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Paperback. Condizione: new. Paperback. Every society is, in the end, an organised society. Hospitals treat patients, universities teach students, factories convert steel into machines, start-ups convert ideas into services, and governments convert taxes into public goods. None of these outcomes is produced by resources alone. Each is produced by the deliberate act of combining resources - human, financial, physical and informational - so that the whole achieves what the parts, working separately, could never achieve. That deliberate act is management.This book is written for the student who is meeting management as a formal field of study for the first time, and for the practising supervisor or entrepreneur who has been managing for years without ever having examined the principles behind the practice. It is designed for undergraduate and postgraduate courses in commerce, business administration, engineering management, hotel and hospital administration, and for the management papers of competitive and professional examinations. The vocabulary is deliberately plain; the ideas are not diluted.The approach of this bookThree convictions have shaped every chapter.First, principles matter more than fashions. Management literature is unusually vulnerable to fashion. Techniques arrive with great excitement, are adopted by imitation rather than analysis, and quietly disappear. Underneath them, however, lies a stable body of principles - division of work, unity of command, delegation with accountability, the necessity of feedback, the human need for meaning and recognition - that has survived every change of fashion since Fayol first wrote them down. This book teaches the principles and then shows how each generation of techniques expresses them.Second, management is a practice, not merely a body of knowledge. A principle that cannot be applied is an ornament. Every chapter therefore contains worked illustrations, numerical examples, decision situations, feature boxes drawn from manufacturing, services, agriculture, the public sector and the digital economy, a full-length case study, and a project or field assignment that sends the reader out of the classroom and into a real organisation. Students who complete the sixteen project assignments in this book will have built, by the end of the course, a small portfolio of primary field research on managerial practice.Third, management is a moral activity. A manager's decisions distribute rewards and burdens among people who did not choose the manager and often cannot resist the decision. Ethics, therefore, is not a supplementary chapter tacked on at the end; questions of fairness, safety, honesty and social responsibility appear throughout, and are treated systematically in Chapter 3 and revisited in Chapters 9, 13 and 15.Structure of the bookThe sixteen chapters are grouped into six parts. Part I establishes what management is, how managerial thought evolved from the workshop floor of the nineteenth century to the algorithmic enterprise of today, and how the environment shapes managerial choice. Parts II to V follow the classical sequence of managerial functions - planning and decision making, organising and staffing, directing, and controlling - because that sequence remains the most reliable teaching architecture yet devised. Part VI turns to globalisation, digital technology, sustainability and entrepreneurship, where the principles of the earlier parts are tested against the conditions of the present decade.Chapters may be taught in the order given or re-sequenced. Instructors working to a two-semester scheme commonly take Parts I to III in the first semester and Parts IV to VI in the second. Those teaching a single-semester survey course may treat Chapters 1, 4, 5, 7, 9, 10, 11, 12 and 13 as the core and use the remaining chapte Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. For a decade the dominant question in applied artificial intelligence was how accurately a model could map an input to an output. A photograph went in and a label came out; a sentence went in and a translation came out. The model was a function, and the engineer's craft lay in fitting that function well. That era has not ended, but it has been subsumed. The question that now organises research laboratories, product roadmaps and graduate curricula alike is different in kind: not how well a model predicts, but how well a system acts - how it forms a goal, decomposes it, chooses instruments, recovers from its own mistakes, cooperates with other systems, and remains accountable to the people it serves.This book is about that shift. Agentic AI names a family of architectures in which a language model, or a society of them, is embedded in a loop with memory, tools, planning machinery and supervisory controls, so that the composite system can pursue objectives over extended horizons with limited human intervention. The engineering problems this creates are genuinely new. A model that hallucinates a citation produces a bad sentence; an agent that hallucinates a database table produces a bad migration. A model evaluated on a static benchmark is either right or wrong; an agent must be evaluated on trajectories, costs, side effects and recovery behaviour. A single model has no politics; a team of agents has delegation, disagreement, deadlock and emergent strategy.Who this book is forThe book was written for three overlapping audiences. The first is the senior undergraduate or postgraduate student taking a course in intelligent agents, applied machine learning or advanced software architecture, who needs a treatment that is rigorous about concepts and concrete about implementation. The second is the practising engineer or architect who must ship an agentic feature into production this quarter and would prefer to inherit a decade of multi-agent systems research rather than rediscover it through outages. The third is the researcher or technical leader who needs a map of the field - its