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Fattah Y: Causal Inference with Bayesian
Networks

Causal Inference with Bayesian Networks

Build Bayesian Networks and Causal Inference Models with R and Python

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

NEW YORK TIMES BESTSELLER • From linguist Adam Aleksic, known as @etymologynerd on social media, comes a captivating exploration of how internet algorithms are transforming language and communication in unprecedented ways. “Packed with fascinating facts, of-the-moment observations, and a sparkling voice, Algospeak is a gift to any word nerd. Deftly covering everything from emoji etymologies and trendbait to Taylor Swift fanilects... Adam Aleksic is the wise, yet accessible internet linguistics oracle we need.”—Amanda Montell, author of The Age of Magical Overthinking and Cultish From “brainrot” memes and incel slang to the trend of adding&nbsp;&nbsp;“-core” to different influencer aesthetics, the internet has ushered in an unprecedented linguistic upheaval. We’re entering an entirely new era of etymology, heralded by the invisible forces driving social media algorithms. Thankfully, Algospeak is here to explain. As a professional linguist, Adam Aleksic understands the gravity of language and the way we use it: he knows the ways it has morphed and changed, how it reflects society, and how, in its everyday usage, we carry centuries of human history on our tongues. As a social media influencer, Aleksic is also intimately familiar with the internet’s reach and how social media impacts the way we engage with one another. New slang emerges and goes viral overnight. Accents are shaped or erased on YouTube. Grammatical rules, loopholes, and patterns surface and transform language as we know it.&nbsp;Our interactions, social norms, and habits—both online and in person—shift into something completely different. As Aleksic uses original surveys, data, and internet archival research to usher us through this new linguistic landscape, he also illuminates how communication is changing in both familiar and unexpected ways. From our use of emojis to sentence structure to the ways younger generations talk about sex and death (see unalive in English and desvivirse in Spanish), we are in a brand-new world, one shaped by algorithms and technology. Algospeak is an energetic, astonishing journey into language, the internet, and what this intersection means for all of us.

NEW YORK TIMES BESTSELLER • From linguist Adam Aleksic, known as @etymologynerd on social media, comes a captivating exploration of how internet algorithms are transforming language and communication in unprecedented ways. “Packed with fascinating facts, of-the-moment observations, and a sparkling voice, Algospeak is a gift to any word nerd. Deftly covering everything from emoji etymologies and trendbait to Taylor Swift fanilects... Adam Aleksic is the wise, yet accessible internet linguistics oracle we need.”—Amanda Montell, author of The Age of Magical Overthinking and Cultish From “brainrot” memes and incel slang to the trend of adding&nbsp;&nbsp;“-core” to different influencer aesthetics, the internet has ushered in an unprecedented linguistic upheaval. We’re entering an entirely new era of etymology, heralded by the invisible forces driving social media algorithms. Thankfully, Algospeak is here to explain. As a professional linguist, Adam Aleksic understands the gravity of language and the way we use it: he knows the ways it has morphed and changed, how it reflects society, and how, in its everyday usage, we carry centuries of human history on our tongues. As a social media influencer, Aleksic is also intimately familiar with the internet’s reach and how social media impacts the way we engage with one another. New slang emerges and goes viral overnight. Accents are shaped or erased on YouTube. Grammatical rules, loopholes, and patterns surface and transform language as we know it.&nbsp;Our interactions, social norms, and habits—both online and in person—shift into something completely different. As Aleksic uses original surveys, data, and internet archival research to usher us through this new linguistic landscape, he also illuminates how communication is changing in both familiar and unexpected ways. From our use of emojis to sentence structure to the ways younger generations talk about sex and death (see unalive in English and desvivirse in Spanish), we are in a brand-new world, one shaped by algorithms and technology. Algospeak is an energetic, astonishing journey into language, the internet, and what this intersection means for all of us.

