Milani martin (24 resultados)

Soft cover. Condición: Fine. xiii, 133, [30] pages : illustrations ; 22 cm ISBN 9780939214303, 093921430X OCLC 46610107 LCCN 85061187 LC PK6561.F264 A25 1985 Dewey 891.5513 ; pictorial stiff paper wrappers ; Title on added t.p.: Tavalludi?-i di?gar ; Forugh Farrokhzad was an influential Iranian poet and film director. She was a controversial modernist poet and an iconoclastic, feminist author. Farrokhzad died in a car accident at the age of 32.- Wikipedia ; FINE. Azar Hicks (ilustrador). Book.…

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 50th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2024, held in Gozd Martuljek, Slovenia in June 2024,The 31 papers presented in this volume were carefully reviewed and selected from 89 submissions.Additionally, this volume also contains a survey on approximation algorithms for tree-width, path-width, and tree-depth prepared by Hans Bodlander, who delivered the Test of Time Award talk at WG 2024.The WG 2024 workshop aims to merge theory and practice by demonstrating how concepts fromgraph theory can be applied to various areas in computer science or by extractingnew graph-theoretic problems from applications.…

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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

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Hardcover, 255 pages, FR. / GER. text., illustrated in color / b/w, As Good As New ! ISBN 9789995908690. 1250 g.

Hardback. Condición: New. Fluency is not intelligence. Prediction is not understanding. And today's AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Gödel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how today's systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of human-AI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers:A historical and epistemological critique of AI's drift from logic to statistical mimicry.A reconstruction of intelligence grounded in causal reasoning, structure, and explanation.A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge.A roadmap for trustworthy, transparent, and symbiotic machine intelligence.For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in today's AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks.…

Condición: New. Martin Milani is a technology entrepreneur, CEO, CTO, strategist, and systems architect whose work spans artificial intelligence, distributed systems, internet computing, and next-generation computing. Over the course of his career, he h.

Buch. Condición: Neu. Neuware - Fluency is not intelligence. Prediction is not understanding. And today's AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Gödel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how today's systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of human-AI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers: - A historical and epistemological critique of AI's drift from logic to statistical mimicry. - A reconstruction of intelligence grounded in causal reasoning, structure, and explanation. - A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge. - A roadmap for trustworthy, transparent, and symbiotic machine intelligence. For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in today's AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks.…

Hardback. Condición: New. Fluency is not intelligence. Prediction is not understanding. And today's AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Gödel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how today's systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of human-AI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers:A historical and epistemological critique of AI's drift from logic to statistical mimicry.A reconstruction of intelligence grounded in causal reasoning, structure, and explanation.A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge.A roadmap for trustworthy, transparent, and symbiotic machine intelligence.For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in today's AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks.…

fester Einband. 253 S., zahlr. Abb. 4° Kart. Sprache: Deutsch,Sprache: Französisch 1200 gr.

Condición: gut. Mansfeld revisited : l'ancien château "la fontaine" et son parc à Luxembourg-Clausen In deutscher Sprache. pages.

Hardcover. Condición: new. Hardcover. Fluency is not intelligence. Prediction is not understanding. And todays AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Goedel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how todays systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of humanAI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers:A historical and epistemological critique of AIs drift from logic to statistical mimicry.A reconstruction of intelligence grounded in causal reasoning, structure, and explanation.A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge.A roadmap for trustworthy, transparent, and symbiotic machine intelligence.For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in todays AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks. In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. Fluency is not intelligence. Prediction is not understanding. And todays AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Goedel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how todays systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of humanAI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers:A historical and epistemological critique of AIs drift from logic to statistical mimicry.A reconstruction of intelligence grounded in causal reasoning, structure, and explanation.A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge.A roadmap for trustworthy, transparent, and symbiotic machine intelligence.For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in todays AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks. In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: new. Hardcover. Fluency is not intelligence. Prediction is not understanding. And todays AI has mistaken one for the other.In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations.Drawing from the intellectual lineage of Aristotle, Euclid, Russell, Goedel, Turing, McCarthy, and Minsky, Martin Milani exposes the core illusion beneath modern AI, the belief that eloquence and probability can substitute for meaning and reasoning. He shows how todays systems generate speech without comprehension, confidence without justification, and predictions without any grounding in truth.At the center of the book is Real-Time Reasoning (RTR), a new multi-layer architecture for AI that integrates perceptual learning with Bayesian inference, symbolic reasoning, fuzzy logic, logic-based explanation, and transparent decision pathways. RTR does not imitate intelligence; it constructs it. It reasons in real time, exposes every inference step, and produces conclusions that can be interrogated, audited, verified, and trusted.This architecture is designed for epistemic integrity, with systems that not only produce outputs, but whose reasoning can be explained, justified, and challenged. It enables explainability and auditability by making knowledge dynamic, structured, traceable, and accountable, and it opens the door to a future of humanAI symbiosis, where machines serve as partners in reasoning rather than engines of imitation, and not as replacements for human judgment or creativity, but as collaborators in amplifying and extending both.Bridging philosophy, mathematics, cognitive science, and computer science, Logic Before Language offers:A historical and epistemological critique of AIs drift from logic to statistical mimicry.A reconstruction of intelligence grounded in causal reasoning, structure, and explanation.A practical, future-focused framework for building AI systems that reason deductively, inductively, and abductively, generating auditable and justified conclusions, meaningful explanations, and new knowledge.A roadmap for trustworthy, transparent, and symbiotic machine intelligence.For technologists, researchers, academics, policymakers, philosophers, deep thinkers, and AI enthusiasts who sense that something fundamental is missing in todays AI revolution, this book delivers both diagnosis and blueprint. It argues that the next era of AI will not be defined by bigger models or more data, but by a return to logic, meaning, and real understanding.This is the case for AI that thinks and reasons. Not just one that talks. In an era dominated by language models that imitate thought without engaging in it, Logic Before Language makes a bold and urgent argument: if we want machines that truly understand, reason, and justify their conclusions, we must rebuild AI from its logical foundations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…