AI Research in the 21st Century
... solve problems by extracting them from their environment and by splitting them into smaller problems. Once we understand enough of the problems we create Logic-based simplifications called “models” such as theories, equations, and computer algorithms. Models describe simplified and context-free, reu ...
... solve problems by extracting them from their environment and by splitting them into smaller problems. Once we understand enough of the problems we create Logic-based simplifications called “models” such as theories, equations, and computer algorithms. Models describe simplified and context-free, reu ...
AI-Complete CAPTCHAs - Computer Engineering and Computer
... (i.e., the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard. Examples of AI-complete problems are “The Vision Problem”, building a system that can see as well as a human, and “The Natural Language Problem”, building a system that can understan ...
... (i.e., the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard. Examples of AI-complete problems are “The Vision Problem”, building a system that can see as well as a human, and “The Natural Language Problem”, building a system that can understan ...
An Expert System Framework for Infertility in Women using Web
... the knowledge from a human expert and coding it into a form that a computer may apply to similar problems. Each of the component on the Figure 4.1 play an important roles for the infertility expert system. The component consists of user interface, explanation mechanism, inference engine, knowledge b ...
... the knowledge from a human expert and coding it into a form that a computer may apply to similar problems. Each of the component on the Figure 4.1 play an important roles for the infertility expert system. The component consists of user interface, explanation mechanism, inference engine, knowledge b ...
Special Issue of Artificial Intelligence and Law in Honor of Carole
... 2016, focusing on Carole’s main research topics: semantic retrieval and the procedural, temporal and teleological aspects of reasoning with legal cases. In her long academic career, Carole Hafner made contributions in a number of areas of AI and Law. Her 1978 Ph.D. dissertation was a pioneering effo ...
... 2016, focusing on Carole’s main research topics: semantic retrieval and the procedural, temporal and teleological aspects of reasoning with legal cases. In her long academic career, Carole Hafner made contributions in a number of areas of AI and Law. Her 1978 Ph.D. dissertation was a pioneering effo ...
Artificial Intelligence
... Study the “Artificial Intelligence” article from the Wikipedia. Don’t read ch.1 You will answer one of the following questions. This will be a quiz! ...
... Study the “Artificial Intelligence” article from the Wikipedia. Don’t read ch.1 You will answer one of the following questions. This will be a quiz! ...
CSC384h: Intro to Artificial Intelligence CSC384h: Intro to Artificial
... you are not comfortable with Prolog take a look at the web page “Prolog Resources Link”. There is a simple set of Prolog examples, a link to an on-line tutorial, and other material than you can use. ...
... you are not comfortable with Prolog take a look at the web page “Prolog Resources Link”. There is a simple set of Prolog examples, a link to an on-line tutorial, and other material than you can use. ...
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH
... One of the central notions underlying the earliest work in knowledge-based systems was that a general problem-solving algorithm was sufficient for solving complex problems. In this approach, domain knowledge could be described with a set of IF-THEN rules, independent of any particular high-level pr ...
... One of the central notions underlying the earliest work in knowledge-based systems was that a general problem-solving algorithm was sufficient for solving complex problems. In this approach, domain knowledge could be described with a set of IF-THEN rules, independent of any particular high-level pr ...
Application of artificial intelligence in military aptitude tests
... artificial intelligence, which is an interdisciplinary science with the basic aim to model human thinking and to supplement and assist natural intelligence. The current focus of the research for artificial intelligence is not on solutions to general problems but on the application of special heurist ...
... artificial intelligence, which is an interdisciplinary science with the basic aim to model human thinking and to supplement and assist natural intelligence. The current focus of the research for artificial intelligence is not on solutions to general problems but on the application of special heurist ...
An Auxiliary System for Medical Diagnosis Based on Bayesian
... inference module, reading data from the structure.txt file. After requested by the user, the diagnostic system runs the algorithm for probabilities inference. The Internet page exchanges data with the Java interface (evidences and updated probabilities) each time the user interacts with the system. ...
... inference module, reading data from the structure.txt file. After requested by the user, the diagnostic system runs the algorithm for probabilities inference. The Internet page exchanges data with the Java interface (evidences and updated probabilities) each time the user interacts with the system. ...
Achieving Human-Level Intelligence through Integrated Systems
... grate reasoning, vision, and motion planning). Second, the ability to enable new or significantly improved applications is a motivation for achieving human-level AI. Finally, many applications (for example, training simulators) require humanlike behavior and thus drive the need for human-level intel ...
... grate reasoning, vision, and motion planning). Second, the ability to enable new or significantly improved applications is a motivation for achieving human-level AI. Finally, many applications (for example, training simulators) require humanlike behavior and thus drive the need for human-level intel ...
CV extended
... technologies to .NET and it is broadly distributed worldwide. Moreover, we have extensively applied it in other languages such as Informix, Java, and Cobol. I built and led the company as CEO for 15 years generating more than $70m in revenue, and obtained very significative investments from Microsof ...
... technologies to .NET and it is broadly distributed worldwide. Moreover, we have extensively applied it in other languages such as Informix, Java, and Cobol. I built and led the company as CEO for 15 years generating more than $70m in revenue, and obtained very significative investments from Microsof ...