How Social Media Is Transforming the Future of Language

Algospeak

Why The Stack—an accidental megastructure—is both a technological apparatus and the geopolitical model of our times. A tenth anniversary edition of the comprehensive political philosophy of planetary-scale computation, with a new preface from the author. What has planetary-scale computation done to our geopolitical realities? It takes different forms at different scales—from energy and mineral sourcing and subterranean cloud infrastructure to urban software and massive universal addressing systems; from interfaces drawn by the augmentation of the hand and eye to users identified by self-quantification and the arrival of legions of sensors, algorithms, and robots. Together, how do these distort and deform modern political geographies and produce new territories in their own image? In an account that is both theoretical and technical, drawing on political philosophy, design theory, and computer science, Bratton explores six layers of The Stack: Earth, Cloud, City, Address, Interface, User.

Why The Stack—an accidental megastructure—is both a technological apparatus and the geopolitical model of our times. A tenth anniversary edition of the comprehensive political philosophy of planetary-scale computation, with a new preface from the author. What has planetary-scale computation done to our geopolitical realities? It takes different forms at different scales—from energy and mineral sourcing and subterranean cloud infrastructure to urban software and massive universal addressing systems; from interfaces drawn by the augmentation of the hand and eye to users identified by self-quantification and the arrival of legions of sensors, algorithms, and robots. Together, how do these distort and deform modern political geographies and produce new territories in their own image? In an account that is both theoretical and technical, drawing on political philosophy, design theory, and computer science, Bratton explores six layers of The Stack: Earth, Cloud, City, Address, Interface, User.

On Software and Sovereignty

The Stack, 10th anniversary edition with new preface by the author

Discover how to adapt, adopt, and thrive in an AI-anxious era, written by the man with the compass for our maze Expecting the apocalypse around the corner? This book is your playbook to surviving the rise of machine learning. 71% of workers are anxious about AI. The good news: the machines still need you, and you can make them work for you. Don't Panic cuts through the noise, showing you exactly how this technology works and where it fails, and why your human judgment is more valuable than ever. Instead of focusing on technical skills or abstract predictions, author Nate B. Jones ("AI Nate") begins with the emotional reality behind AI anxiety, drawing on his 20-years experience in the tech industry. He's garnered trust from more than 1 million people to help them stay relevant in a rapidly changing technological landscape. AI might have a planet-sized brain, but just like Marvin the Android from The Hitchhiker’s Guide to the Galaxy, it’s permanently stuck at factory settings. It can’t learn, it can’t adapt, and it can’t gain wisdom. This book reveals why AI's permanent blind spots make human judgment more valuable today than ever before.&nbsp; Worry less, and start owning your future.

Discover how to adapt, adopt, and thrive in an AI-anxious era, written by the man with the compass for our maze Expecting the apocalypse around the corner? This book is your playbook to surviving the rise of machine learning. 71% of workers are anxious about AI. The good news: the machines still need you, and you can make them work for you. Don't Panic cuts through the noise, showing you exactly how this technology works and where it fails, and why your human judgment is more valuable than ever. Instead of focusing on technical skills or abstract predictions, author Nate B. Jones ("AI Nate") begins with the emotional reality behind AI anxiety, drawing on his 20-years experience in the tech industry. He's garnered trust from more than 1 million people to help them stay relevant in a rapidly changing technological landscape. AI might have a planet-sized brain, but just like Marvin the Android from The Hitchhiker’s Guide to the Galaxy, it’s permanently stuck at factory settings. It can’t learn, it can’t adapt, and it can’t gain wisdom. This book reveals why AI's permanent blind spots make human judgment more valuable today than ever before.&nbsp; Worry less, and start owning your future.

