One of the objectives in the field of artificial intelligence for some decades has been the
development of artificial agents capable of coexisting in harmony with people and other …

Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Abstract Background/Introduction The interval neutrosophic uncertain linguistic variables
(INULVs) can be better at handling the uncertainty of the decision-makers' cognition in multi …

The paper presents and discusses a system (xDriver) which uses an Intelligent System of
Decision-making (ISD) for the task of car driving. The principal subject is the implementation …

In this paper, several new correlation coefficients of hesitant fuzzy sets are defined, not
taking into account the length of hesitant fuzzy elements and the arrangement of their …

Profit-oriented service sectors such as tourism, hospitality, and entertainment are
increasingly looking at how professional service robots can be integrated into the workplace …

Providing solutions to current issues associated with an aging population has become a
major challenge for the scientific community. In late adulthood, social isolation issues are the …

Understanding emotions of others requires a theory of mind approach providing knowledge
of internal appraisal and regulation processes of emotions. Multi-modal social signal …

To cope with the hesitancy and uncertainty of the decision makers' cognitions to decision-
making problems, this paper introduces a new type of fuzzy sets called linguistic interval …