Trending on TikTok

Buldak

Sunscreen

Sanrio

English

{{sellerTotalView > 1 ? __("sellers", {number: sellerTotalView}) : __("seller", {number: sellerTotalView}) }}, {{numTotalView > 1 ? __("items", {number: numTotalView}) : __("item", {number: numTotalView}) }}

View Cart & Check Out

Nickname

Let us know how to properly address you.

Update Your Name

xxxxxxx@yamibuy.com

Account Orders Favorites

Points 0

Coupons 0

Gift Card Balance $0.00

Sign Out

Change Your Zip Code

Inventory information and delivery speeds may vary for different locations.

Location History

We will notify you by email when the item back in stock.

Your email: {{remindEmail}}

Cancel

Jingdong book

人工智能：复杂问题求解的结构和策略（英文版）（第6版）

View Cart & Check Out

{{buttonTypePin == 3 ? __("Scan to view more PinGo") : __("Scan to start")}}

Books Computers & Internet Artificial Intelligence

Jingdong book

人工智能：复杂问题求解的结构和策略（英文版）（第6版）

Name: 人工智能：复杂问题求解的结构和策略（英文版）（第6版）
Brand: Jingdong book
SKU: 3118068091
Price: 43.49 USD
Availability: OutOfStock

{{__(":people-members", {'people': item.limit_people_count})}} {{ itemCurrency }}{{ item.valid_price }} {{ itemCurrency }}{{ item.invalid_price }} {{ itemDiscount }}

Ends in

{{ itemCurrency }}{{ priceFormat(item.valid_price / item.bundle_specification) }}/{{ item.unit }}

{{ itemCurrency }}{{ item.valid_price }} {{ itemCurrency }}{{ priceFormat(item.valid_price / item.bundle_specification) }}/{{ item.unit }} {{ itemCurrency }}{{ item.invalid_price }} {{itemDiscount}}

Sale ends in

Sale will starts after Sale ends in

{{ __( "Pay with Gift Card to get sale price: :itemCurrency:price", { 'itemCurrency' : itemCurrency, 'price' : (item.giftcard_price ? priceFormat(item.giftcard_price) : '0.00') } ) }} ({{ itemCurrency }}{{ priceFormat(item.giftcard_price / item.bundle_specification) }}/{{ item.unit }}) Details

Best before

Currently unavailable.

We don't know when or if this item will be back in stock.

Unavailable in your area.

Sold Out

Details

Full product details

Editer Recommend

《人工智能：复杂问题求解的结构和策略（英文版）（第6版）》是一本经典的人工智能教材，全面阐述了人工智能的基础理论，有效结合了求解智能问题的数据结构以及实现的算法，把人工智能的应用程序应用于实际环境中，并从社会和哲学、心理学以及神经生理学角度对人工智能进行了独特的讨论。《人工智能：复杂问题求解的结构和策略（英文版）（第6版）》新增内容新增一章，介绍用于机器学习的随机方法，包括一阶贝叶斯网络、各种隐马尔可夫模型，马尔可夫随机域推理和循环信念传播。
介绍针对期望最大化学习以及利用马尔可夫链蒙特卡罗采样的结构化学习的参数选择，加强学习中马尔可夫决策过程的利用。
介绍智能体技术和本体的使用。
介绍自然语言处理的动态规划（Earley语法析器），以及Viterbi等其他概率语法分析技术。
书中的许多算法采用Prolog．Lisp和Java语言来构建。

Content Description

《人工智能：复杂问题求解的结构和策略（英文版）（第6版）》英文影印版由PearsonEducationAsiaLtd授权机械工业出版社独家出版。未经出版者书面许可，不得以任何方式复制或抄袭《人工智能：复杂问题求解的结构和策略（英文版）（第6版）》内容。
仅限于中华人民共和国境内（不包括中国香港、澳门特别行政区和中国台湾地区）销售发行。
《人工智能：复杂问题求解的结构和策略（英文版）（第6版）》封面贴有PearsonEducation（培生教育出版集团）激光防伪标签，无标签者不得销售。

