Logic and artificial intelligence - Stanford Artificial Intelligence
... to a large extent, be context free. That is, the meaning of the sentences expressing the knowledge should depend on the sentences themselves and not on the external context in which the machine finds itself. The context-free requirement would rule out terms such as "here" and "now" whose meaning dep ...
... to a large extent, be context free. That is, the meaning of the sentences expressing the knowledge should depend on the sentences themselves and not on the external context in which the machine finds itself. The context-free requirement would rule out terms such as "here" and "now" whose meaning dep ...
Production Rules as a Representation for a Knowledge
... Two recent trends in artificial intelligence research have been applications of AI to "real-world" problems, and the incorporation in programs of large amounts of task-specific knowledge. The former is motivated in part by the belief that artificial problems may prove in the long run to be more a di ...
... Two recent trends in artificial intelligence research have been applications of AI to "real-world" problems, and the incorporation in programs of large amounts of task-specific knowledge. The former is motivated in part by the belief that artificial problems may prove in the long run to be more a di ...
Artificial intelligence - University of London International Programmes
... Most work in AI focuses on smaller components thought to be necessary for producing intelligent programs. The major subfields, some of which will be considered in the following chapters, are: 1. Problem solving, where an agent is given a problem setting and a goal and must determine how to realize t ...
... Most work in AI focuses on smaller components thought to be necessary for producing intelligent programs. The major subfields, some of which will be considered in the following chapters, are: 1. Problem solving, where an agent is given a problem setting and a goal and must determine how to realize t ...
What is a Knowledge Representation
... These commitments and their focusing/blurring effect are not an incidental side effect of a representation choice; they are of the essence: a KR is a set of ontological commitments. It is unavoidably so because of the inevitable imperfections of representations. It is usefully so because judicious ...
... These commitments and their focusing/blurring effect are not an incidental side effect of a representation choice; they are of the essence: a KR is a set of ontological commitments. It is unavoidably so because of the inevitable imperfections of representations. It is usefully so because judicious ...
The Periodic Table of AI Intelligence The question of what
... about what they can and cannot do for us. Even more importantly, we must understand what needs to happen next. Glossing over how intelligent systems work Very few people need to understand the details of every piece of technology in their lives. However, we are entering an era in which decision make ...
... about what they can and cannot do for us. Even more importantly, we must understand what needs to happen next. Glossing over how intelligent systems work Very few people need to understand the details of every piece of technology in their lives. However, we are entering an era in which decision make ...
here
... McCarthy [1997] has argued that modal logic is inadequate for many purposes. There are certainly situations for which modal logic is inadequate, just as there are situations for which first-order logic is in adequate. My goal in this brief note is to look more carefully at the relative adequacy of mo ...
... McCarthy [1997] has argued that modal logic is inadequate for many purposes. There are certainly situations for which modal logic is inadequate, just as there are situations for which first-order logic is in adequate. My goal in this brief note is to look more carefully at the relative adequacy of mo ...
4. Cooperation in Multi-agent Systems – Kevin Wong, Seow Kiam Tian
... Applications of data mining and machine learning techniques need effective methods for extracting rules. Knowledge representation using the extracted rules is an active area of research. The framework of Boolean neural networks provides a good starting point for the construction of a general module ...
... Applications of data mining and machine learning techniques need effective methods for extracting rules. Knowledge representation using the extracted rules is an active area of research. The framework of Boolean neural networks provides a good starting point for the construction of a general module ...
intelligent information systems, quo vadis?
... from facts [21]. In Theorem Proving, the problem description is represented in formal logic in a realm of well defined domain of rules, and problems are treated as theorems to be proved. ...
... from facts [21]. In Theorem Proving, the problem description is represented in formal logic in a realm of well defined domain of rules, and problems are treated as theorems to be proved. ...
Chapter 6 - Expert Systems and knowledge
... When allowing the user to use natural language in obtaining input, a misunderstanding could result because of the ambiguous characteristic of natural language. The use of natural language in the dialogue with the user relies on the meaning of the user’s utterances. The meaning of what exactly is mea ...
... When allowing the user to use natural language in obtaining input, a misunderstanding could result because of the ambiguous characteristic of natural language. The use of natural language in the dialogue with the user relies on the meaning of the user’s utterances. The meaning of what exactly is mea ...
Artificial Intelligence in the Oilfield: A Schlumberger Perspective
... Normal Fault Object Editor: The first editor shows the concept of a normal fault in a way suited mainly to the developer/maintainer. Parts, attributes, methods, and rules. (In many of the slides the fixed and pop-up command menus are not shown.) Sedimentary Analysis Rule Editor: Here is another view ...
... Normal Fault Object Editor: The first editor shows the concept of a normal fault in a way suited mainly to the developer/maintainer. Parts, attributes, methods, and rules. (In many of the slides the fixed and pop-up command menus are not shown.) Sedimentary Analysis Rule Editor: Here is another view ...
Architectures for Robot Control
... defining the parts of the problem that are unsolved as not AI. The principal mechanism for this partitioning is abstraction ... In AI, abstraction is usually used to factor out all aspects of perception and motor skills. I argue below that these are the hard problems solved by intelligent systems, a ...
... defining the parts of the problem that are unsolved as not AI. The principal mechanism for this partitioning is abstraction ... In AI, abstraction is usually used to factor out all aspects of perception and motor skills. I argue below that these are the hard problems solved by intelligent systems, a ...
Imagination, Human and Artificial Donald Perlis
... number of possibilities to consider, with five objects each of which can be moved in various ways. To be sure, there are heuristics that can be very helpful. But these must be supplied by the programmer. On the other hand, an agent that can visually isolate the grouping BCDE as a unit that needs to ...
