Home // ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Farshad Badie
Keywords: HCI; Concept; Concept Transformation; Predicate; Hypothesis; Predicate Logic; Machine Learning
Abstract:
Providing more human-like concept learning in machines has always been one of the most significant goals of machine learning paradigms and of human-machine interaction techniques. This article attempts to provide a logical specification of conceptual mappings from humans’ minds into machines’ knowledge bases. We will focus on the representation of the mappings (transformations) relying on First-Order Predicate Logic. Additionally, the structure of concepts in the common ground between humans and machines will be analysed. It seems quite necessary to pay attention to the philosophy of constructivism and constructivist models of knowing. This research constructs a conceptual ground for expressing and analysing concepts in the common ground between humanistic and informatics sciences and in the context of human-machine interplays.
Pages: 376 to 379
Copyright: Copyright (c) IARIA, 2016
Publication date: April 24, 2016
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-468-8
Location: Venice, Italy
Dates: from April 24, 2016 to April 28, 2016