Introduction to Artificial Intelligence
... – Interactive environment, which allows programs to be developed step by step. That is, if a change is to be introduced, only changed functions need to be recompiled. ...
... – Interactive environment, which allows programs to be developed step by step. That is, if a change is to be introduced, only changed functions need to be recompiled. ...
knowledge and the problem of logical omniscience
... of actual knowledge of facts is much less than the S5 logic would suggest. There are, in fact, some proposals in the literature, based on syntactic treatments of knowledge, or more exotically, on the notion of an impossible possible world. See [H3] pages 7-9 for a brief overview of such attempts. Ho ...
... of actual knowledge of facts is much less than the S5 logic would suggest. There are, in fact, some proposals in the literature, based on syntactic treatments of knowledge, or more exotically, on the notion of an impossible possible world. See [H3] pages 7-9 for a brief overview of such attempts. Ho ...
Introduction
... • To try and properly define the semantics of a semantic network (what it means) set theory is often employed. • Semantic networks allows us to represent knowledge about objects and relationships between objects in an intuitive way. – However the sort of inferences that can be supported is fairly ...
... • To try and properly define the semantics of a semantic network (what it means) set theory is often employed. • Semantic networks allows us to represent knowledge about objects and relationships between objects in an intuitive way. – However the sort of inferences that can be supported is fairly ...
Knowledge Management Systems: Development and Applications Part II: Techniques and Examples
... OOHAY: CI Spider, Meta Spider, Med Spider 3. Noun Phrases are extracted from the web ages and user can selected preferred phrases for further summarization. ...
... OOHAY: CI Spider, Meta Spider, Med Spider 3. Noun Phrases are extracted from the web ages and user can selected preferred phrases for further summarization. ...
systems
... Arrange gates for flights considering the seat capacity, time to take off, connected flights, weather condition, emergent factors, etc. ...
... Arrange gates for flights considering the seat capacity, time to take off, connected flights, weather condition, emergent factors, etc. ...
AP/PHIL/COGS 3750 Philosophy of Artificial Intelligence Dept. of
... 3) Suppose that you are using frame axioms to specify when fluents persist. Suppose also that you have n fluents and m actions. How many frame axioms would you need in terms of n and m? [2 marks] ...
... 3) Suppose that you are using frame axioms to specify when fluents persist. Suppose also that you have n fluents and m actions. How many frame axioms would you need in terms of n and m? [2 marks] ...
Microsoft Word 97/2000/XP
... language design. Illustrative examples will be selected from a variety of programming language paradigms. The study of languages is central to the computer science field. This course addresses key issues regarding language definition and implementation techniques. Formal specification of languages r ...
... language design. Illustrative examples will be selected from a variety of programming language paradigms. The study of languages is central to the computer science field. This course addresses key issues regarding language definition and implementation techniques. Formal specification of languages r ...
Chapter 11
... Chapter Overview Artificial intelligence systems include the people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence. Researchers, scientists, and experts on how humans think are often involved in de ...
... Chapter Overview Artificial intelligence systems include the people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence. Researchers, scientists, and experts on how humans think are often involved in de ...
Decision Support Systems
... • Especially useful for situations in which thousands of solutions are possible & must be evaluated ...
... • Especially useful for situations in which thousands of solutions are possible & must be evaluated ...
Introduction
... • To try and properly define the semantics of a semantic network (what it means) set theory is often employed. • Semantic networks allows us to represent knowledge about objects and relationships between objects in an intuitive way. – However the sort of inferences that can be supported is fairly ...
... • To try and properly define the semantics of a semantic network (what it means) set theory is often employed. • Semantic networks allows us to represent knowledge about objects and relationships between objects in an intuitive way. – However the sort of inferences that can be supported is fairly ...
sv-lncs - United International College
... conversational agent providing an interactive and personal way for users to get answers and assistance on any website. A customer simply chats with an assistant, and the assistant acts as an agent, providing answers, processing data and solving customer problems. A chatbot provides frontline support ...
... conversational agent providing an interactive and personal way for users to get answers and assistance on any website. A customer simply chats with an assistant, and the assistant acts as an agent, providing answers, processing data and solving customer problems. A chatbot provides frontline support ...
Reinhard Karger, MA What is artificial intelligence
... Conference held in Hanover, New Hampshire, where the term "artificial intelligence" was coined. AI focuses on the simulation of human know-how and more specific human cognitive abilities. These include the production and recognition of speech, an understanding of language, the interpretation of pict ...
... Conference held in Hanover, New Hampshire, where the term "artificial intelligence" was coined. AI focuses on the simulation of human know-how and more specific human cognitive abilities. These include the production and recognition of speech, an understanding of language, the interpretation of pict ...
Artificial Intelligence and neural networks
... Vermont for "The Dartmouth summer research project on artificial intelligence." From that point on, because of McCarthy, the field would be known as Artificial intelligence. Although not a huge success, the Dartmouth conference did bring together the founders in AI, and served to lay the groundwork ...
... Vermont for "The Dartmouth summer research project on artificial intelligence." From that point on, because of McCarthy, the field would be known as Artificial intelligence. Although not a huge success, the Dartmouth conference did bring together the founders in AI, and served to lay the groundwork ...
