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Trust: Anthropomorphic Algorithmic

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Book cover Distributed Computing and Internet Technology (ICDCIT 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11969))

Abstract

Computer Science often emulates humanlike behaviours including intelligence that has taken to storms in every other domain where human deals with. A computing system with a defined role and goal is called an agent with humanlike capability for decision making in dynamic and complex real world it is situated in. Largely this aspect of a computing unit needs ability to learn, act and forecast. Broadly the study in Artificial Intelligence (AI) also deals with such aspects. Researchers of both the schools of computing viz. Intelligent Agents and AI systems, propose several algorithms to emulate human like behaviours. These algorithms here, are labelled as anthropomorphic algorithms. In particular, here our discussion is focussed on trust. The idea of trust as conceptualised, computed and applied in different domains, is discussed. Further, it points out the dimensions that need to be looked at, in order to endow computing systems with trust as a humanitics.

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Author information

Authors and Affiliations

  1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India

    Hrushikesha Mohanty

  2. KIIT Deemed University, Bhubaneswar, India

    Hrushikesha Mohanty

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  1. Hrushikesha Mohanty
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Correspondence to Hrushikesha Mohanty .

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Editors and Affiliations

  1. Vietnam National University, Hanoi, Vietnam

    Dang Van Hung

  2. International Institute of Information Technology, Bangalore, India

    Meenakshi D´Souza

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Mohanty, H. (2020). Trust: Anthropomorphic Algorithmic. In: Hung, D., D´Souza, M. (eds) Distributed Computing and Internet Technology. ICDCIT 2020. Lecture Notes in Computer Science(), vol 11969. Springer, Cham. https://doi.org/10.1007/978-3-030-36987-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-36987-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36986-6

  • Online ISBN: 978-3-030-36987-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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