In this textbook the author takes as inspiration recent breakthroughs in game playing to
explain how and why deep reinforcement learning works. In particular he shows why two …

Sampling is a well-known workload reduction technique that allows one to speed up
architectural simulation while accurately predicting performance. Previous sampling …

The analysis of the central and the autonomic nervous systems (CNS, ANS) activities during
general anesthesia (GA) provides fundamental information for the study of neural processes …

Any class of learners, regardless of the stage of education, type of school and its location (in
a metropolitan or rural area), comprises an amazing variety of individuals who are distinct in …

In this manuscript, we propose that plants are eco-plastic and electromic interfaces that can
drive emergent intelligent behaviours from synchronized electrical networks. Behind the …

In this chapter, I cover computational modeling of emotion in socially interactive agents
(SIAs). I focus on the computational representation of emotion and other affective concepts …

The moment immediately before the “add to cart” decision is very critical in online shopping.
Drawing on theories of transfer, spreading activation and human-computer interaction, the …

This paper proposes a way of conceptualizing the role of representation in emotion
causation from the perspective of Vygotskian cultural psychology. It is argued that emotion is …

Interoception, the representation of the body's internal state, serves as a foundation for
emotion, motivation, and wellbeing. Yet despite its centrality in human experience, the …

One of the most challenging goals in social robotics is implementing emotional skills.
Making robots capable of expressing and deciphering emotions is considered crucial for …