Preface: Trends in Natural and Machine Intelligence

Preface to Part II Computational Intelligence and Machine Learning

In computation intelligence and machine learning researchers often look to other fields of study, such as anthropology, biology, computer science, psychology, philosophy and neuroscience to shape the algorithms being developed. Intelligence, which is generally attributed to humans, animals and plants, can be characterized by abstract thought, understanding, communication, reasoning, learning, p...

New Trends in Computing Anticipatory Systems : Emergence of Artificial Conscious Intelligence with Machine Learning Natural Language

This paper deals with the challenge to create an Artificial Intelligence System with an Artificial Consciousness. For that, an introduction to computing anticipatory systems is presented, with the definitions of strong and weak anticipation. The quasi-anticipatory systems of Robert Rosen are linked to open-loop controllers. Then, some properties of the natural brain are presented in relation to...

Preface Section 1: Computational Intelligence

Software Science is a discipline that studies the theoretical framework of software as instructive and behavioral information, which can be embodied and executed by generic computers in order to create expected system behaviors and machine intelligence. Intelligence Science is a discipline that studies the mechanisms and theories of abstract intelligence and its paradigms such as natural, artif...

Artificial Intelligence and Learning Environments - Preface

The promise of computer-aided instruction (CAI) has always been individualized instruction: providing a learner with an environment that is tailored to his or her learning needs and goals. Although there have been notable successes (e.g., see Larkin et al. [9]), the architecture of CAI systems has been inadequate to provide robust and rich learning environments. Starting in the early 1970s, res...

Transactions on Computational Collective Intelligence XXIII Preface