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"Intelligent design"
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Explanation and teleology in Aristotle's science of nature
\"In Aristotle's teleological view of the world, natural things come to be and are present for the sake of some function or end (for example, wings are present in birds for the sake of flying). Whereas much of recent scholarship has focused on uncovering the (meta-)physical underpinnings of Aristotle's teleology and its contrasts with his notions of chance and necessity, this book examines Aristotle's use of the theory of natural teleology in producing explanations of natural phenomena. Close analyses of Aristotle's natural treatises and his Posterior Analytics show what methods are used for the discovery of functions or ends that figure in teleological explanations, how these explanations are structured, and how well they work in making sense of phenomena. The book will be valuable for all who are interested in Aristotle's natural science, his philosophy of science, and his biology\"-- Provided by publisher.
Book
Multi‐Dimensional Multiplexed Metasurface for Multifunctional Near‐Field Modulation by Physics‐Driven Intelligent Design
Metasurface is a revolutionary platform to achieve desired properties by artificially engineering meta‐atom's arrangements. However, the explosively expanding design space of advanced metasurfaces with multiple degrees of freedom (MDOF) has made the traditional human‐guided design methods increasingly ineffective, limiting the development of the metasurfaces. Intelligent design methods have been presented to tackle these challenges by introducing innovative computational models, but they are predominantly data‐driven and faced the issues of data scarcity, poor physical interpretability, and weak generalization capability. Here, a physics‐driven intelligent design (PDID) paradigm is proposed and demonstrates its application to design MDOF multiplexed metasurfaces. The PDID method integrates the physical prior knowledge into a deep neural network, thereby enhancing its physical interpretability and reducing its reliance on extensive databases. Compared to the traditional intelligent designs, this can reduce both design time and database size by two orders of magnitude. Through experimental validation of MDOF multiplexed metasurfaces, the versatility and computational efficiency of PDID are showed. This method not only presents a novel intelligent design tool but also exemplifies the integration of physical knowledge with machine learning to address the challenges. Its interdisciplinary insights offer significant potentials for innovative applications across the materials science, computational science, and information technology. The expansive design space of advanced metasurfaces, particularly those with multiple degrees of freedom (MDOF), renders traditional design methods less effective. A physics‐driven intelligent design is proposed for MDOF metasurfaces, which integrates physical knowledge into neural networks, enhancing interpretability and computational efficiency. This method significantly reduces both design time and database size.
Journal Article
Integrating cognitive architectures into virtual character design
\"This book presents emerging research on virtual character artificial intelligence systems and procedures and the integration of cognitive architectures by emphasizing innovative methodologies for intelligent virtual character integration and design\"-- Provided by publisher.
Book
A brief review on key technologies in the battery management system of electric vehicles
Batteries have been widely applied in many high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system (BMS) is vital in ensuring safe and reliable operation of batteries. This paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging. First, popular battery types used in EVs are surveyed, followed by the introduction of key technologies used in BMS. Various battery models, including the electric model, thermal model and coupled electro-thermal model are reviewed. Then, battery state estimations for the state of charge, state of health and internal temperature are comprehensively surveyed. Finally, several key and traditional battery charging approaches with associated optimization methods are discussed.
Journal Article
Introduction to intelligent robot system design : application development with ROS
This book introduces readers to the principles and practical applications of intelligent robot system with robot operating system (ROS), pursuing a task-oriented and hands-on approach. Taking the conception, design, implementation, and operation of robot application systems as a typical project, and through learning-by-doing, practicing-while-learning approach, it familiarizes readers with ROS-based intelligent robot system design and development step by step. The topics covered include ROS principles, mobile robot control, Lidar, simultaneous localization and mapping (SLAM), navigation, manipulator control, image recognition, vision calibration, object grasping, vision SALM, etc., with typical practical application tasks throughout the book, which are essential to mastering development methods for intelligent robot system. Easy to follow and rich in content, the book can be used at colleges and universities as learning material and a teaching reference book for intelligent robot, autonomous intelligent system, robotics principles, and robot system application development with ROS in connection with automation, robotics engineering, artificial intelligence (AI), mechatronics, and other related majors. The book can assist in mastering the development and design of robot systems and provide the necessary theoretical and practical references to cultivate robot system development capabilities and can be used as teaching material for engineering training and competitions, or for reference, self-study, and training by engineering and technical personnel, teachers, and anyone who wants to engage in intelligent robot system development and design.