Author Description

George F.Luger 1973年在宾夕法尼亚大学获得博士学位，并在之后的5年间在爱丁堡大学人工智能系进行博士后研究，现在是新墨西哥大学计算机科学研究、语言学及心理学教授。

Comments

“在该领域里学生经常遇到许罗很难的概念，通过深刻的实例与简单明了的祝圈，该书清晰而准确垲阚述了这些概念。”
——Toseph Lewis，圣迭戈州立大学
“本书是人工智能课程的完美补充。它既给读者以历史的现点，又给幽所有莰术的宾用指南。这是一本必须要推荐的人工智能的田书。”
——-Pascal Rebreyend，瑞典达拉那大学
“该书的写作风格和全面的论述使它成为人工智能领域很有价值的文献。”
——Malachy Eaton，利默里克大学

Catalogue

Preface
Publishers Acknowledgements
PART Ⅰ ARTIFIClAL INTELLIGENCE：ITS ROOTS AND SCOPE
1 A1：HISTORY AND APPLICATIONS
1.1 From Eden to ENIAC：Attitudes toward Intelligence，Knowledge，andHuman Artifice
1.2 0verview ofAl Application Areas
1.3 Artificial Intelligence A Summary
1.4 Epilogue and References
1.5 Exercises

PART Ⅱ ARTIFlClAL INTELLIGENCE AS REPRESENTATION AN D SEARCH
2 THE PREDICATE CALCULUS
2.0 Intr0血ction
2.1 The Propositional Calculus
2.2 The Predicate Calculus
2.3 Using Inference Rules to Produce Predicate Calculus Expressions
2.4 Application：A Logic-Based Financial Advisor
2.5 Epilogue and References
2.6 Exercises

3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
3.0 Introducfion
3.1 GraphTheory
3.2 Strategies for State Space Search
3.3 using the state Space to Represent Reasoning with the Predicate Calculus
3.4 Epilogue and References
3.5 Exercises

4 HEURISTIC SEARCH
4.0 Introduction
4.l Hill Climbing and Dynamic Programmin9
4.2 The Best-First Search Algorithm
4.3 Admissibility,Monotonicity,and Informedness
4.4 Using Heuristics in Games
4.5 Complexity Issues
4.6 Epilogue and References
4.7 Exercises

5 STOCHASTIC METHODS
5.0 Introduction
5.1 The Elements ofCountin9
5.2 Elements ofProbabilityTheory
5.3 Applications ofthe Stochastic Methodology
5.4 BayesTheorem
5.5 Epilogue and References
5.6 Exercises

6 coNTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
6.0 Introduction l93
6.1 Recursion.Based Search
6.2 Production Systems
6.3 The Blackboard Architecture for Problem Solvin9
6.4 Epilogue and References
6.5 Exercises

PARTⅢ CAPTURING INTELLIGENCE：THE AI CHALLENGE
7 KNOWLEDGE REPRESENTATION
7.0 Issues in Knowledge Representation
7.1 A BriefHistory ofAI Representational Systems
7.2 Conceptual Graphs：A Network Language
7.3 Alternative Representations and Ontologies
7.4 Agent Based and Distributed Problem Solving
7.5 Epilogue and References
7.6 Exercises

8 STRONG METHOD PROBLEM SOLVING
8.0 Introduction
8.1 Overview ofExpert Sygem Technology
8.2 Rule.Based Expert Sygems
8.3 Model-Based,Case Based and Hybrid Systems
8.4 Planning
8.5 Epilogue and References
8.6 Exercises
9 REASONING IN UNCERTAIN STUATIONS
9.0 Introduction
9.1 Logic-Based Abductive Inference
9.2 Abduction：Alternatives to Logic
9.3 The Stochastic Approach to Uncertainty
9.4 Epilogue and References
9.5 Exercises

