[Knowledge-based AI] {ud409} Lesson 21: 21 - Configuration

Exercise: Designing a Basement

Defining Configuration

The Configuration Process

left top: task

right bottom: solution

task v1 --- Configuration Space ---> solution v1 (search solution)

solution v1 takes too long

solution v1 --- Configuration Space ---> task v2 (refine task specification)

Example: Representing a Chair

Example: Ranges of Values

Example: Applying a Constraint

Connection to Classification

Contrast with Case-Based Reasoning

Connection to Planning

原文地址:https://www.cnblogs.com/ecoflex/p/10987304.html

时间: 2024-10-09 00:03:44

[Knowledge-based AI] {ud409} Lesson 21: 21 - Configuration的相关文章

[Knowledge-based AI] {ud409} Lesson 2: 02 - Introduction to CS7637

Optional Readings : Putting Online Learning and Learning Sciences Togetherhttps://www.youtube.com/watch?v=N56ghCGmWWQ Understanding the Natural and Artificial Worldshttp://courses.washington.edu/thesisd/documents/Kun_Herbert%20Simon_Sciences_of_the_A

[Knowledge-based AI] {ud409} Lesson 24: 24 - Meta-Reasoning

Mistakes in Reasoning and Learning Beyond Mistakes: Knowledge Gaps The Blurred Line Between Cognition and Metacognition Strategy Selection Strategy Integration Optional Reading: Metacognition in Computation: A selected research review by Michael T. C

[Knowledge-based AI] {ud409} Lesson 26: 26 - Wrap-Up

represent => reason => represent =>.... data => knowledge => data > ...... Current Research 原文地址:https://www.cnblogs.com/ecoflex/p/10987521.html

[Knowledge-based AI] {ud409} Lesson 12: 12 - Logic

Why do we need formal logic? Inferences About Birds Winston Chapter 13: Page 284 Exercise: Inferences About Foos Predicates Conjunctions and Disjunctions Implies Notation Equivalency Truth Tables 原文地址:https://www.cnblogs.com/ecoflex/p/10982993.html

[Knowledge-based AI] {ud409} Lesson 13: 13 - Planning

Block Problem Revisited Painting a Ceiling States Optional Reading: Winston Chapter 15, pages 323-336 Operators Planning and State Spaces plan: Planning Partial Planning Detecting Conflicts Open Preconditions Hierarchical Task Network Planning Hierar

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

Optional reading: Winston Chapter 20 Incremental Concept Learning Revisited Abstract Version Spaces Visualizing Version Spaces converge model is thre representation of the world Example Food Allergies I Identification Trees decision tree learning Opt

[Knowledge-based AI] {ud409} Lesson 22: 22 - Diagnosis

Optional reading: Stefik, Chapter 9 diagnose as classification and abduction Exercise: Diagnosing Illness Defining Diagnosis Problems with Diagnosis as Classification Deduction, Induction, Abduction Optional Reading: Stefik, Diagnosis and Troubleshoo

[Knowledge-based AI] {ud409} Lesson 23: 23 - Learning by Correcting Mistakes

Optional Readings : Winston Chapter 18 http://courses.csail.mit.edu/6.034f/ai3/rest.pdf Questions for Correcting Mistakes Visualizing Error Detection Error Detection Algorithm Explanation-Free Repair Explaining the Mistake Correcting the Mistake Conn

libeXosip2(2-1) -- eXosip2 configuration API

eXosip2 configuration API General purpose API. Data Structures struct   eXosip_dns_cache struct   eXosip_tls_credentials_s struct   eXosip_tls_ctx_s Macros #define  EXOSIP_OPT_UDP_KEEP_ALIVE   (EXOSIP_OPT_BASE_OPTION+1) #define  EXOSIP_OPT_UDP_LEARN_