BOOK
Generative AI-Driven Design Method of Planar Inclined Shear Wall Components for Building Structures
The advancement of generative artificial intelligence (AI) has accelerated the progress of intelligent design methods for building structures. However, generative AI models struggle to design inclined shear wall components due to their limited generalization ability. To address this obstacle, this study proposes a data augmentation method for the planar layout of rotated shear wall structures. By enhancing the dataset and associated post-processing methods, the generalization ability of design methods driven by generative AI algorithms is effectively improved. Specifically, an augmented dataset by rotating non-inclined component design data was constructed, with rotation angles from 0° to 60°, to encompass inclined shear wall design scenarios. The improved generalization performance between diffusion models, generative adversarial networks, and graph neural networks was then compared. An automatic vectorization extraction method for inclined components from the generated design feature tensors is established, enabling the application of the enhanced generative AI algorithms. Moreover, algorithm performance analysis and typical case studies show that the diffusion model performs best in the inclined shear wall design task. This comprehensive analysis confirms that data augmentation significantly improves the adaptability of generative AI to inclined component design, providing a valuable reference for enhancing the generalization of data-driven AI design in building structures.
Journal Article
Creationism's Trojan Horse
This book explains the history and strategy of the intelligent design creationist movement, which is headquartered at the Discovery Institute’s Center for Science and Culture in Seattle, WA. The movement’s twenty-year “Wedge Strategy,” implementation of which began in 1998, is aimed at bringing intelligent design into American public schools, public policymaking, and the cultural mainstream. Beginning with a brief history of the movement and the authentication of the “Wedge Document,” in which the Wedge Strategy is outlined, the book critiques the incompetent science and rhetorical tactics of the movement’s leaders: Douglas Axe, Paul Chien, Jonathan Wells, Michael Behe, and William Dembski. The movement’s own documents reveal its religious funding sources and its execution of all phases of the strategy except the production of genuine scientific data, including its development of a legal defense against challenges to the teaching of intelligent design. The book recounts the movement’s political maneuvering in its effort to influence science curricula in individual states, most notably Kansas and Ohio, and to develop political support among members of Congress. Importantly, the book documents the centrality of religion to intelligent design, its leaders’ associations with Christian extremists, its continuity with earlier forms of creationism, and its ambitions for academic legitimacy. This 2007 edition provides updates on the movement’s efforts in Kansas and Ohio and offers a firsthand account by Barbara Forrest, who was an expert witness for the plaintiffs, of the landmark legal case involving intelligent design, Kitzmiller et al. v. Dover Area School District (2005).
eBook
Probability, Compressibility and AI: A Novel Response to Intelligent Design
This article offers a reassessment of the Intelligent Design doctrine by engaging probability theory, complexity theory and contemporary artificial intelligence. Andrey Kolmogorov’s work shows that chance belongs to an intelligible mathematical order and that complex structures can arise from patterns that admit concise description. This challenges the assumption that improbability signals an external designer and instead points to a creation whose inner rationality is stable and fruitful. Insights from self-organizing systems strengthen this view by showing how new forms of order emerge from the interaction of fluctuation and natural constraint. Recent advances in artificial intelligence including AlphaFold, de novo protein design and the Brain-Derived Hebbian architecture make aspects of this intelligibility visible by modeling and predicting biological form and basic patterns of reasoning without recourse to explicit foresight. Their capacity to generate coherent structures under learned constraints reflects the rational order of creation, which Christian theology identifies with the Divine Logos. This order provides a deeper account of divine action than interpretations of Intelligent Design grounded solely in structural improbability.
Journal Article