This book provides a comprehensive, up-to-date, and rigorously detailed introduction to Non-Axiomatic Logic (NAL), a groundbreaking framework for adaptive systems operating under conditions of insufficient knowledge and resources. Designed according to the principles of human cognition, NAL serves as a cornerstone for advancing general-purpose Artificial Intelligence while addressing many topics in logic, psychology, linguistics, philosophy, and computer science.Now fully expanded ...

This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks?Focusing on the modeling and analysis of bio-molecular networks, the book presents various...

A trenchant defense of hierarchy in different spheres of our lives, from the personal to the politicalAll complex and large-scale societies are organized along certain hierarchies, but the concept of hierarchy has become almost taboo in the modern world. Just Hierarchy contends that this stigma is a mistake. In fact, as Daniel Bell and Wang Pei show, it is neither possible nor advisable to do away with social hierarchies. Drawing their arguments from Chine...

This book focuses on the control of fractal behaviors in nonlinear dynamics systems, addressing both the principles and purposes of control. For fractals in different systems, it presents revealing studies on the theory and applications of control, reflecting a spectrum of different control methods used with engineering technology. As such, it will benefit researchers, engineers, and graduate students in fields of fractals, chaos, engineering, etc.

This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an...

This book characterizes the major pollution patterns of emerging contaminants, such as sources, emission effluents, temporal and spatial distributions, multi-media transportation and transformation processes, exposure pathways to ecosystems and humans, and ecological risks. Based on this, it establishes an urbanizing region management concept and highlights how urbanization and its regional ecology have evolved into a more integrated vision. It also decouples the relations between urbaniza...

This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016.The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholene...

This revised and considerably expanded 2nd edition, published in 2008, brings together a wide range of topics, including modal, tense, conditional, intuitionist, many-valued, paraconsistent, relevant, and fuzzy logics. Part 1, on propositional logic, is the old Introduction, but contains much new material. Part 2 is entirely new, and covers quantification and identity for all the logics in Part 1. The material is unified by the underlying theme of world semantics. All of the topics are exp...

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics ...

Analyzing Sound Patterns is a clear and concise introduction to phonological phenomena, covering a wide range of issues from segmental to suprasegmental problems and prosodic morphology. Assuming no prior knowledge of problem solving, this textbook shows students how to analyze phonological problems with a focus on practical tools, methodology and step-by-step instructions. It is aimed at undergraduate and beginning graduate students and places an instructional focus on developing students...

Understanding Minimalism, first published in 2005, is an introduction to the Minimalist Program - the model of syntactic theory within generative linguistics. Accessibly written, it presents the basic principles and techniques of the minimalist program, looking firstly at analyses within Government and Binding Theory (the Minimalist Program's predecessor), and gradually introducing minimalist alternatives. Minimalist models of grammar are presented in a step-by-step fashion, and the ways i...

The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...