Knowing our World: An Artificial Intelligence Perspective

Knowing our World: An Artificial Intelligence Perspective explores how humans understand and operate in their world through science, computation, and artificial intelligence. It proposes a foundation for the science of epistemology and demonstrates how AI technology offers representational structures and reasoning strategies that support clarification of these foundations. The book is organized in three Parts, introducing the foundations of computing and the philosophical background, exploring three paradigms of AI research, and bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view.

Format: Paperback / softback
Length: 256 pages
Publication date: 03 July 2022
Publisher: Springer Nature Switzerland AG

Understanding our World: An Artificial Intelligence Perspective delves into the methodologies of science, computation, and artificial intelligence to explore how humans come to understand and operate in the world around them. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger's focus lies in understanding the skills that enable these goals.

Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support the clarification of these epistemic foundations.

This monograph is organized into three Parts. The first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and high-level language tools that support AI application building.

The book's second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use.

The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical approaches to understanding knowledge.

In conclusion, Understanding our World: An Artificial Intelligence Perspective offers a comprehensive exploration of the methodologies and perspectives that shape our understanding of the world. By leveraging the power of AI technology and interdisciplinary approaches, the book provides a foundation for the science of epistemology and offers insights into the paradigms and philosophical traditions that have shaped AI research and development over the past seventy years.

Weight: 424g
Dimension: 155 x 233 x 18 (mm)
ISBN-13: 9783030718756
Edition number: 1st ed. 2021