Автор: Mark Chang
Издательство: CRC Press
Год: 2023
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 19.3 MB
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.
Humanized AI looks, thinks, and behaves like humans, a life companion, not a digital slave. This chapter will discuss the fundamental aspects regarding human nature and surrounding controversies. Without necessary clarifications on these aspects, building HAI can become a baseless claim. The discussions of issues in this chapter will serve as the basis for HAI Architecture in Part III, while the architectures serve as the blueprint for the prototyping of HAI in Part IV. We will first delineate prospective HAI and the human-machine world in Chapter 1, followed by the discussion of the multifacetedness of the objective world. Chapter 3 discusses the fundamental principles that a human (thus an HAI agent, also) uses to formulate his perceptual world. Chapter 4 concerns critical aspects in learning, which will inform the construction of the architectures.
We avoid long discussions on each of the critical topics. Instead, the concise presentation will be just enough to support the later architecture-building. Readers should have critical eyes since there are many personal views that might significantly deviate from mainstream views. Given the broad coverage of topics, readers may initially run through some of the topics but are definitely encouraged to review relevant parts when reading Part III, Architectures of HAI.
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.
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