AI Optimism for the Mildly Alarmed

Don't Panic

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

'Sarah is one of the few people who really understands how AI is changing the character of work already and what it means for all of us' David Runciman'Original and enlightening... Not many books about the labour market make you laugh and bring tears to your eyes' Emma Duncan, The Times From award-winning Financial Times journalist Sarah O'Connor, a deeply reported investigation into how AI is transforming our working lives in unpredictable ways A tsunami of change, we are told, is sweeping the economy, as robots and AI threaten to take over tasks done by humans. But while we worry that we're robotizing our work, what if the bigger risk is that we're robotizing ourselves? When prize-winning Financial Times journalist Sarah O'Connor set out to investigate what was happening on the ground, she met people who weren't necessarily losing their jobs to machines, but who felt they were losing something, nonetheless. Because the quantity of work is not the only thing at stake in times of rapid technological change. So is its quality. From TV subtitle translators reduced to editing AI output to warehouse workers surrounded by robots and graduates interviewed by machines, O'Connor found stories of work becoming more intense, more lonely, less creative, less human.But she also investigated hopeful instances of work being made better, safer and more enjoyable - stories in which people have been able to make the machines work for them, rather than the other way around.Her reporting shows that the way our tools change our work - and ourselves - is shaped by power, design, culture, institutions and ideas. As a result, the outcome is not pre-determined but must be contested by us all. Inspired by stories from nineteenth-century English cotton mills to twenty-first century Swedish mines, We Are Not Machines reveals how we can fight for work which is more respectful of our limits, and more worthy of our minds.

The Fight for the Future of Work

We Are Not Machines

Audits are no longer random-and compliance is no longer manual. Today, artificial intelligence determines which businesses get audited, how deeply investigators dig, and whether a review escalates into penalties or quietly disappears.

AI Audit Defense &amp; Risk Reduction reveals how modern enforcement systems actually work-and how smart businesses use the same AI logic to stay protected, credible, and invisible to unnecessary scrutiny.

This book is not about fear, loopholes, or hiding income. It's about designing a business that algorithms trust.
Inside, you'll discover how AI-driven tax authorities evaluate risk, how audit scores are calculated, and how to proactively shape your financial data so your business remains statistically clean, defensible, and low-priority for investigation-year after year.
In this book, you'll learn how to:Understand how AI selects businesses for IRS audits and regulatory reviews
Identify the hidden financial patterns that silently increase audit risk
Use AI to calculate and monitor your business's audit risk score
Build a complete digital audit trail that satisfies both humans and machines
Detect compliance red flags in real time-before filings are submitted
Respond to audit inquiries strategically without escalating scrutiny
Turn past audits into intelligence that lowers future risk
Design long-term compliance systems that create "audit immunity"
Make defensible financial decisions that remain explainable years later
Transform compliance from a liability into a competitive advantage


Who this book is for:Business owners and entrepreneurs
Investors and real estate professionals
Consultants, agencies, and service firms
Online businesses and multi-entity operators
Anyone who wants to grow without triggering regulatory attention



If you want to stop worrying about audits, understand how enforcement algorithms really work, and build a business that thrives under constant observation, AI Audit Defense &amp; Risk Reduction gives you the framework, mindset, and systems to do exactly that.
In the age of AI-driven enforcement, the safest businesses aren't the smallest or quietest-they're the smartest.

How Businesses Avoid Costly IRS Investigations

AI Audit Defense & Risk Reduction

Persuasion, Datafication, and Privacy

The Algorithmic Child Consumer

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

A sweeping roadmap for business leaders in the AI age, when every organization must rethink how it operates, competes, and creates value—from AI legend and New York Times bestselling author of AI Superpowers and AI 2041 Kai-Fu Lee “Kai-Fu Lee is among our most prescient thinkers and writers…. Powerful.”—Satya Nadella, Microsoft CEO Two years ago, the best AI agents could autonomously complete tasks that took a human expert roughly six minutes to complete. Today, top AI agents across nearly all white-collar industries can complete the workday of the smartest humans in less time than a coffee break—at a fraction of the cost.  What happens when the most expensive thing that companies buy—human thinking—becomes practically free? This is the single most consequential question facing business leaders for a generation, and many are struggling with how to answer it. AI is not simply another technology cycle but a fundamental transformation in the economics of business. The answer is not to dabble. It is to become AI Native. Kai-Fu Lee has spent the past four decades pioneering AI in business from nearly every vantage point: as a researcher, senior executive at Apple, Microsoft, and Google, and now a CEO himself. Few thinkers can match his combination of technical expertise and business acumen.  In AI Native, he draws from this deep well of experience to offer a radical new roadmap for company leaders to become AI Native. With punchy, insightful guidance, Lee dispels the lies CEOs are being told about AI, offers a clear roadmap for how to re-structure teams with powerful agentic AI at the center of the enterprise, and reveals the power and potential of using AI to tap into the hidden trove of knowledge inside companies. Those that get it right will flourish in the AI age. AI Native is the only book leaders need to navigate the defining challenge of our time.

