Pei Wang

the logic of intelligence

Rigid flexibility

Qinong Ye

Changliang Shan

Binghui Li

Bin Yuan

Post-Transcriptional and Post-Translational Regulation of Cancer Metabolism

Shu-Tang Liu

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.

Fractal Control Theory

Himel Mallick

Lingling An

Mengjie Chen

Ni Zhao

Methods for Single-Cell and Microbiome Sequencing Data

Sebastian Rudolph

Kai-Uwe Kühnberger

This book constitutes the refereed proceedings of the 6th International Conference on Artificial General Intelligence, AGI 2013, held in Beijing, China, in July/August 2013. The 23 papers (17 full papers, 3 technical communications, and 3 special session papers) were carefully reviewed and selected from various submissions. The volume collects the current research endeavors devoted to develop formalisms, algorithms, and models, as well as systems that are targeted at general intelligence. Similar to the predecessor AGI conferences, researchers proposed different methodologies and techniques in order to bridge the gap between forms of specialized intelligence and general intelligence.

6th International Conference, AGI 2013, Beijing, China, July 31 -- August 3, 2013, Proceedings

Artificial General Intelligence

Ben Goertzel

This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines

Theoretical Foundations of Artificial General Intelligence

Jinhu Lü

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 sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.

Modeling and Analysis of Bio-molecular Networks

" The topic of this book the creation of software programs displaying broad, deep, human-style general intelligence is a grand and ambitious one. And yet it is far from a frivolous one: what the papers in this publication illustrate is that it is a fit and proper subject for serious science and engineering exploration. No one has yet created a software program with human-style or (even roughly) human-level general intelligence but we now have a sufficiently rich intellectual toolkit that it is possible to think about such a possibility in detail, and make serious attempts at design, analysis and engineering. possibility in detail, and make serious attempts at design, analysis and engineering. This is the situation that led to the organization of the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop; and to the decision to publish a book from contributions by the speakers at the conference. The material presented here only scratches the surface of the AGI-related R&D work that is occurring around the world at this moment. But the editors are pleased to have had the chance to be involved in organizing and presenting at least a small percentage of the contemporary progress. "

Concepts, Architectures and Algorithms : Proceedings of the AGI Workshop 2006

Advances in Artificial General Intelligence

The Exchange Behavior of Zirconium and Hafnium with Amberlite IR-120

This book is the most comprehensive description of the decades-long Non-Axiomatic Reasoning System (NARS) project, including its philosophical foundation, methodological consideration, conceptual design details, implications in the related fields, and its similarities and differences to many related works in cognitive science. While most current works in Artificial Intelligence (AI) focus on individual aspects of intelligence and cognition, NARS is designed and developed to attack the AI problem as a whole.

The Logic of Intelligence

Rigid Flexibility

Pei Wang

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