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https://cloud.google.com/dialogflow/es/docs/entities-overview
Prolog
You will develop your recipe recommendation agent using MARBEL and SWI Prolog. The MARBEL agent implements a dialog management engine that you will use. You do not need to change this agent. You are, however, allowed to modify it if you like. The focus will be mostly on using Prolog to provide the agent with the knowledge it needs and to make it smarter by providing it with some logic related to its recipe recommendation task.
Prolog is a rule-based programming language focused based on symbolic and logic-based computation. It 's is commonly used in artificial intelligence and computational linguisticsArtificial Intelligence and Computational Linguistics. To understand Prolog thoroughly, one should familiarize oneself you should have familiarized yourself with its key concepts and structures , as outlined in using the book "https://www.let.rug.nl/bos/lpn//lpnpage.php?pageid=online " by Patrick Blackburn, Johan Bos, and Kristina Striegnitz. This book covers fundamental topics like facts, rules, queries, unification, proof search, recursion, lists, arithmetic, definite clause grammars, and more. It also delves into more advanced topics such as cuts , negation, database manipulation, and working with files, providing a comprehensive overview of Prolog's capabilities and applicationsand negation. We briefly summarize here some of the core concepts for your convenience.
Logic-Based Programming: Prolog is fundamentally different from procedural languages like C or Python. It 's is based on formal logic, making it well-suited for tasks that involve rules and constraints, such as solving puzzles or processing natural language.
Facts, Rules, and RulesRecursion: The core of Prolog programming involves defining facts and rules. Facts state are basic assertions statements about objects and/or their relationships. Rules define relationships , while rules define the logic and conditions under which certain statements are true.
Backtracking and Recursion: Prolog uses backtracking to find solutions to problems. If a potential solution fails at some step, Prolog automatically backtracks to try different options. Recursion is also a prevalent concept, used for iterating over data structures like lists.
between facts using basic logical relations such as conjunction, disjunction, and negation. The fact that rules can be recursive is what gives Prolog its power as a programming language. Recursion can be used, for example, for iterating over frequently used data structures in Prolog such as lists.
Lists and Arithmetic: Lists are fundamental data structures in Prolog. Prolog offers a range of built-in predicates for list manipulation. It also provides built-in support for arithmetic operations. Because Prolog’s basic form of computation is based on term matching, which does not support efficiently doing math, care must be taken to use the right operators when handling numbers in Prolog.
Pattern Matching and Unification: Prolog excels at pattern matching, where data structures are matched against patterns to extract information or verify conditions. Unification is a fundamental process in Prolog, used to make different terms identical through appropriate substitutions.
Backtracking: Prolog uses backtracking to find solutions to problems. If a potential solution fails at some step, Prolog automatically backtracks to try different options.
Definite Clause Grammars (DCGs): These are used in Prolog for parsing and generating natural language constructs, making it a powerful tool for language-related applications.Lists and Arithmetic: Prolog treats lists as fundamental data structures, and offers a range of built-in predicates for list manipulation. It also supports arithmetic operations, but in a way that's distinct from traditional programming languages.
Advanced Features: Prolog provides advanced features like cuts (which control the backtracking process) and negation, along with capabilities for database manipulation and file handling, making it versatile for various complex applications.
Applications: Prolog is widely used in AI for tasks such as expert systems, natural language processing, and theorem proving, owing to its ability to handle complex symbolic information and logical constructs efficiently.
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