results, its open problems and its genuine risks - before committing a programme to it.Readers are assumed to be comfortable with Python, with elementary probability and linear algebra, and with the basic idea of a transformer-based language model. No prior exposure to classical agent theory, reinforcement learning or distributed systems is required; where those fields are needed, they are developed from their foundations in the text.How the book is organisedPart I establishes what agency means and dissects the anatomy of an agentic system, including the cognitive architectures that recur in nearly every design. Part II treats the four core capabilities of an individual agent - planning, tool use, memory and self-improvement - and then the reinforcement-learning methods that convert experience into policy. Part III turns to multi-agent systems: communication, orchestration topologies, negotiation and market mechanisms, and the emergent behaviour of agent societies. Part IV is the engineering half of the book, covering frameworks, evaluation and observability, safety and security, deployment economics, and the hardware interfaces of embodied and edge agents. Part V closes with three complete capstone projects and a survey of the frontier.Every chapter follows the same rhythm. Concepts are introduced with a worked motivating example, formalised where formalism earns its keep, illustrated with figures and comparative tables, then reduced to runnable code. Each chapter ends with a short set of key takeaways and a graded set of exercises, some analytical and some requiring construction. Chapters are largely self-contained after Part I, so a reader with specific needs may enter the book at Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Every society is, in the end, an organised society. Hospitals treat patients, universities teach students, factories convert steel into machines, start-ups convert ideas into services, and governments convert taxes into public goods. None of these outcomes is produced by resources alone. Each is produced by the deliberate act of combining resources - human, financial, physical and informational - so that the whole achieves what the parts, working separately, could never achieve. That deliberate act is management.This book is written for the student who is meeting management as a formal field of study for the first time, and for the practising supervisor or entrepreneur who has been managing for years without ever having examined the principles behind the practice. It is designed for undergraduate and postgraduate courses in commerce, business administration, engineering management, hotel and hospital administration, and for the management papers of competitive and professional examinations. The vocabulary is deliberately plain; the ideas are not diluted.The approach of this bookThree convictions have shaped every chapter.First, principles matter more than fashions. Management literature is unusually vulnerable to fashion. Techniques arrive with great excitement, are adopted by imitation rather than analysis, and quietly disappear. Underneath them, however, lies a stable body of principles - division of work, unity of command, delegation with accountability, the necessity of feedback, the human need for meaning and recognition - that has survived every change of fashion since Fayol first wrote them down. This book teaches the principles and then shows how each generation of techniques expresses them.Second, management is a practice, not merely a body of knowledge. A principle that cannot be applied is an ornament. Every chapter therefore contains worked illustrations, numerical examples, decision situations, feature boxes drawn from manufacturing, services, agriculture, the public sector and the digital economy, a full-length case study, and a project or field assignment that sends the reader out of the classroom and into a real organisation. Students who complete the sixteen project assignments in this book will have built, by the end of the course, a small portfolio of primary field research on managerial practice.Third, management is a moral activity. A manager's decisions distribute rewards and burdens among people who did not choose the manager and often cannot resist the decision. Ethics, therefore, is not a supplementary chapter tacked on at the end; questions of fairness, safety, honesty and social responsibility appear throughout, and are treated systematically in Chapter 3 and revisited in Chapters 9, 13 and 15.Structure of the bookThe sixteen chapters are grouped into six parts. Part I establishes what management is, how managerial thought evolved from the workshop floor of the nineteenth century to the algorithmic enterprise of today, and how the environment shapes managerial choice. Parts II to V follow the classical sequence of managerial functions - planning and decision making, organising and staffing, directing, and controlling - because that sequence remains the most reliable teaching architecture yet devised. Part VI turns to globalisation, digital technology, sustainability and entrepreneurship, where the principles of the earlier parts are tested against the conditions of the present decade.Chapters may be taught in the order given or re-sequenced. Instructors working to a two-semester scheme commonly take Parts I to III in the first semester and Parts IV to VI in the second. Those teaching a single-semester survey course may treat Chapters 1, 4, 5, 7, 9, 10, 11, 12 and 13 as the core and use the rem Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. For a decade the dominant question in applied artificial intelligence was how accurately a model could map an input to an output. A photograph went in and a label came out; a sentence went in and a translation came out. The model was a function, and the engineer's craft lay in fitting that function well. That era has not ended, but it has been subsumed. The question that now organises research laboratories, product roadmaps and graduate curricula