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Logic in AI,[object Object]
A Knowledge Based Agent,[object Object],These are Agents That Reason Logically,[object Object],The central component of a knowledge-based agent is its knowledge base, a knowledge base is a set of representations of facts about the world.,[object Object]
Description of knowledge-based agent,[object Object],The knowledge level or epistemological level is the most abstract. If TELL and ASK work correctly, then most of the time we can work at the knowledge level and not worry about lower levels.,[object Object],The logical level is the level at which the knowledge is encoded into sentences. ,[object Object],The implementation level is the level that runs on the agent architecture. By a complex set of pointers connecting machine addresses corresponding to the individual symbols,[object Object]
What are Inference in computers?,[object Object],Logics : consists of syntax, symantecs and proof theory.,[object Object],Propositional logic, symbols represent whole propositions (facts).,[object Object],Ontological commitments have to do with the nature of reality,[object Object],Temporal logic assumes that the world is ordered by a set of time points or intervals, and includes built-in mechanisms for reasoning about time.,[object Object],fuzzy logic can have degrees of belief in a sentence, and also allow degrees of truth:a fact need not be true or false in the world, but can be true to a certain degree.,[object Object]
First Order Logic,[object Object],First-order logic makes a stronger set of ontological commitments.,[object Object], The main one is that the world consists of objects, that is, things with individual identities and properties that distinguish them from other objects.,[object Object], Among these objects, various relations hold. Some.,[object Object],Of these relations are functions - relations in which there is only one "value" for a given "input.",[object Object]
Examples of objects, properties, relations, and functions:,[object Object],Objects: people, houses, numbers, theories, Ronald McDonald, colors, baseball games, wars, centuries . . .Relations: brother of, bigger than, inside, part of, has color, occurred after, owns . . .Properties: red, round, bogus, prime, multistoried...Functions: father of, best friend, third inning of, one more than ...,[object Object]
Higher-order logic,[object Object],Higher-order logic allows us to quantify over relations and functions as well as over objects. For example, in higher-order logic we, can say that two objects are equal if and only if all propertiesapplied to them are equivalent:Vx, y (x = y) & (Vp p(x) O p(y)) ........,[object Object],(V stands "for every"),[object Object]
A Simple Reflex Agent,[object Object],The simplest possible kind of agent has rules directly connecting percepts to actions.,[object Object], These rules resemble reflexes or instincts. ,[object Object],For example, if the agent sees a glitter, it should do a grab in order to pick up the gold.,[object Object]
Limitations of simple reflex agents,[object Object],Consider climb problem: A pure reflex agent cannot know for sure when to Climb, because neither having the goal nor being in the start is part of the percept; they are things the agent knows by forming a representation of the world.,[object Object],Reflex agents are also unable to avoid infinite loops,[object Object]
Goal based agent,[object Object],The presence of an explicit goal allows the agent to work out a sequence of actions that will achieve the goal. There are at least three ways to find such a sequence:,[object Object],Inference: It is not hard to write axioms that will allow us to ASK the KB for a sequence of actions that is guaranteed to achieve the goal safely.,[object Object],Search: We can use a best-first search procedure to find a path to the goal.,[object Object],Planning: This involves the use of special-purpose reasoning systems designed to reason about actions.,[object Object]
What is Knowledge engineering?,[object Object],The knowledge engineer must understand enough about the domain in question to represent the important objects and relationships, representation language, implementation of the inference procedure.,[object Object]
Knowledge engineering versus programming,[object Object]
Steps in development of a knowledge base,[object Object],    1) Decide what to talk about.2) Decide on a vocabulary of predicates, functions, and constants.3) Encode general knowledge about the domain.4) Encode a description of the specific problem instance.5) Pose queries to the inference procedure and get answers.,[object Object]
General Ontology,[object Object],Characteristics of general-purpose ontology :,[object Object],1) A general-purpose ontology should be applicable in more or less any special-purposedomain (with the addition of domain-specific axioms).,[object Object],2) In any sufficiently demanding domain, different areas of knowledge must be unified because reasoning and problem solving may involve several areas simultaneously.,[object Object]
Different Logical Reasoning Systems,[object Object],Four main categories of logic systems:,[object Object],Theorem provers and logic programming languages,[object Object],Production systems,[object Object],Frame systems and semantic networks,[object Object],Description logic systems,[object Object]
Table-based indexing,[object Object],The keys to the table will be predicate symbols, and the value stored under each key will have four components:,[object Object],A list of positive literals for that predicate symbol.,[object Object],A list of negative literals.,[object Object],A list of sentences in which the predicate is in the conclusion.,[object Object],A list of sentences in which the predicate is in the premise.,[object Object]
Tree-based indexing,[object Object],Tree-based indexing is one form of combined indexing, in that it essentially makes a combined key out of the sequence of predicate and argument symbols in the query. ,[object Object],The cross-indexing strategy indexes entries in several places, and when faced with a query chooses the most promising place for retrieval.,[object Object]
Logic Programming Systems,[object Object],Logic programming tries to extend these advantages to all programming tasks. ,[object Object],Any computation can be viewed as a process of making explicit the consequences of choosing a particular program for a particular machine and providing particular inputs,[object Object],          Algorithm = Logic + Control,[object Object]
Description Logics,[object Object],The principal inference tasks are,[object Object], subsumption :: checking if one category is a subset of another based on their definitions and ,[object Object],classification :: checking if an object belongs to a category.,[object Object]
Visit more self help tutorials,[object Object],Pick a tutorial of your choice and browse through it at your own pace.,[object Object],The tutorials section is free, self-guiding and will not involve any additional support.,[object Object],Visit us at www.dataminingtools.net,[object Object]

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AI: Logic in AI

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