ABSTRACT

Humanized AI (HAI), emerging as the next of the AI waves, refers to artificial social beings that are very close to humans in various aspects, beings who are machine-race humans, not digital slaves. Foundation, Architecture, and Prototyping of HAI deploy a novel smalldata approach to vertically explore the spectrum of HAI.

Different from the popular big-data philosophy that is based on the rigid notion that the connotation of each concept is fixed and the same to everyone, this book treats understanding as a process from simple to complex, and uses the similarity principle to effectively deal with novelties. Combining the efficiency of the Behaviorists’ goal-driven approach and the flexibility of a Constructivists’ approach, both the architecture of HAI and the philosophical discussions arising from it are elaborated upon.

Advancing a unique approach to the concept of HAI, this book appeals to professors and students of both AI and philosophy, as well as industry professionals looking to stay at the forefront of developments within the field.

part I|58 pages

Philosophy of Humanized AI in Plain Language

part II|30 pages

Humanized AI and Its Approaches

chapter 6|6 pages

Waves of AI Development

chapter 7|8 pages

Existing Approaches to Humanized AI

chapter 8|8 pages

New Approach to Humanized AI

part III|134 pages

Architecture of Humanized AI

chapter 909|10 pages

Three Worlds and Virtual Reality

chapter 10|18 pages

First Designer Stance

chapter 11|10 pages

Dynamic Knowledge Representation

chapter 12|6 pages

Attention Mechanism and Attentive World

chapter 13|34 pages

Learning Mechanism and Knowledge Discovery

chapter 14|36 pages

Adaptive Response Mechanism

chapter 15|18 pages

Effective Teaching

part IV|70 pages

Prototyping Agents—Zda and Lia

chapter 22416|6 pages

Functional and Logic Specifications

chapter 17|22 pages

Modularization of Humanized AI Architecture

chapter 18|36 pages

Implementations of Innate Mechanisms

chapter 19|4 pages

Miscellaneous