PART Ⅳ
MACHINE LEARNING
10 MACHINE LEARNING：SYMBOL-BASED
10.0 Introduction
10.1 A Framework for Symbol based Learning
10.2 version Space Search
10.3 The ID3 Decision Tree Induction Algorithm
10.4 Inductive Bias and Learnability
10.5 Knowledge and Learning
10.6 Unsupervised Learning
10.7 Reinforcement Learning
10.8 Epilogue and Referenees
10.9 Exercises

11 MACHINE LEARNING：CONNECTIONtST
11.0 Introduction
11.1 Foundations for Connectionist Networks
11.2 Perceptron Learning
11.3 Backpropagation Learning
11.4 Competitive Learning
11.5 Hebbian Coincidence Learning
11.6 Attractor Networks or“Memories”
11.7 Epilogue and References
11.8 Exercises 506

12 MACHINE LEARNING：GENETIC AND EMERGENT
12.0 Genetic and Emergent MedeIs ofLearning
12.1 11Ic Genetic Algorithm
12.2 Classifier Systems and Genetic Programming
12.3 Artmcial Life and Society-Based Learning
12.4 EpilogueandReferences
12.5 Exercises

13 MACHINE LEARNING：PROBABILISTIC
13.0 Stochastic andDynamicModelsofLearning
13.1 Hidden Markov Models(HMMs)
13.2 DynamicBayesianNetworksandLearning
13.3 Stochastic Extensions to Reinforcement Learning
13.4 EpilogueandReferences
13.5 Exercises

PART Ⅴ
AD，ANCED TOPlCS FOR Al PROBLEM SOLVING
14 AUTOMATED REASONING
14.0 Introduction to Weak Methods inTheorem Proving
14.1 TIIeGeneralProblem SolverandDifiel"enceTables
14.2 Resolution TheOrem Proving
14.3 PROLOG and Automated Reasoning
14.4 Further Issues in Automated Reasoning
14.5 EpilogueandReferences
14.6 Exercises

15 UNDERs-rANDING NATURAL LANGUAGE
15.0 TheNaturalLang~~geUnderstandingProblem
15.1 Deconstructing Language：An Analysis
15.2 Syntax
15.3 TransitionNetworkParsers and Semantics
15.4 StochasticTools forLanguage Understanding
15.5 Natural LanguageApplications
15.6 Epilogue and References
15.7 Exercises
……
PART Ⅵ EPILOGUE
16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY

Book Abstract

postconditions of each action are in.the column below it. For example， row 5 lists the pre-conditions for pickup（X） and Column 6 lists the postconditions （the add and delete lists） ofpickup（X）. These postconditions are placed in the row of the action that uses them as pre-conditions, organizing them in a manner relevant to further actions. The triangle tablespurpose is to properly interleave the preconditions and postconditions of each of thesmaller actions that make up the larger goal. Thus, triangle tables address non-linearityissues in planning on the macro operator level; Partial-Order Planners （Russell and Norvig1995） and other approaches have further addressed these issues.
One advantage of triangle tables is the assistance they can offer in attempting torecover from unexpected happenings, such as a block being slightly out of place, or acci-dents, such as dropping a block. Often an accident can require backing up several stepsbefore the plan can be resumed. When something goes wrong with a solution the plannercan go back into the rows and columns of the triangle table to check what is true. Once theplanner has figured out what is still true within the rows and columns, it then knows whatthe next step must be if the larger solution is to be restarted. This is formalized with thenotion of a kernel.
The nth kernel is the intersection of all rows below and including the nth row and allcolumns to the left of and including the rtth column. In Figure 8.21 we have outlined thethird kernel in bold. In carrying out a plan represented in a triangle table, the ith operation（that is, the operation in row i） may be performed only if all predicates contained in the ithkernel aretrue. This offers a straightforward way of verifying that a step can be taken andalso supports systematic recovery from any disruption of the plan. Given a triangle table,we find and execute the highest-numbered action whose kernel is enabled.

