This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Together with the disruptive development of modern sub-symbolic approaches to artificial
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …

Long short-term memory (LSTM) neural networks and attention mechanism have been
widely used in sentiment representation learning and detection of texts. However, most of …

Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …

In the recent era, artificial intelligence (AI) is being used to support numerous solutions for
human beings, such as healthcare, autonomous transportation, and so on. Cognitive …

In the present study, the effects of procedural justice (fair or unfair) and the type of decision
agent (human, robot, or computer) on employee behavior and attitudes (eg, job satisfaction …

The concept of affordances appeared in psychology during the late 60s as an alternative
perspective on the visual perception of the environment. It was revolutionary in the intuition …

This article provides the first survey of computational models of emotion in reinforcement
learning (RL) agents. The survey focuses on agent/robot emotions, and mostly ignores …

Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …

The experience of inner speech is a common one. Such a dialogue accompanies the
introspection of mental life and fulfills essential roles in human behavior, such as self …