Abstract
The elements of intelligent human-machine (HM) interaction focus on understanding the basic principles of natural and artificial behavior that would allow multiagent systems to work together symbiotically. In this regard, the author presents some basic taxonomies and modeling principles that should be considered when a cognitive-based (intelligent) HM interaction system is designed. These principles define interaction from various viewpoints as used by researchers in the literature. >
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