Cognitive complexity

Frye D, Zelazo PD, Burack JA 1998 Cognitive complexity and control I. Theory of mind in typical and atypical development. Curr Dir Psychol Sci 7 116—121 Johnson MH 1993 Brain development and cognition. Blackwell, Oxford... 

Table 1 lists a number of proposed dimensions of social complexity in primates. Our approach to complexity has been that at the most abstract level, one system is more complex than another if it contains more elements and, even more importantly, more combinations or links between the elements. This conception underlies our approach to both social complexity and cognitive complexity. The social complexity we want to define is that which is predicted to require a more intelligent brain to engage with it, if biological fitness is to be maintained or enhanced (Sambrook Whiten 1997). One society might thus count as more complex than another if to succeed in it, a member had, for example, to process... 

Niaz, M. (1996). How students circumvent problem-solving strategies that require greater cognitive complexity. Journal of College Science Teaching, 15, 361-63. 

Hollingsworth RJ (2006) High cognitive complexity and the making of major scientific discoveries. In Amuad Sales and Marcel Fournier, eds. Knowledge, Communication and... 

Strict task requirements can complicate or make infeasible appropriate task allocation Highly repetitive tasks are generally appropriate for automation deahng with the unexpected or cognitively complex tasks are generally appropriate for humans Users mental models may uncover expected allocation schemes... 

Triandis, Ft. (1975). Culture training, cognitive complexity and interpersonal attitudes. In R. Brislin, S. Bochner, W. Conner (Eds.), Cross-cultural perspectives on learning. Thousand Oaks, CA Sage. 

Finally, STAMP points the way to very different approaches to risk assessment. Currently, risk assessment is firmly rooted in the probabilistic analysis of failure events. Attempts to extend current PRA techniques to software and other new technology, to management, and to cognitively complex human control activities have been disappointing. This way forward may lead to a dead end. Significant progress in risk assessment for complex systems will require innovative approaches starting from a completely different theoretical foundation. 

ElMaraghy and Urbanic (2004) developed metrics and applications for product, process, and operational complexity. In these metrics, an important factor is considered the human operators and their perception of the tasks complexity (cognitive complexity). The complexity of manufacturing systems, products, processes, and operations is related to the information to be processed in the system, including the physical... 

The level of cognitive complexity will be increasing as technologies provide real time information and connections. 

A change in a system state is normally reflected in a series of indicators, and it is the nature of these indicators and the required response of the operator that determines the level of cognitive complexity of the task (Woods, 1988). For instance, the indicators may be dynamic such that events will occur at times that are indeterminate. This inability to predict the nature of changes requires a level of... 

Table 14.3 Mean cognitive complexity scores as function of stage of flight...

To validate the relationship between the cognitive complexity of a task and the cognitive skill required to sueeessfully perform that task, a further study will examine the pattern of eue acquisition for tasks fliat are structured to embody a high or low level of cognitive complexity. Cues represent features of an environment that have some meaning or association for flie receiver and may be visual, auditory, olfactory, or tactile in form (Ratcliff and McKoon, 1995). Previous research has identified that an operator s pattern of cue acquisition will vary as a function of the demands of the task (e.g., Bellenkes, Wickens and Kramer, 1997 Wiggins et al., 2002 Underwood, 2005). 

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