alike is different in kind: not how well a model predicts, but how well a system acts - how it forms a goal, decomposes it, chooses instruments, recovers from its own mistakes, cooperates with other systems, and remains accountable to the people it serves.This book is about that shift. Agentic AI names a family of architectures in which a language model, or a society of them, is embedded in a loop with memory, tools, planning machinery and supervisory controls, so that the composite system can pursue objectives over extended horizons with limited human intervention. The engineering problems this creates are genuinely new. A model that hallucinates a citation produces a bad sentence; an agent that hallucinates a database table produces a bad migration. A model evaluated on a static benchmark is either right or wrong; an agent must be evaluated on trajectories, costs, side effects and recovery behaviour. A single model has no politics; a team of agents has delegation, disagreement, deadlock and emergent strategy.Who this book is forThe book was written for three overlapping audiences. The first is the senior undergraduate or postgraduate student taking a course in intelligent agents, applied machine learning or advanced software architecture, who needs a treatment that is rigorous about concepts and concrete about implementation. The second is the practising engineer or architect who must ship an agentic feature into production this quarter and would prefer to inherit a decade of multi-agent systems research rather than rediscover it through outages. The third is the researcher or technical leader who needs a map of the field - its results, its open problems and its genuine risks - before committing a programme to it.Readers are assumed to be comfortable with Python, with elementary probability and linear algebra, and with the basic idea of a transformer-based language model. No prior exposure to classical agent theory, reinforcement learning or distributed systems is required; where those fields are needed, they are developed from their foundations in the text.How the book is organisedPart I establishes what agency means and dissects the anatomy of an agentic system, including the cognitive architectures that recur in nearly every design. Part II treats the four core capabilities of an individual agent - planning, tool use, memory and self-improvement - and then the reinforcement-learning methods that convert experience into policy. Part III turns to multi-agent systems: communication, orchestration topologies, negotiation and market mechanisms, and the emergent behaviour of agent societies. Part IV is the engineering half of the book, covering frameworks, evaluation and observability, safety and security, deployment economics, and the hardware interfaces of embodied and edge agents. Part V closes with three complete capstone projects and a survey of the frontier.Every chapter follows the same rhythm. Concepts are introduced with a worked motivating example, formalised where formalism earns its keep, illustrated with figures and comparative tables, then reduced to runnable code. Each chapter ends with a short set of key takeaways and a graded set of exercises, some analytical and some requiring construction. Chapters are largely self-contained after Part I, so a reader with specific needs may ente Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Every society must answer three practical questions: who will produce the goods and services people need, how will the resources for production be assembled, and who will bear the risks when an enterprise succeeds or fails The study of business organization is, fundamentally, the study of the different institutional answers to these questions. This book grew out of many years of teaching Business Organization to undergraduate students in commerce and management. Too often, the subject is presented as a catalogue of definitions, features, merits and demerits to be memorised for examinations. This approach may help students recall information, but it does little to develop an understanding of why different forms of business organization exist or when one form may be more appropriate than another. The central principle of this book is therefore understanding rather than memorisation. Before examining the features of a partnership, company or cooperative, the reader is introduced to the business problem that the form is designed to solve. Comparisons are used throughout because no form of organization can be fully understood without considering the alternatives available to entrepreneurs and managers. What This Book ContainsThe book is organised into four broad parts. The first develops the foundations of business activity, enterprise formation and the business environment. The second examines major forms of business organization, from sole proprietorship and partnership to companies, cooperatives and multinational enterprises, and provides a framework for choosing among them. The third explores the internal organization of enterprises, including authority, delegation, structures, location, layout, mergers and acquisitions. The final part introduces key functional areas such as finance, financial markets, marketing, human resources, risk management and insurance, and concludes with ethics, corporate governance and sustainability.>The book draws on widely recognised principles of business and corporate law, with references to national legal systems where they help illustrate important differences. Because laws, regulations, thresholds and procedures vary across jurisdictions and change over time, readers should consult the applicable current legislation and regulatory guidance before relying on any legal or procedural information in practice. Monetary examples use internationally understandable conventions, with local variations noted where relevant. Company names used in illustrations are hypothetical unless expressly identified as real organisations.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

