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The history of testing mental abilities has seen the dominance of two contrasting approaches, psychometrics and neuropsychology. These two traditions have different theories and methodologies, but overlap considerably in the tests they use. Historically, psychometrics has emphasized the primacy of a general factor, while neuropsychology has emphasized specific abilities that are dissociable. This issue about the nature of human mental abilities is important for many practical concerns. Questions such as gender, ethnic, and age-related differences in mental abilities are relatively easy to address if they are due to a single dominant trait. Presumably such a trait can be measured with any collection of complex cognitive tests. If there are many specific mental abilities, these would be much harder to measure and associated social issues would be more difficult to resolve. The relative importance of general and specific abilities also has implications for educational practices. This book includes the diverse opinions of experts from several fields including psychometrics, neuropsychology, speech language and hearing, and applied psychology.
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This book focuses on the successes and difficulties of nonlinear studies, particularly in the areas of Mind Sciences. It atttempts to answer the following questions: is an interdisciplinary contamination of complexity studies in different disciplines useful? Does this contamination originate in a transdisciplinary toolbox of methods and models which is worth calling it ?Nonlinear Science?? What are the relations between the metaphoric approach and the mathematical approach in natural sciences and humanities? Complexity in the Life Sciences represents a fundamental workbench for these kinds of problems. The fascinating challenge in these areas is represented by studies on mind functioning.
This volume focuses on the modeling of cognition, and brings together contributions from psychologists and researchers in the field of cognitive science. The shared platform of this work is to advocate a dynamical systems approach to cognition. Several aspects of this approach are considered here: chaos theory, artificial intelligence and Alife models, catastrophe theory and, most importantly, self-organization theory or synergetics. The application of nonlinear systems theory to cognitive science in general, and to cognitive psychology in particular, is a growing field that has gained further momentum thanks to new contributions from the science of robotics. The recent development in cognitive science towards an account of embodiment, together with the general approach of complexity theory and dynamics, will have a major impact on our psychological understanding of reasoning, thinking and behavior.
In recent years, scientists have applied the principles of complex systems science to increasingly diverse fields. The results have been nothing short of remarkable. The Third International Conference on Complex Systems attracted over 400 researchers from around the world. The conference aimed to encourage cross-fertilization between the many disciplines represented and to deepen our understanding of the properties common to all complex systems.