the response-selection stage is widely advocated, but an earlier locus would be consistent with most previous evidence. Four new experiments used the “locus of slack” method to investigate whether the stages postponed by the central bottleneck include stimulus classification, a very late stage of perceptual processing. The experiments varied stimulus classification difficulty for two different analogueue perceptual judgements. Experiment 1 found only modest absorption into slack for the difficulty of a spatial position judgement. Experiments 2–4 found virtually no absorption into slack for the difficulty of a box-width judgement. These results support a bottleneck locus beginning at or before the stage of stimulus classification and hence prior to the stage of response selection. Other evidence, however, leaves no doubt that response selection is also subject to bottleneck postponement. Two architectures are discussed that can account parsimoniously for both old and new results. One posits a single bottleneck resulting from a unified CPU-like central processor; the other posits multiple bottlenecks resulting from multiple processors accomplishing different substages of central processing.     

A computational-level explanation of the speed of goal inference

The ability to understand the goals that drive another person’s actions is an important social and cognitive skill. This is no trivial task, because any given action may in principle be explained by different possible goals (e.g., one may wave ones arm to hail a cab or to swat a mosquito). To select which goal best explains an observed action is a form of abduction. To explain how people perform such abductive inferences, Baker, Tenenbaum, and Saxe (2007) proposed a computational-level theory that formalizes goal inference as Bayesian inverse planning (BIP). It is known that general Bayesian inference–be it exact or approximate–is computationally intractable (NP-hard). As the time required for computationally intractable computations grows excessively fast when scaled from toy domains to the real world, it seems that such models cannot explain how humans can perform Bayesian inferences quickly in real world situations. In this paper we investigate how the BIP model can nevertheless explain how people are able to make goal inferences quickly. The approach that we propose builds on taking situational constraints explicitly into account in the computational-level model. We present a methodology for identifying situational constraints that render the model tractable. We discuss the implications of our findings and reflect on how the methodology can be applied to alternative models of goal inference and Bayesian models in general.     

The Effect of Interpolated Motor Activities in Short-Term Motor Memory

This experiment examined the effect of an interpolated motor response on short-term retention of a blind positioning movement. The interpolated response was varied in degree of similarity to the response length (± 25, ± 50, and ± 100 mm.), in number of repetitions (0, 1, or 5), and in temporal position (immediate or delayed), with a retention interval of 25 sec. Absolute error was not affected but a systematic change in response bias due to interpolated motor activity was found. When an interpolated response was longer than the response length, the tendency to undershoot decreased. The defay of the interpolated response was relatively more important than the number of repetitions in producing a positive shift in response bias. These results are interpreted as evidence for a form of interference in short-term motor memory.     

Biological and Cultural Evolution in a Common Universal Trend of Increasing Complexity

In the present article, a depiction of complexity versus time will be used for the construction of a novel form of a tree of life, called The Pattern of Life, comprising the biological, cultural, and scientific forms of the evolutionary process. This diagram accentuates the implication of the successive modifications of developmental programs, in the cultural and scientific realms coupled to a feedback mechanism that is decisive for the accelerating pace of complexity growth, also suggested to be of support of a cautious prediction of future evolution.     

Automated Integrative Complexity

Integrative complexity is a conceptually unique and very popular measurement of the complexity of human thought. We believe, however, that it is currently being underutilized because it takes quite a bit of time to score. More time‐efficient computer‐based measurements of complexity that are currently available are correlated with integrative complexity at fairly low levels. To help fill in this gap, we developed a novel automated integrative complexity system designed specifically from the integrative complexity theoretical framework. This new automated IC system achieved an alpha of .72 on the standard integrative complexity coding test. In addition, across nine datasets covering over 1,300 paragraphs, this new automated system consistently showed modest relationships with human‐scored integrative complexity (average alpha = .62; average r = .46). Further analyses revealed that this relationship consistently remained significant when controlling for superficial markers of complexity and that the new system accounted for both the differentiation and integration components of integrative complexity. Although the overlap between the automated and human‐scored systems is only modest (and thus suggests the continued usefulness of human scoring), it nonetheless provides the best automated integrative complexity measurement to date.     

Testing a Theory of Implementation Leadership and Climate Across Autism Evidence-Based Interventions of Varying Complexity

Prominent theories within the field of implementation science contend that organizational leaders can improve providers’ fidelity to evidence-based practices (EBPs) by using focused implementation leadership behaviors that create an organizational climate for EBP implementation. However, this work has been criticized for overreliance on nonspecific, self-report fidelity measures and poor articulation of the boundary conditions that may attenuate leadership and climate’s influence. This study tests the predictions of EBP implementation leadership and climate theory on observed fidelity to three school-based EBPs for autism that vary in complexity: pivotal response training (PRT), discrete trial training (DTT), and visual schedules (VS). Educators in kindergarten to third-grade autism support classrooms in 65 schools assessed their principals’ EBP implementation leadership and school EBP implementation climate prior to the school year. Mid-school year, trained observers rated educator fidelity to all three interventions. Expert raters confirmed PRT was significantly more complex than DTT or VS using the Intervention Complexity Assessment Tool for Systematic Reviews. Linear regression analyses at the school level indicated principals’ increased frequency of EBP implementation leadership predicted a higher school EBP implementation climate, which in turn predicted higher educator fidelity to PRT—however, there was no evidence of a relationship between implementation climate and fidelity to DTT or VS. Comparing principals whose EBP implementation leadership was ±1 SD from the mean, there was a significant indirect association of EBP implementation leadership with PRT fidelity through EBP implementation climate (d = 0.49, 95% CI [0.04, 0.93]). Strategies that target EBP implementation leadership and climate may support fidelity to complex behavioral interventions.     

近似确定中的不确定性——浅议医学中的不确定性问题

医学中的不确定性问题,是一个有关医学知识论和价值论的根本问题,也是医学复杂性的特质之一,这是一个基本判断。一方面,因医学研究对象及“患者—疾病—医生”之间的互动关系所呈现出的复杂性,导致不确定性广布于医学中的各个领域;另一方面,从不确定性问题入手,可以更好地揭示医学的复杂性本质。要理解与讨论医学的复杂性问题,势必需要对医学的不确定性问题引起足够的重视。由此,通过对科学、医学试验、临床医学等方面的不确定性问题的分析,探讨医学不确定性产生的根源及表现形式,进而思考相应的应对之道也就尤为必要。