Topic 9
... The response depends in part on the pragmatics of the input language eg greetings require greetings, questions require answers, commands require actions The data structure can be used to initiate some action, eg the language system is a front-end to a DBMS. The generator writes commands in a q ...
... The response depends in part on the pragmatics of the input language eg greetings require greetings, questions require answers, commands require actions The data structure can be used to initiate some action, eg the language system is a front-end to a DBMS. The generator writes commands in a q ...
A88-1018
... for role) is by default the same as the recipient of the offer (the to role). Since TRUMP is a domain-independent analyzer, it cannot itself fill such roles appropriately. The knowledge sources at work in SCISOR and the timing of the information exchange in the system are described in the next secti ...
... for role) is by default the same as the recipient of the offer (the to role). Since TRUMP is a domain-independent analyzer, it cannot itself fill such roles appropriately. The knowledge sources at work in SCISOR and the timing of the information exchange in the system are described in the next secti ...
Tutorial Response Generation in a Writing Tool for Deaf Learners of
... overall system architecture.) The text generation module it will employ produces original text to instruct the user on errors found in his or her writing, tailored to the user’s understanding and learning style. The model I propose for planning this text composes it according to a four-tier response ...
... overall system architecture.) The text generation module it will employ produces original text to instruct the user on errors found in his or her writing, tailored to the user’s understanding and learning style. The model I propose for planning this text composes it according to a four-tier response ...
Efficient Probabilistic Programming Languages Robert Zinkov Abstract
... In recent years, declarative programming languages specialized for probabilistic modeling has emerged as distinct class of languages. These languages are predominantly written by researchers in the machine learning field and concentrate on generalized MCMC inference algorithm. Unfortunately, all the ...
... In recent years, declarative programming languages specialized for probabilistic modeling has emerged as distinct class of languages. These languages are predominantly written by researchers in the machine learning field and concentrate on generalized MCMC inference algorithm. Unfortunately, all the ...
Improving Construction and Maintenance of Agent-based
... Building expert systems by using shells offers significant advantages for experts/knowledge engineers. The rule base encoding is somewhat next to the natural language, and shells can be used directly since after the knowledge engineer fills the rule base there is no need for any other procedure to u ...
... Building expert systems by using shells offers significant advantages for experts/knowledge engineers. The rule base encoding is somewhat next to the natural language, and shells can be used directly since after the knowledge engineer fills the rule base there is no need for any other procedure to u ...
Welcome to - Williams Computer Science
... Probably no one would ever know this; it did not matter. In the 1980s, Minsky and Good had shown how neural networks could be generated automatically -- selfreplicated -- in accordance with any arbitrary learning program. Artificial brains cold be grown… Whatever way it worked, the final result was ...
... Probably no one would ever know this; it did not matter. In the 1980s, Minsky and Good had shown how neural networks could be generated automatically -- selfreplicated -- in accordance with any arbitrary learning program. Artificial brains cold be grown… Whatever way it worked, the final result was ...
How we think about meaning, and what`s wrong with it
... correct outputs for a set of inputs. It is ironic that reinforcement learning is capable of producing at least rudimentary natural semantic systems but we use it to produce conventional systems. Conventional functionalism is a good way to build systems with a little semantics that do what we want th ...
... correct outputs for a set of inputs. It is ironic that reinforcement learning is capable of producing at least rudimentary natural semantic systems but we use it to produce conventional systems. Conventional functionalism is a good way to build systems with a little semantics that do what we want th ...
A Rule-Based Expert System for Mineral Identification
... identified minerals based on the unique physical characteristics exhibited by the sample under investigation. The proposed system is a replica of the traditional approach using the concept of expert system where the expertise of a geologist is developed in form of a knowledge-domain. In such cases, ...
... identified minerals based on the unique physical characteristics exhibited by the sample under investigation. The proposed system is a replica of the traditional approach using the concept of expert system where the expertise of a geologist is developed in form of a knowledge-domain. In such cases, ...
Intelligent System
... What is an “intelligent system”? It is hard to define what exactly an “intelligent system” is. No one can deny that the intelligent system already has an increasing impact on the quality of life in many areas. Intelligence in a system refers to its ability to learn or adapt, and to modify its functi ...
... What is an “intelligent system”? It is hard to define what exactly an “intelligent system” is. No one can deny that the intelligent system already has an increasing impact on the quality of life in many areas. Intelligence in a system refers to its ability to learn or adapt, and to modify its functi ...
Automatic Extraction of Efficient Axiom Sets from Large Knowledge
... world history, particularly the Middle East, including its geography, history, and information about current events. The current corpus consists of 62 stories (956 sentences). Given this initial focus, we developed a set of parameterized question templates [Cohen et al, 1998] for testing the system’ ...
... world history, particularly the Middle East, including its geography, history, and information about current events. The current corpus consists of 62 stories (956 sentences). Given this initial focus, we developed a set of parameterized question templates [Cohen et al, 1998] for testing the system’ ...
PDF only
... production rules that map problem data into a dis crete scale of qualitative confidence values. This mapping implements either the hypothesis matching task, or the knowledge-directed information passing task. Each knowledge group corresponds to an ev idential abstraction needed to establish a hypo ...
... production rules that map problem data into a dis crete scale of qualitative confidence values. This mapping implements either the hypothesis matching task, or the knowledge-directed information passing task. Each knowledge group corresponds to an ev idential abstraction needed to establish a hypo ...