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

Condizione: New. Print on Demand.

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

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

Paperback. Condizione: new. Paperback. Every society must answer three practical questions: who will produce the goods and services people need, how will the resources for production be assembled, and who will bear the risks when an enterprise succeeds or fails? The study of business organization is, fundamentally, the study of the different institutional answers to these questions. This book grew out of many years of teaching Business Organization to undergraduate students in commerce and management. Too often, the subject is presented as a catalogue of definitions, features, merits and demerits to be memorised for examinations. This approach may help students recall information, but it does little to develop an understanding of why different forms of business organization exist or when one form may be more appropriate than another. The central principle of this book is therefore understanding rather than memorisation. Before examining the features of a partnership, company or cooperative, the reader is introduced to the business problem that the form is designed to solve. Comparisons are used throughout because no form of organization can be fully understood without considering the alternatives available to entrepreneurs and managers. What This Book ContainsThe book is organised into four broad parts. The first develops the foundations of business activity, enterprise formation and the business environment. The second examines major forms of business organization, from sole proprietorship and partnership to companies, cooperatives and multinational enterprises, and provides a framework for choosing among them. The third explores the internal organization of enterprises, including authority, delegation, structures, location, layout, mergers and acquisitions. The final part introduces key functional areas such as finance, financial markets, marketing, human resources, risk management and insurance, and concludes with ethics, corporate governance and sustainability.The book also includes a glossary, comparative revision tables, project and field-work guidance, model examination questions and a select bibliography. The book draws on widely recognised principles of business and corporate law, with references to national legal systems where they help illustrate important differences. Because laws, regulations, thresholds and procedures vary across jurisdictions and change over time, readers should consult the applicable current legislation and regulatory guidance before relying on any legal or procedural information in practice. Monetary examples use internationally understandable conventions, with local variations noted where relevant. Company names used in illustrations are hypothetical unless expressly identified as real organisations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

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

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

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

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

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

Paperback. Condizione: new. Paperback. Generative Artificial Intelligence has moved, within the space of a very few years, from a specialised research pursuit to a technology that touches how millions of people write, code, design, and make decisions every day. It has also become, unavoidably, a subject that is discussed a great deal and understood carefully by comparatively few. This book was written to close that gap - to give a motivated reader, whether a student, an engineer, a researcher, or simply a curious professional, a genuine, mathematically grounded understanding of how these systems actually work, from the first principles of a single artificial neuron through to the autonomous, tool-using AI agents at the frontier of the field today.The book is organised in four parts, and it is written to be read in order, though each chapter is also reasonably self-contained for readers who wish to use it as a reference. Part I builds the mathematical and neural-network foundations required for everything that follows. Part II covers generative modelling proper - autoencoders, generative adversarial networks, diffusion models, and the Transformer architecture - culminating in a full account of how large language models are pretrained and scaled. Part III addresses how a raw pretrained model becomes a genuinely useful, aligned, and evaluable system, through fine-tuning, reinforcement learning from human feedback, prompt engineering, retrieval-augmented generation, and rigorous evaluation methodology. Part IV, the newest and fastest-moving material in this book, is devoted to AI agents: their architectures, their planning and tool-use strategies, their coordination in multi-agent systems, and their responsible, well-governed deployment in real projects.A few choices in how this book is written are worth stating plainly. First, every major concept is developed from its mathematical foundation rather than presented as a black box - the reader who works through Chapter 2 carefully will find that very little in the later chapters requires an unexplained leap of faith. Second, the book treats capability and responsibility as inseparable: wherever a powerful technique is introduced, its failure modes, risks, and mitigations are discussed alongside it, and Chapter 20 is devoted entirely to the ethical and governance dimensions of this field. Third, the book is deliberately full of worked examples, diagrams, tables, and runnable code listings, in the conviction that generative AI is best understood by seeing its ideas made concrete, not merely described in prose.This is a field that will continue to change quickly, and some of the specific systems and figures discussed in these pages will, in time, be superseded. What I have tried hardest to make durable is the underlying structure of ideas - the mathematics of attention, the logic of alignment, the architecture of an agent's reasoning loop - so that a reader who masters this book is well equipped not only to understand the generative AI of today, but to make sense of whatever comes next. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