A sweeping roadmap for business leaders in the AI age, when every organization must rethink how it operates, competes, and creates value—from AI legend and New York Times bestselling author of AI Superpowers and AI 2041 Kai-Fu Lee “Kai-Fu Lee is among our most prescient thinkers and writers…. Powerful.”—Satya Nadella, Microsoft CEO Two years ago, the best AI agents could autonomously complete tasks that took a human expert roughly six minutes to complete. Today, top AI agents across nearly all white-collar industries can complete the workday of the smartest humans in less time than a coffee break—at a fraction of the cost.  What happens when the most expensive thing that companies buy—human thinking—becomes practically free? This is the single most consequential question facing business leaders for a generation, and many are struggling with how to answer it. AI is not simply another technology cycle but a fundamental transformation in the economics of business. The answer is not to dabble. It is to become AI Native. Kai-Fu Lee has spent the past four decades pioneering AI in business from nearly every vantage point: as a researcher, senior executive at Apple, Microsoft, and Google, and now a CEO himself. Few thinkers can match his combination of technical expertise and business acumen.  In AI Native, he draws from this deep well of experience to offer a radical new roadmap for company leaders to become AI Native. With punchy, insightful guidance, Lee dispels the lies CEOs are being told about AI, offers a clear roadmap for how to re-structure teams with powerful agentic AI at the center of the enterprise, and reveals the power and potential of using AI to tap into the hidden trove of knowledge inside companies. Those that get it right will flourish in the AI age. AI Native is the only book leaders need to navigate the defining challenge of our time.

The Mandate to Transform Your Company

AI Native

Urban tourism transforms through the integration of AI, reshaping how visitors experience cities and how destinations are managed. AI technologies deliver personalized services, optimize resource allocation, and enhance visitor satisfaction. From smart travel assistants and real-time navigation tools to data-driven destination management, AI provides valuable insights that improve both operational efficiency and tourist experiences. City and tourism organizations can leverage AI-generated insights to better understand visitor behavior, manage overcrowding, and promote sustainable tourism practices. As cities evolve into smart destinations, AI drives innovation, competitiveness, and resilience in the tourism sector, creating more engaging, efficient, and sustainable urban travel experiences. AI Insights in City Tourism: Transforming Experiences, Services, and Destinations explores AI's transformative impact on urban tourism. It provides both a conceptual foundation and practical insights for understanding how AI reshapes tourism services, experiences, and applications. This book covers topics such as hotel management, urban mobility, and algorithms, and is a useful resource for business owners, engineers, urban developers, academicians, researchers, and scientists.

Transforming Experiences, Services, and Destinations

AI Insights in City Tourism

Build a more secure network with PF. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more.&nbsp; You’ll also learn how to: <ul><li>Create rulesets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks</li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions</li><li>Maximize flexibility and service availability via CARP, relayd, and redirection</li><li>Build adaptive firewalls to proactively defend against attackers and spammers</li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect</li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow)</li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.x, FreeBSD 14.x, and NetBSD 10.x

Build a more secure network with PF. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more.&nbsp; You’ll also learn how to: <ul><li>Create rulesets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks</li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions</li><li>Maximize flexibility and service availability via CARP, relayd, and redirection</li><li>Build adaptive firewalls to proactively defend against attackers and spammers</li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect</li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow)</li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.x, FreeBSD 14.x, and NetBSD 10.x

A No-Nonsense Guide to the OpenBSD Firewall

The Book of PF, 4th Edition

Causal Inference with Bayesian Networks

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