Reference no: EM132161908

Increasing the levels of automation in systems presents several challenges, including that of the degree of coupling between the human agent and the machine or software agents. As system complexity escalates, the design tends toward designating either the human or the machine to direct the decision processes. In this sense, human-automation coordination designs are limited by the mindset that technology and people are independent components. Functional interface concepts for joint cognitive systems have been likened to performance characteristics of a team of individuals. Rather than one individual directing, the individual interactions form the team’s performance. This goes to the heart of the matter in understanding a cognitive system. Since a cognitive system is defined by its ability to modify patterns of behavior on the basis of past experience, how might the issue of humans versus machine agents be reconciled so they are jointly creating the system’s cognition? Describe an approach you might take in designing a cognitive system that would incorporate adaptable learning as a result of human and machine agent coupling. Address one or more design principles for interface agent modeling that apply to such a mixed initiative and explain strengths and limitations involved. Prepare a conceptual design paper,