Pei Wang – författare

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 wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense.

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 betweenthe 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.

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 urbanization and emissions of emerging pollutants that are framed within a broad socio-ecological context considering institutions, policies, and governance. All the theory, methods, and case studies have been taken from the authors’ publications, which have undergone rigorous international peer review. The book presents the spatial distribution, pathways, and flow diagrams of the pollutants as well as the interactions between urbanization and regional pollution and includes detailed figures and pictures. It also investigates ecological risk characterization and expression using maps based on geographic information systems to illustrate the general profile and the spatial variation of risks.

The book is a valuable resource for postgraduates, researchers, academics, environmental NGOs, and regional managers such as urban planners, environmental agency staff, legal regulators, and decision makers. Bridging the gap between environmental science and policy, it offers interdisciplinary theory, approaches, and case studies that facilitate applications of frontier science in ecology and environmental science to regional social and economic development.