His Dynamic Psychology (1918) attempted to explain behaviour by combining theories of motivation, perception, learning, and thinking, while his Psychology (1921) became a standard textbook.
Instead of starting with conventional psychometric tests, they began with tasks that experimental psychologists were using in their laboratories to study the basic phenomena of cognition, such as perception, learning, and memory.
Cognitive neuroscientists study how the brain implements particular cognitive processes such as perception, learning, and decision-making.
The WF-MAC formulates an intelligent channel selection mechanism for each SU using two-dimensional learning approaches channel availability prediction and utility-based perception learning.
The Institute generally describes its goal being "to understand the principles of perception, learning and action in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems".
Such "active" phenomena hold the key to understanding how, for instance, a micron-sized bacterial cell is able to incorporate perception, learning, and action in the absence of a neuronal system.
Traditional research paradigms in animal cognition are similar to those in human cognition, and include an examination of perception, learning, categorization, memory, spatial cognition, numerosity, communication, language, social cognition, theory of mind, causal reasoning, and metacognition.
The philosophical issues surrounding the interpretation of experiments to investigate perception, learning, categorization, memory, spatial cognition, numerosity, communication, language, social cognition, theory of mind, causal reasoning, and metacognition in animals are discussed in the entry on animal cognition.
Covering for four sabbaticals (including Floody's) over 2 years, she strengthened and broadened her repertoire, teaching courses and labs in sensation and perception, learning theory, cognition, and physiological psychology, all while developing an advanced seminar on forgetting.
We have described a variational framework for solving the Inverse Bayesian Decision Theory (IBDT) problem in the context of perception, learning and decision-making.
