This paper provides a new concept for the improvement of human–robot interaction (HRI)
models:'emotional affordances'. Emotional affordances are all the mechanisms that have …

Emotional affordances represent a recently introduced concept which model all the
mechanisms used to collect/transmit emotional meaning in the context of human machine …

How can we teach machine learning to identify causal patterns in data? This book explores
the very notion of" causality", identifying from a naturalistic and evolutionary perspective how …

Robots and humans coexist in various social environments. In these contexts, robots
predominantly serve as assistants, necessitating communication and understanding …

This comprehensive chapter explores the intricate realm of human causal thinking,
highlighting its pivotal role in decision-making, problem-solving, and scientific inquiry. The …

In the relentless pursuit of advancing artificial intelligence (AI) to emulate human cognition, a
crucial frontier lies in achieving a genuine comprehension of causality. This chapter …

In this paper we present a new computational bio-inspired approach. We use the three-
dimensional model of emotions created by the Hugo Lövheim “cube of emotions” and …

This paper proposes structures of Takagi-Sugeno fuzzy (TSF) controllers along with
approaches to design these structures dedicated to the azimuth and pitch position control of …

Международная Сибирская конференция IEEE по управлению и связи SIBCON
традиционно организуется Томской группой Института инженеров по электротехнике и …

The purpose of this chapter is to delineate a naturalistic approach to consciousness. This
bioinspired method does not try to emulate into a 1: 1 scale real mechanisms but instead of …