Plexeme Knowledge (7 results)

Paperback. Condition: new. Paperback. Smart Logic and Reasoning: Awakening Natural Intelligence in an Age of AIHow can people think clearly when information is abundant and convincing answers are available instantly?Every day, people make decisions, evaluate claims, interpret evidence, and choose between competing explanations. Yet having information is not the same as knowing how to reason about it. Good reasoning requires questioning assumptions, evaluating evidence, recognizing uncertainty, comparing alternatives, and justifying conclusions.This challenge has become especially important in the age of artificial intelligence. AI systems can retrieve information, analyze data, summarize complex material, and generate remarkably fluent answers. But an answer that sounds convincing is not necessarily correct. The ability to evaluate what an answer means, how it was derived, and whether it deserves to be trusted remains essential.Smart Logic and Reasoning explores how people reason and how different forms of reasoning work together. It moves from clear thinking to deduction, induction, abduction, and analogy, then to logical fallacies, critical evaluation, scientific inquiry, research, decision-making, and reasoning with AI.Rather than presenting logic as a collection of abstract rules or examination tricks, the book treats reasoning as a practical expression of natural intelligence. It progresses from clear thinking to individual reasoning patterns, from critical evaluation to integrated reasoning, showing how these approaches work together when real problems must be understood and decisions made.The book explores four major patterns: Deductive reasoning: What must follow if the premises are true?Inductive reasoning: What broader conclusion is supported by the available evidence?Abductive reasoning: What is the most plausible explanation for what has been observed?Analogical reasoning: What can meaningful similarities reveal about a new problem?It then examines logical fallacies, cognitive biases, evidence, correlation and causation, scientific reasoning, research, professional judgment, and AI-generated information. The final chapters show how reasoning patterns can be selected, combined, evaluated, and revised in complex situations.A special treatment of categorical syllogisms introduces their classical structure, propositions, terms, mood, figure, validity, and traditionally valid forms. An appendix provides a reference guide to valid syllogistic forms and examples.Throughout the book, reasoning is applied to everyday decisions, news and social media, research, professional judgment, scientific inquiry, analytical reasoning, and AI-generated information.The book is designed for a broad audience.Students preparing for UPSC, SSC and other competitive examinations can strengthen the conceptual foundations of logical reasoning, analytical ability, critical thinking, and problem-solving.University students, researchers, teachers, and professionals can use the frameworks to examine evidence, construct arguments, evaluate alternatives, and make more defensible decisions.General readers and curious thinkers can develop a more deliberate habit of questioning, evaluating, and revising their conclusions.The central message is simple: Good reasoning is not about relying on a single method. It is about knowing how to select, combine, evaluate, and revise different forms of reasoning as circumstances change.In an age when information and artificial intelligence are expanding rapidly, natural intelligence does not become less important. It becomes more important.The goal is not perfect reaso Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Paperback or Softback. Condition: New. The Illusion of Intelligence: How AI Deceives and How to Stay Smart. Book.

Condition: New.