Introduction

I was very pleased to be asked to produce the sixth edition of my artificial intelligencebook. It is a compliment to the earlier editions， started over twenty years ago, that ourapproach to AI has been so highly valued. It is also exciting that, as new development inthe field emerges, we are able to present much of it in each new edition. We thank ourmany readers, colleagues, and students for keeping our topics relevant and our presenta-tion up to date.
Many sections of the earlier editions have endured remarkably well, including thepresentation of logic, search algorithms, knowledge representation, production systems,machine learning, and, in the supplementary materials, the programming techniquesdeveloped in Lisp, Prolog, and with this edition, Java. These remain central to the practiceof artificial intelligence, and a constant in this new edition.
This book remains accessible. We introduce key representation techniques includinglogic, semantic and connectionist networks, graphical models, and many more. Our searchalgorithms are presented clearly, first in pseudocode, and then in the supplementary mate-rials, many of them are implemented in Prolog, Lisp, and/or Java. It is expected that themotivated students can take our core implementations and extend them to new excitingapplications.
We created, for the sixth edition, a new machine learning chapter based on stochasticmethods （Chapter 13）. We feel that the stochastic technology is having an increasinglylarger impact on AI, especially in areas such as diagnostic and prognostic reasoning, natu-ral language analysis, robotics, and machine learning.

Specifications

Brand

Jingdong book

Brand Origin

China

Disclaimer

Product packaging, specifications and price are subject to change without notice. All information about the products on our website is provided for information purposes only. Please always read labels, warnings and directions provided with the product before use.

View Full Terms of Use

Scan to Share

Add to favorites

{{ $isZh ? coupon.coupon_name_sub : coupon.coupon_ename_sub | formatCurrency }}

Clip coupons

Quantity

{{buttonTypePin == 3 ? __("Scan to view more PinGo") : __("Scan to start")}}

Sold by JD@CHINA

Ship to

Free shipping over 69

Genuine guarantee

View details

Region

Added to Cart

Keep Shopping

More to Consider

Coupons

Clip Clipped Over

Expires soon {{ formatTime(coupon.use_end_time) }}

Share this item with friends

Cancel

Yami Gift Card

Get this exclusive deal when paying with gift card

Terms and Conditions

Gift card deals are special offers for selected products;

The gift card deals will automatically be activated if a customer uses gift card balance at check out and the balance is sufficient to pay for the total price of the shopping cart products with gift card deals;

You will not be able to activate the gift card deals if you choose other payment methods besides gift card. The products will be purchased at their normal prices;

If your account balance is not enough to pay for the products with gift card deals, you can choose to reload your gift card balance by clicking on the Reload button at either shopping cart page or check out page;

Products that have gift card deals can be recognized by a special symbol showing 'GC Deal';

For any additional questions or concerns, please contact our customer service;

Yamibuy reserves the right of final interpretation.

Sold by Yami

Service Guarantee

Free Shipping over $49

Easy Returns

Ships from United States

Shipping

United States

Standard Shipping is $5.99 (Excluding Alaska & Hawaii). Free on orders of $49 or more.

Local Express is $5.99 (Available in Parts of CA, NJ, MA & PA). Free on orders of $49 or more.

2-Day Express (Includes Alaska & Hawaii) starts at $19.99.

Return Policy

Yami is committed to provide our customers with a peace of mind when purchasing from us. Most items shipped from Yamibuy.com can be returned within 30 days of receipt of shipment (For Food, Beverages, Snacks, Dry Goods, Health supplements, Fresh Grocery and Perishables Goods, within 7 days of receipt of shipment due to damages or quality issues; To ensure that every customer receives safe and high-quality products, we do not provide refunds or returns for beauty products once they have been opened or used, except in the case of quality issues; Some products may have different policies or requirements associated with them, please see below for products under special categories, or contact Yami Customer Service for further assistance).
Thank you for your understanding and support.

Learn More

Sold by Yami

Terms and Conditions of Yami E-Gift Card

If you choose “Redeem automatically” as your delivery method, your gift card balance will be reload automatically after your order has been processed successfully;

If you choose “Send to Email”as your delivery method, the card number and CVV will be sent to the email address automatically;

Any user can use the card number and CVV to redeem the gift card, please keep your gift card information safely. If you have any trouble receiving email, please contact Yami customer service;

Yami gift card can be used to purchase both Yami owned or Marketplace products;

Yami gift card will never expire;

Yami gift card balance does not have to be used up at once;

Return Policy

Gift card that has already been consumed is non-refundable.