The Relative Expressiveness of Abstract Argumentation and Logic
... • the propositional satisfiability problem is NP-complete. In view of these almost identical complexities, we use an alternative measure of the expressiveness of a knowledge representation language L: “Given a set of two-valued interpretations, is there a knowledge base in L that has this exact mode ...
... • the propositional satisfiability problem is NP-complete. In view of these almost identical complexities, we use an alternative measure of the expressiveness of a knowledge representation language L: “Given a set of two-valued interpretations, is there a knowledge base in L that has this exact mode ...
Knowledge and Artificial Intelligence in Virtual Environment
... thinking as interaction between a subject carrying out studies and an object undergoing the studies. The most essential of all the mental abilities of which intelligence is composed is, according to him, the ability to analyze and synthesize relations occurring in the domain to which a given ability ...
... thinking as interaction between a subject carrying out studies and an object undergoing the studies. The most essential of all the mental abilities of which intelligence is composed is, according to him, the ability to analyze and synthesize relations occurring in the domain to which a given ability ...
Specialized Systems, Ai, Expert, Virtual Reality
... • Define the term artificial intelligence and state the objective of developing artificial intelligence systems • List the characteristics of intelligent behavior and compare the performance of natural and artificial intelligence systems for each of these characteristics • Identify the major compone ...
... • Define the term artificial intelligence and state the objective of developing artificial intelligence systems • List the characteristics of intelligent behavior and compare the performance of natural and artificial intelligence systems for each of these characteristics • Identify the major compone ...
Chapter 1: Introduction to Expert Systems
... Expert Systems: Principles and Programming, Fourth Edition ...
... Expert Systems: Principles and Programming, Fourth Edition ...
Using Management Information Systems
... Google or other search engines. Organizations must index their own proprietary documents and provide their own search capability for them. Web browsers and other programs can readily format content expressed in HTML, PDF, or another standard format. XML documents often contain their own formatting r ...
... Google or other search engines. Organizations must index their own proprietary documents and provide their own search capability for them. Web browsers and other programs can readily format content expressed in HTML, PDF, or another standard format. XML documents often contain their own formatting r ...
Why Probability?
... – Low “process noise” leads to long dwell times in widely separated basins of attraction • “In fact, for the case of very small process noise, all particles will collapse to a single point within a few iterations.” • “If the process noise is zero, then using a particle filter is not ...
... – Low “process noise” leads to long dwell times in widely separated basins of attraction • “In fact, for the case of very small process noise, all particles will collapse to a single point within a few iterations.” • “If the process noise is zero, then using a particle filter is not ...
What is Artificial Intelligence?
... Artificial Intelligence. J. McCarthy, M. L. Minsky, N. Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of th ...
... Artificial Intelligence. J. McCarthy, M. L. Minsky, N. Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of th ...
artificial intelligence (AI)
... 1.5 The Role of Artificial Intelligence in Logic The importance of applications in logical AI, and the scale of these applications, represents a new methodology for logic—one that would have been impossible without mechanized reasoning. This methodology forces theoreticians to think through problems ...
... 1.5 The Role of Artificial Intelligence in Logic The importance of applications in logical AI, and the scale of these applications, represents a new methodology for logic—one that would have been impossible without mechanized reasoning. This methodology forces theoreticians to think through problems ...
Coevolutionary Construction of Features for Transformation of
... of the original one, i.e. F⊆F0. • Feature weighting methods. In this case, the transformation method assigns weights to particular attributes (thus, formally the representation does not change here, i.e. F=F0). The weight reflects relative importance of an attribute and may be utilized in the proces ...
... of the original one, i.e. F⊆F0. • Feature weighting methods. In this case, the transformation method assigns weights to particular attributes (thus, formally the representation does not change here, i.e. F=F0). The weight reflects relative importance of an attribute and may be utilized in the proces ...
Chapter 1: Introduction to Expert Systems
... Expert Systems: Principles and Programming, Fourth Edition ...
... Expert Systems: Principles and Programming, Fourth Edition ...
記錄 編號 6668 狀態 NC094FJU00392004 助教 查核 索書 號 學校
... intelligent agent. When agents are initially created, they have some goals and few capabilities. Each capability composes by one or more actions. These capabilities can perform some actions to satisfy their goals. They strive to adapt themselves to the low capabilities. Reinforcement learning method ...
... intelligent agent. When agents are initially created, they have some goals and few capabilities. Each capability composes by one or more actions. These capabilities can perform some actions to satisfy their goals. They strive to adapt themselves to the low capabilities. Reinforcement learning method ...
2.2 Health Recommender System - YesBut
... system can be lowest. Another difference is that patient’s privacy must be considered in HRS. Despite privacy problem also exists in classical RS, the security level of HRS is much higher since the data is related to patient’s medical history. Data from hospital must be de-identified before they com ...
... system can be lowest. Another difference is that patient’s privacy must be considered in HRS. Despite privacy problem also exists in classical RS, the security level of HRS is much higher since the data is related to patient’s medical history. Data from hospital must be de-identified before they com ...