Paperback. Condition: new. Paperback. Smart Logic and Reasoning: Awakening Natural Intelligence in an Age of AIHow can people think clearly when information is abundant and convincing answers are available instantly?Every day, people make decisions, evaluate claims, interpret evidence, and choose between competing explanations. Yet having information is not the same as knowing how to reason about it. Good reasoning requires questioning assumptions, evaluating evidence, recognizing uncertainty, comparing alternatives, and justifying conclusions.This challenge has become especially important in the age of artificial intelligence. AI systems can retrieve information, analyze data, summarize complex material, and generate remarkably fluent answers. But an answer that sounds convincing is not necessarily correct. The ability to evaluate what an answer means, how it was derived, and whether it deserves to be trusted remains essential.Smart Logic and Reasoning explores how people reason and how different forms of reasoning work together. It moves from clear thinking to deduction, induction, abduction, and analogy, then to logical fallacies, critical evaluation, scientific inquiry, research, decision-making, and reasoning with AI.Rather than presenting logic as a collection of abstract rules or examination tricks, the book treats reasoning as a practical expression of natural intelligence. It progresses from clear thinking to individual reasoning patterns, from critical evaluation to integrated reasoning, showing how these approaches work together when real problems must be understood and decisions made.The book explores four major patterns: Deductive reasoning: What must follow if the premises are true?Inductive reasoning: What broader conclusion is supported by the available evidence?Abductive reasoning: What is the most plausible explanation for what has been observed?Analogical reasoning: What can meaningful similarities reveal about a new problem?It then examines logical fallacies, cognitive biases, evidence, correlation and causation, scientific reasoning, research, professional judgment, and AI-generated information. The final chapters show how reasoning patterns can be selected, combined, evaluated, and revised in complex situations.A special treatment of categorical syllogisms introduces their classical structure, propositions, terms, mood, figure, validity, and traditionally valid forms. An appendix provides a reference guide to valid syllogistic forms and examples.Throughout the book, reasoning is applied to everyday decisions, news and social media, research, professional judgment, scientific inquiry, analytical reasoning, and AI-generated information.The book is designed for a broad audience.Students preparing for UPSC, SSC and other competitive examinations can strengthen the conceptual foundations of logical reasoning, analytical ability, critical thinking, and problem-solving.University students, researchers, teachers, and professionals can use the frameworks to examine evidence, construct arguments, evaluate alternatives, and make more defensible decisions.General readers and curious thinkers can develop a more deliberate habit of questioning, evaluating, and revising their conclusions.The central message is simple: Good reasoning is not about relying on a single method. It is about knowing how to select, combine, evaluate, and revise different forms of reasoning as circumstances change.In an age when information and artificial intelligence are expanding rapidly, natural intelligence does not become less important. It becomes more important.The goal is not Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Artificial intelligence can now write, explain, and persuade with remarkable fluency. It produces answers that feel structured, confident, and complete, often resembling genuine understanding. Yet fluency is not the same as understanding. This book examines a growing feature of modern life: systems that generate the form of knowledge without possessing the knowledge itself, alongside human minds that are naturally inclined to trust that form. The result is an illusion. This illusion does not arise from a single failure. It emerges from the interaction between the way predictive systems generate language and the way human cognition interprets it. Fluent output feels like intelligence. Confidence feels like authority. Coherence feels like truth. In many cases, these signals shape judgment even when the underlying process lacks grounding. The consequences extend far beyond isolated errors. A fabricated statement can circulate as fact. A generated explanation can be mistaken for understanding. A plausible output can enter workflows, reports, and decisions, gaining authority not because it has been verified but because it has been used. What begins as a local interaction can grow into institutional impact. At the same time, the value of these systems cannot be ignored. They can organize information, accelerate work, and support reasoning in genuinely useful ways. This book begins with that tension. It does not treat artificial intelligence as something to fear or reject. It treats it as something to understand clearly. By focusing on the core mechanism of language-generating systems, it traces the illusion across multiple levels: how it is produced, how it fails, why it is persuasive, how it reshapes habits of thought, and how it scales into institutional and societal consequences. From there, the book turns to practice, developing a disciplined approach to working with these systems without surrendering judgment. This is not a technical manual. No background in machine learning is required. It is an interdisciplinary exploration at the intersection of cognitive science, philosophy, and social systems, intended for both everyday users and practitioners who design or deploy these technologies. The goal is not certainty. It is clarity. In a world where language can be generated without understanding, the responsibility to distinguish between the two does not disappear. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Artificial intelligence can now write, explain, and persuade with remarkable fluency. It produces answers that feel structured, confident, and complete, often resembling genuine understanding. Yet fluency is not the same as understanding. This book examines a growing feature of modern life: systems that generate the form of knowledge without possessing the knowledge itself, alongside human minds that are naturally inclined to trust that form. The result is an illusion. This illusion does not arise from a single failure. It emerges from the interaction between the way predictive systems generate language and the way human cognition interprets it. Fluent output feels like intelligence. Confidence feels like authority. Coherence feels like truth. In many cases, these signals shape judgment even when the underlying process lacks grounding. The consequences extend far beyond isolated errors. A fabricated statement can circulate as fact. A generated explanation can be mistaken for understanding. A plausible output can enter workflows, reports, and decisions, gaining authority not because it has been verified but because it has been used. What begins as a local interaction can grow into institutional impact. At the same time, the value of these systems cannot be ignored. They can organize information, accelerate work, and support reasoning in genuinely useful ways. This book begins with that tension. It does not treat artificial intelligence as something to fear or reject. It treats it as something to understand clearly. By focusing on the core mechanism of language-generating systems, it traces the illusion across multiple levels: how it is produced, how it fails, why it is persuasive, how it reshapes habits of thought, and how it scales into institutional and societal consequences. From there, the book turns to practice, developing a disciplined approach to working with these systems without surrendering judgment. This is not a technical manual. No background in machine learning is required. It is an interdisciplinary exploration at the intersection of cognitive science, philosophy, and social systems, intended for both everyday users and practitioners who design or deploy these technologies. The goal is not certainty. It is clarity. In a world where language can be generated without understanding, the responsibility to distinguish between the two does not disappear. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…