Sold by JD@CHINA

Fulfilled by Yami

Service Guarantee

Free Shipping over $49

Easy Returns

Ships from United States

Shipping

United States

Standard Shipping is $5.99 (Excluding Alaska & Hawaii). Free on orders of $49 or more.

Local Express is $5.99 (Available in Parts of CA, NJ, MA & PA). Free on orders of $49 or more.

2-Day Express (Includes Alaska & Hawaii) starts at $19.99.

Return Policy

You may return product within 30 days upon receiving the product. Items returned must be new in it's original packing, including the original invoice for the purchase. Customer return product at their own expense.

Sold by JD@CHINA

Yami-China FC

Service Guarantee

Cross-store Free Shipping over $69

30-days Return

Yami-China FC

Yami has a consolidation warehouse in China which collects multiple sellers’ packages and combines to one order. Our Yami consolidation warehouse will directly ship the packages to your door. Cross-store free shipping over $69.

Return Policy

You may return products within 30 days upon receiving the products. Sellers take responsibilities for any wrong shipment or missing items. Packing needs to be unopened for any other than quality issues return. We promise to pack carefully, but because goods are taking long journey to destinations, simple damages to packaging may occur. Any damages not causing internal goods quality problems are not allowed to return. If you open the package and any quality problem is found, please contact customer service within three days after receipt of goods.

Shipping Information

Yami Consolidation Service Shipping Fee $9.99(Free shipping over $69)

Sellers in China will ship their orders within 1-2 business days once the order is placed. Packages are sent to our consolidation warehouse in China and combined there. Our Yami consolidation warehouse will directly ship the packages to you via UPS. The average time for UPS to ship from China to the United States is about 10 working days and it can be traced using the tracking number. Due to the pandemic, the delivery time may be delayed by about 5 days. The package needs to be signed by the guest. If the receipt is not signed, the customer shall bear the risk of loss of the package.

Sold by JD@CHINA

Service Guarantee

Free shipping over 69

Genuine guarantee

Shipping

Yami Consolidated Shipping $9.99(Free shipping over $69)

Seller will ship the orders within 1-2 business days. The logistics time limit is expected to be 7-15 working days. In case of customs clearance, the delivery time will be extended by 3-7 days. The final receipt date is subject to the information of the postal company.

Yami Points information

All items are excluding from any promotion or points events on Yamibuy.com

Return Policy

Download the Yami App

Feedback

Back Top

Reviews{{'('+ commentList.posts_count + ')'}}

Have your say. Be the first to help other guests.

Write a review

{{i}} star

{{i}} stars

{{ parseInt(commentRatingList[i]) }}%

{{ showTranslate(comment) }}Show Less

{{ strLimit(comment,800) }}Show more

Show Original

Show All

{{ formatTime(comment.in_dtm) }} VERIFIED PURCHASE {{groupData}}

{{ comment.likes_count }} {{ comment.likes_count }} {{ comment.reply_count }} {{comment.in_user==uid ? __('Delete') : __('Report')}}

{{ showTranslate(comment) }}Show Less

{{ strLimit(comment,800) }}Show more

Show Original

Show All

{{ formatTime(comment.in_dtm) }} VERIFIED PURCHASE {{groupData}}

{{ comment.likes_count }} {{ comment.likes_count }} {{ comment.reply_count }} {{comment.in_user==uid ? __('Delete') : __('Report')}}

No related comment~

Load more reviews

Review

{{ showTranslate(commentDetails) }}Show Less

{{ strLimit(commentDetails,800) }}Show more

Show Original

Show All

{{ formatTime(commentDetails.in_dtm) }} VERIFIED PURCHASE {{groupData}}

Please write at least one word

Comments{{'(' + replyList.length + ')'}}