How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides...(展开全部)

How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides...(展开全部)

在线阅读本书 Beginning with a basic primer on reverse engineering-including computer internals, operating systems, and assembly language-and then discussing the various applications of reverse engineering, this book provides readers with practical, in-depth techniques for software reverse engineering. The book is broken into two parts, the first deals with security-related revers...(展开全部)

在线阅读本书 Beginning with a basic primer on reverse engineering-including computer internals, operating systems, and assembly language-and then discussing the various applications of reverse engineering, this book provides readers with practical, in-depth techniques for software reverse engineering. The book is broken into two parts, the first deals with security-related revers...(展开全部)

If you want to analyze software in order to exploit its weaknesses and strengthen its defenses, then you should explore reverse engineering. Reverse Engineering is a hackerfriendly tool used to expose security flaws and questionable privacy practices.In this book, you will learn how to analyse software even without having access to its source code or design documents. You will start off by learning the low-level language used to communicate with the computer and then move on to covering reverse engineering techniques. Next, you will explore analysis techniques using real-world tools such as IDA Pro and x86dbg. As you progress through the chapters, you will walk through use cases encountered in reverse engineering, such as encryption and compression, used to obfuscate code, and how to to identify and overcome anti-debugging and anti-analysis tricks. Lastly, you will learn how to analyse other types of files that contain code.By the end of this book, you will have the confidence to perform reverse engineering.

If you want to analyze software in order to exploit its weaknesses and strengthen its defenses, then you should explore reverse engineering. Reverse Engineering is a hackerfriendly tool used to expose security flaws and questionable privacy practices.In this book, you will learn how to analyse software even without having access to its source code or design documents. You will start off by learning the low-level language used to communicate with the computer and then move on to covering reverse engineering techniques. Next, you will explore analysis techniques using real-world tools such as IDA Pro and x86dbg. As you progress through the chapters, you will walk through use cases encountered in reverse engineering, such as encryption and compression, used to obfuscate code, and how to to identify and overcome anti-debugging and anti-analysis tricks. Lastly, you will learn how to analyse other types of files that contain code.By the end of this book, you will have the confidence to perform reverse engineering.

Topics discussed: x86/x64, ARM/ARM64, MIPS, Java/JVM. Topics touched: Oracle RDBMS, Itanium, copy-protection dongles, LD_PRELOAD, stack overflow, ELF, win32 PE file format, x86-64, critical sections, syscalls, TLS, position-independent code (PIC), profile-guided optimization, C++ STL, OpenMP, win32 SEH.

Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two...(展开全部)

杰尔姆•R.布斯迈耶（Jerome R. Busemeyer）是美国印第安纳大学Bloomington分校心理与脑科学系的教授。他的研究内容是学习和决策的数学模型，他提出了一个人类决策的动态理论，称为决策场理论。布斯迈耶教授在认知和决策科学期刊（包括《心理学评论》）上，发表了100多篇文章，并于2005~2010年担任《数学心理学期刊》的主编. 彼得•D.布鲁扎（Peter D. Bruza）是澳大利亚Brisbane Queensland大学科学与技术学院的教授，他的研究涉及信息检索、认知科学和应用逻辑。他是量子互动领域（QI）的先驱和发起人之一，并在量子互动研讨会的指导委员会任职。布鲁扎教授还在《信息检索》《应用逻辑学报》《IGPL逻辑学报》以及“信息科学与知识管理系列丛书”的编辑委员会任职。

人脑由850亿个神经元组成，它们由超过100万亿个突触连接。一个多世纪以来，各种各样的研究人员一直在寻找一种语言，该语言可以用来捕捉这些神经元的工作原理以及它们如何交流的本质，以及这些交流如何产生思想，观念和行为。他们正在寻找的语言是数学，如果没有它，我们将无法像今天一样理解大脑。在《心灵模型》中，作者和计算神经科学家Grace Lindsay解释了数学模型如何使科学家理解和描述大脑的许多过程，包括决策，感觉处理，量化记忆等。她向读者介绍了现代神经科学中最重要的概念，并强调了当数学建模的抽象世界与生物学的凌乱细节碰撞时出现的紧张关系。思维模型的每一章都侧重于已在神经科学的特定领域中应用的数学工具，从最简单的大脑构造物-单个神经元-到相互作用的神经元回路，整个大脑区域甚至行为的过程，不断发展。那大脑命令。此外，格蕾丝（Grace）还研究了该领域的历史，...(展开全部)