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The dorsal-most component (the cerebral cortex) is acutely enlarged in mammals1, and this expansion may have prefigured new forms of communication, reasoning and memory in human ancestors2.
Explores all aspects of cognitive agents, including (but not limited to): perception, action, affective and cognitive learning and memory, attention, decision making and control, social cognition, language processing and communication, reasoning, problem solving, and consciousness.
In the 1980s, Scandinavian, British, and later American researchers adopted the principles of activity theory as an alternative approach to the individualist paradigms that dominated Western research on human communication, reasoning, work and learning [37 39].
There remains controversy as to what construct the MMI is measuring (e.g. communication, reasoning skills, entry level professionalism, non-cognitive skills, etc).
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More recent definitions have recommended additional components such as communication, values, reasoning, and teamwork.
Her educational interests include teaching and curriculum design around patient-centered, cross-cultural communication, clinical reasoning, and performance assessment.
The purpose of this paper is to investigate the feasibility of representing and communication clinical reasoning with GSN.
The approach proposed represents each agent architecture including Agent communication interface, Reasoning, Modeling, domain knowledge set, Execution and human agent interface units.
"Computers cannot 'read.' They cannot measure the essentials of effective written communication: accuracy, reasoning, adequacy of evidence, good sense, ethical stance, convincing argument, meaningful organization, clarity, and veracity, among others".
Ontologies offer significant benefits to multi-agent systems: interoperability, reusability, support for multi-agent system (MAS) development activities (such as system analysis and agent knowledge modeling) and support for MAS operation (such as agent communication and reasoning).
Ontologies have been found to play a significant role in facilitating interoperability, reusability, MAS development activities (including MAS analysis and agent knowledge modeling) and MAS run-time operation (including agent communication and reasoning).
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