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

Paperback. Condizione: new. Paperback. Every society must answer three practical questions: who will produce the goods and services people need, how will the resources for production be assembled, and who will bear the risks when an enterprise succeeds or fails? The study of business organization is, fundamentally, the study of the different institutional answers to these questions. This book grew out of many years of teaching Business Organization to undergraduate students in commerce and management. Too often, the subject is presented as a catalogue of definitions, features, merits and demerits to be memorised for examinations. This approach may help students recall information, but it does little to develop an understanding of why different forms of business organization exist or when one form may be more appropriate than another. The central principle of this book is therefore understanding rather than memorisation. Before examining the features of a partnership, company or cooperative, the reader is introduced to the business problem that the form is designed to solve. Comparisons are used throughout because no form of organization can be fully understood without considering the alternatives available to entrepreneurs and managers. What This Book ContainsThe book is organised into four broad parts. The first develops the foundations of business activity, enterprise formation and the business environment. The second examines major forms of business organization, from sole proprietorship and partnership to companies, cooperatives and multinational enterprises, and provides a framework for choosing among them. The third explores the internal organization of enterprises, including authority, delegation, structures, location, layout, mergers and acquisitions. The final part introduces key functional areas such as finance, financial markets, marketing, human resources, risk management and insurance, and concludes with ethics, corporate governance and sustainability.The book also includes a glossary, comparative revision tables, project and field-work guidance, model examination questions and a select bibliography. The book draws on widely recognised principles of business and corporate law, with references to national legal systems where they help illustrate important differences. Because laws, regulations, thresholds and procedures vary across jurisdictions and change over time, readers should consult the applicable current legislation and regulatory guidance before relying on any legal or procedural information in practice. Monetary examples use internationally understandable conventions, with local variations noted where relevant. Company names used in illustrations are hypothetical unless expressly identified as real organisations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Generative Artificial Intelligence has moved, within the space of a very few years, from a specialised research pursuit to a technology that touches how millions of people write, code, design, and make decisions every day. It has also become, unavoidably, a subject that is discussed a great deal and understood carefully by comparatively few. This book was written to close that gap - to give a motivated reader, whether a student, an engineer, a researcher, or simply a curious professional, a genuine, mathematically grounded understanding of how these systems actually work, from the first principles of a single artificial neuron through to the autonomous, tool-using AI agents at the frontier of the field today.The book is organised in four parts, and it is written to be read in order, though each chapter is also reasonably self-contained for readers who wish to use it as a reference. Part I builds the mathematical and neural-network foundations required for everything that follows. Part II covers generative modelling proper - autoencoders, generative adversarial networks, diffusion models, and the Transformer architecture - culminating in a full account of how large language models are pretrained and scaled. Part III addresses how a raw pretrained model becomes a genuinely useful, aligned, and evaluable system, through fine-tuning, reinforcement learning from human feedback, prompt engineering, retrieval-augmented generation, and rigorous evaluation methodology. Part IV, the newest and fastest-moving material in this book, is devoted to AI agents: their architectures, their planning and tool-use strategies, their coordination in multi-agent systems, and their responsible, well-governed deployment in real projects.A few choices in how this book is written are worth stating plainly. First, every major concept is developed from its mathematical foundation rather than presented as a black box - the reader who works through Chapter 2 carefully will find that very little in the later chapters requires an unexplained leap of faith. Second, the book treats capability and responsibility as inseparable: wherever a powerful technique is introduced, its failure modes, risks, and mitigations are discussed alongside it, and Chapter 20 is devoted entirely to the ethical and governance dimensions of this field. Third, the book is deliberately full of worked examples, diagrams, tables, and runnable code listings, in the conviction that generative AI is best understood by seeing its ideas made concrete, not merely described in prose.This is a field that will continue to change quickly, and some of the specific systems and figures discussed in these pages will, in time, be superseded. What I have tried hardest to make durable is the underlying structure of ideas - the mathematics of attention, the logic of alignment, the architecture of an agent's reasoning loop - so that a reader who masters this book is well equipped not only to understand the generative AI of today, but to make sense of whatever comes next. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…