Sussman Anomaly: Fundamentals and Applications

· Artificial Intelligence 251권 · One Billion Knowledgeable
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What Is Sussman Anomaly

The Sussman anomaly is an issue in artificial intelligence that was first documented by Gerald Sussman. It shows a weakness of noninterleaved planning algorithms, which were popular in the early 1970s. Sussman was the first person to describe the Sussman anomaly. The vast majority of today's planning systems are not limited to noninterleaved planning, and as a result, they are able to deal with this oddity. Even though the relevance and worth of the problem have long since passed into the realm of history, it is nevertheless helpful in elucidating why planning is not an easy task. In the scenario, there are three blocks lying flat on the table. The agent is responsible for stacking the blocks in such a way that A is on top of B, which is on top of C, and so on. On the other hand, it can only move a single block at a time. The issue begins with B being placed on the table, C being placed over A, and A being placed on the table:


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Sussman anomaly


Chapter 2: Actor model


Chapter 3: Planning Domain Definition Language


Chapter 4: Automated planning and scheduling


Chapter 5: Automated planning and scheduling


Chapter 6: Greedy algorithm


Chapter 7: Action description language


Chapter 8: Stanford Research Institute Problem Solver


Chapter 9: Hierarchical control system


Chapter 10: Hierarchical task network


(II) Answering the public top questions about sussman anomaly.


(III) Real world examples for the usage of sussman anomaly in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of sussman anomaly' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of sussman anomaly.

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