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Expert Characteristics: Implications for Expert Systems

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GeNeDis 2020

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1338))

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Abstract

While expert systems are artificial intelligence (AI) agents, they share many common characteristics with human experts. As technology progresses, such systems are not just able to make simple decisions following “simplistic” linear logical protocols; they “behave” as real experts in at least two ways: by demonstrating superb decision-making skills and by conforming to the social norms for expertise, i.e., they “feel” as human experts. A review of the common characteristics of human experts may have important implications for the direction of the development for such systems. Implications for bioinformatics and future research (especially concerning the accompanying concept of “expert generalist”) are also discussed.

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Notes

  1. 1.

    FFA – the area in brain that increases its activity in response to face detection.

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Author information

Authors and Affiliations

  1. Ionian University, Department of Informatics, Kerkira, Greece

    Konstantinos G. Papageorgiou

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  1. Konstantinos G. Papageorgiou
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  1. Department of Informatics, Ionian University, Corfu, Greece

    Panayiotis Vlamos

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Papageorgiou, K.G. (2021). Expert Characteristics: Implications for Expert Systems. In: Vlamos, P. (eds) GeNeDis 2020. Advances in Experimental Medicine and Biology, vol 1338. Springer, Cham. https://doi.org/10.1007/978-3-030-78775-2_18

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