... number of possibilities to consider, with five objects each of which can be moved in various ways. To be sure, there are heuristics that can be very helpful. But these must be supplied by the programmer. On the other hand, an agent that can visually isolate the grouping BCDE as a unit that needs to ...
Multilingual Word Sense Disambiguation and Entity Linking for
... a text and to link them to the most suitable entry in the considered knowledge base. These two tasks are key to many problems in Artificial Intelligence and especially to Machine Reading (MR) [6], i.e., the problem of automatic, unsupervised understanding of text. Moreover, the recent upsurge of int ...
... a text and to link them to the most suitable entry in the considered knowledge base. These two tasks are key to many problems in Artificial Intelligence and especially to Machine Reading (MR) [6], i.e., the problem of automatic, unsupervised understanding of text. Moreover, the recent upsurge of int ...
+ p - Fizyka UMK
... • Help to visualize multi-dimensional relationships among data samples. • Allow to understand the data in some way. • Facilitate creation of ES and reasoning. ...
... • Help to visualize multi-dimensional relationships among data samples. • Allow to understand the data in some way. • Facilitate creation of ES and reasoning. ...
Investigate the Effect of Expert Systems Application on Management
... Expert Systems are programs that mimic the behavior of an expert human in a particular field. This program uses the information that user stored in them to express an opinion on a particular topic. Thus, expert systems until they find something that matches your answers continue to ask from you. Acc ...
... Expert Systems are programs that mimic the behavior of an expert human in a particular field. This program uses the information that user stored in them to express an opinion on a particular topic. Thus, expert systems until they find something that matches your answers continue to ask from you. Acc ...
Chapter 11 - leons group of colleges
... – Approach to solving complex problems in which a number of related operations or models change and evolve until the best one emerges ...
... – Approach to solving complex problems in which a number of related operations or models change and evolve until the best one emerges ...
Lectures on Artificial Intelligence – CS364 Knowledge Engineering
... • When selecting an expert system shell, we consider: – how the shell represents knowledge (rules or frames); – what inference mechanism it uses (forward or backward chaining); – whether the shell supports inexact reasoning and if so what technique it uses (Bayesian reasoning, certainty factors or f ...
... • When selecting an expert system shell, we consider: – how the shell represents knowledge (rules or frames); – what inference mechanism it uses (forward or backward chaining); – whether the shell supports inexact reasoning and if so what technique it uses (Bayesian reasoning, certainty factors or f ...
Enhancing the Scientific Process with Artificial
... including them in a theory makes it possible to how one understands a joke. Knowledge production deduce or explain previously anomalous facts. refers to a process analogous to what might occur in Knowledge delivery. Historically, scientists have manufacturing beginning with an order for some not agr ...
... including them in a theory makes it possible to how one understands a joke. Knowledge production deduce or explain previously anomalous facts. refers to a process analogous to what might occur in Knowledge delivery. Historically, scientists have manufacturing beginning with an order for some not agr ...
CS 561a: Introduction to Artificial Intelligence
... • 20-Planning. [AIMA Ch 11] Definition and goals. Basic representations for planning. Situation space and plan space. ...
... • 20-Planning. [AIMA Ch 11] Definition and goals. Basic representations for planning. Situation space and plan space. ...
PPT
... The right thing: that which is expected to maximize goal achievement, given the available information Doesn't necessarily involve thinking, e.g., blinking Thinking can be in the service of rational action Entirely dependent on goals! Irrational ≠ insane, irrationality is sub-optimal action ...
... The right thing: that which is expected to maximize goal achievement, given the available information Doesn't necessarily involve thinking, e.g., blinking Thinking can be in the service of rational action Entirely dependent on goals! Irrational ≠ insane, irrationality is sub-optimal action ...
blank page
... expertise, but the failures in areas requiring general abilities. Describe some of the things which AI cannot do, and explain Minsky’s ideas about why this is so, and in particular what is missing from AI systems. ...
... expertise, but the failures in areas requiring general abilities. Describe some of the things which AI cannot do, and explain Minsky’s ideas about why this is so, and in particular what is missing from AI systems. ...
An Expert System Approach for determine the stage of UiTM Perlis
... promotion to higher rank, whether individual performance or in a group. Cadets are selected for promotion based on demonstrated leadership abilities, acquired skills, physical fitness, and comprehension of information as measured through standardized testing. However, this method is too complicated ...
... promotion to higher rank, whether individual performance or in a group. Cadets are selected for promotion based on demonstrated leadership abilities, acquired skills, physical fitness, and comprehension of information as measured through standardized testing. However, this method is too complicated ...
Document
... Artificial Intelligence (AI) has emerged as one of the most significance technologies of this century subfield of computing science that is concerned with symbolic reasoning and problem solving, by manipulation of knowledge rather than mere data classical ‘non-intelligent’ computer programs: ...
... Artificial Intelligence (AI) has emerged as one of the most significance technologies of this century subfield of computing science that is concerned with symbolic reasoning and problem solving, by manipulation of knowledge rather than mere data classical ‘non-intelligent’ computer programs: ...
Human-Machine Interaction and User
... • Researchers build AI programs having some aspect of intelligence… not 100%. • The order in which AI problems where tackled: – Early Work: Game playing, theorem proving, commonsense reasoning. – Subsequent Work: Perception (Vision and speech), Natural Language Understanding, Expert Problem Solving. ...
... • Researchers build AI programs having some aspect of intelligence… not 100%. • The order in which AI problems where tackled: – Early Work: Game playing, theorem proving, commonsense reasoning. – Subsequent Work: Perception (Vision and speech), Natural Language Understanding, Expert Problem Solving. ...