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Means-Ends Analysis in AI
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technolo... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 4 Pages |
| File Size | 111.9 KB |
| Views | 1920 |
| Downloads | 0 |
| Price: |
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Description
Buy "Means-Ends Analysis in AI" now and learn how to solve complex and large problems with a mixture of forward and backward reasoning techniques. This comprehensive book introduces the concept of Means-Ends Analysis (MEA), a problem-solving strategy that limits search in AI programs by first solving major parts of a problem and then addressing smaller subproblems as they arise. With practical examples and detailed explanations, you'll explore how MEA works by evaluating differences between the current state and goal state, and applying operators to reduce these differences, making it accessible to both beginners and seasoned professionals.
Dive into the fascinating world of Operator Subgoaling, where operators are selected, and subgoals are set up to establish the preconditions for solving a problem. The book covers the essential algorithm for MEA and provides real-world examples to illustrate its application in various AI-driven tasks. "Means-Ends Analysis in AI" is an essential read for anyone looking to deepen their understanding of AI's problem-solving techniques and apply these methods to tackle real-world challenges effectively.
Below is the document preview.
Introduction to advanced database
An Introduction to Advanced Databases typically covers a range of advanced topics related to the design, management, and optimization of large and complex database systems. The focus is often on systems that go beyond basic relational databases, delving into areas that involve performance optimization, data integrity, distributed systems, and advanced querying techniques.
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Database Architecture
Database architecture refers to the structure and organization of a database system, defining how data is stored, processed, and accessed within a database management system (DBMS). It provides a blueprint for both the physical and logical aspects of a database, ensuring that data is stored efficiently and can be retrieved, updated, and managed effectively. The architecture typically involves several layers and components, each playing a specific role in the overall functioning of the system.
1980 Views
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Database Design
Database design is the process of creating a detailed blueprint for a database, focusing on its structure, relationships, and constraints. The goal of database design is to ensure that the database efficiently stores, organizes, and retrieves data while maintaining data integrity, security, and performance. A well-designed database is crucial for meeting the needs of its users and applications, ensuring scalability, and providing a reliable system for managing data.
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The ANSI-SPARCArchitectureDBMS
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The architecture of most commercial DBMSs is based on the ANSI-SPARC architecture (1975). Itwasdevised by American National Standards Institute (ANSI) and Standards Planning AndRequirementsCommittee (SPARC). The ANSI-SPARC model of a database identifies three distinct levels atwhichdata items can be described. These levels form a three-level architecture comprising of an external level,aconceptual level, and an internallevel
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Data models
Data models describe how data is structured, organized, and managed in a database or system. They define the relationships, constraints, and operations on the data.
12 Pages
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Query Processing and Optimization
Query Processing and Optimization are critical components in database management systems (DBMS) to ensure efficient data retrieval, transformation, and storage. They focus on translating, executing, and improving the performance of user queries.
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Introduction to Database systems.
A database system is an organized collection of data and a set of programs used to manage and access that data efficiently. It serves as a foundation for storing, retrieving, and manipulating information in a structured manner. Database systems are integral to applications ranging from simple inventory tracking to complex enterprise resource planning.
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Transaction Management & concurrency control 1
Transaction Management and Concurrency Control are essential components of a database management system (DBMS) that ensure data consistency, integrity, and performance when multiple users or processes access the database simultaneously.
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Database Management System
A Database Management System (DBMS) is software designed to store, manage, and retrieve data efficiently in a structured manner. It serves as an interface between users and databases, allowing for data organization, retrieval, modification, and management without requiring users to understand the complexities of database structures.
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Database Recovery Techniques
Database recovery techniques are methods used to restore a database to a consistent state after a failure. Failures can be caused by hardware issues, software bugs, or user errors. The primary goal of these techniques is to ensure data integrity and minimize data loss.
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559.49 KB