Donglin Liang (10 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment.…

Paperback. Condition: new. Paperback. AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building?Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Generative AI has changed how we think about intelligence. But what if it can also help us understand how the human mind forms, struggles, and adapts?Human mental life is not a fixed script. It is not random drift. It is a process of generated continuation under learned constraint - a movement through possibilities shaped by the body, environment, memory, attention, reward, relationship, language, social pressure, and repeated experience.In How the Mind Lives, Donglin Liang extends the framework of Persistent Coherent Agency into the developmental conditions of mind. The book explores how body and environment shape what a person can notice, tolerate, sustain, revise, and carry forward. It asks how the field of possible continuation is formed over time, and why some patterns become flexible while others become narrowed, overloaded, rigid, repetitive, or difficult to escape.This perspective offers a new way to understand common difficulty patterns such as ADHD, autism, OCD, and anxiety. Rather than treating them only as symptom clusters, Liang examines them as distinctive organizations of trajectory governance: different ways the mind handles salience, uncertainty, persistence, sensory load, closure, flexibility, evaluation, and self-continuity.The book also speaks to a new developmental reality. Children now grow up in environments shaped by social media, digital comparison, emotional contagion, extreme views, and generative AI. These technologies do not merely provide tools or information. They shape attention, reward, imagination, belief, social expectation, and self-relation.At the intersection of generative AI, psychology, embodiment, development, and mental health, How the Mind Lives offers a bold and original account of how minds are formed - and what conditions allow coherent continuation to remain possible. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: new. Paperback. AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building?Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment. 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. Condition: new. Paperback. Generative AI has changed how we think about intelligence. But what if it can also help us understand how the human mind forms, struggles, and adapts?Human mental life is not a fixed script. It is not random drift. It is a process of generated continuation under learned constraint - a movement through possibilities shaped by the body, environment, memory, attention, reward, relationship, language, social pressure, and repeated experience.In How the Mind Lives, Donglin Liang extends the framework of Persistent Coherent Agency into the developmental conditions of mind. The book explores how body and environment shape what a person can notice, tolerate, sustain, revise, and carry forward. It asks how the field of possible continuation is formed over time, and why some patterns become flexible while others become narrowed, overloaded, rigid, repetitive, or difficult to escape.This perspective offers a new way to understand common difficulty patterns such as ADHD, autism, OCD, and anxiety. Rather than treating them only as symptom clusters, Liang examines them as distinctive organizations of trajectory governance: different ways the mind handles salience, uncertainty, persistence, sensory load, closure, flexibility, evaluation, and self-continuity.The book also speaks to a new developmental reality. Children now grow up in environments shaped by social media, digital comparison, emotional contagion, extreme views, and generative AI. These technologies do not merely provide tools or information. They shape attention, reward, imagination, belief, social expectation, and self-relation.At the intersection of generative AI, psychology, embodiment, development, and mental health, How the Mind Lives offers a bold and original account of how minds are formed - and what conditions allow coherent continuation to remain possible. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…