Ergo: A Graphical Environment for Constructing Bayesian
... influence diagrams [Howard 1984; Shachter 1986], and causal networks [Lauritzen 1988]. We shall use the term belief network in this paper. Belief networks provide a conceptual framework for constructing expert systems [Cooper 1989; Horvitz 1988]; they function as platforms for knowledge acquisition ...
... influence diagrams [Howard 1984; Shachter 1986], and causal networks [Lauritzen 1988]. We shall use the term belief network in this paper. Belief networks provide a conceptual framework for constructing expert systems [Cooper 1989; Horvitz 1988]; they function as platforms for knowledge acquisition ...
Predictions for Big Data Analytics in 2016
... Intuition is a very much a human skill. We all have hunches and “gut feelings” about what to do, what’s right, and what’s wrong. But intuition without hard data to back it up seldom leads to an ideal choice. Optimization happens when data drives a decision and supplements it—at key moments—with huma ...
... Intuition is a very much a human skill. We all have hunches and “gut feelings” about what to do, what’s right, and what’s wrong. But intuition without hard data to back it up seldom leads to an ideal choice. Optimization happens when data drives a decision and supplements it—at key moments—with huma ...
From: AAAI Technical Report S-9 - . Compilation copyright © 199
... Virtually every application of artificial intelligence requires the use of context. At the very least, the application domain itself provides an important context for reasoning, and AI applications can be more effective and efficient if they exploit this contextual knowledge. Often, the application ...
... Virtually every application of artificial intelligence requires the use of context. At the very least, the application domain itself provides an important context for reasoning, and AI applications can be more effective and efficient if they exploit this contextual knowledge. Often, the application ...
Artificial morality: Top-down, bottom
... behavior without necessarily providing an explicit theory of what counts as such. Bottom-up strategies hold the promise of giving rise to skills and standards that are integral to the over-all design of the system, but they are extremely difficult to evolve or develop. Evolution and learning are filled ...
... behavior without necessarily providing an explicit theory of what counts as such. Bottom-up strategies hold the promise of giving rise to skills and standards that are integral to the over-all design of the system, but they are extremely difficult to evolve or develop. Evolution and learning are filled ...
Douglas Hofstadter - The Minds I Further Reading
... and K. Anders Ericsson and Herbert Simon, "Verbal Reports as Data," Psychological Review (vol. 87, (3), May 1980, pp. 215-250). Many robots like the Mark III Beast have been built over the years. One at Johns Hopkins University was in fact called the Hopkins Beast. For a brief illustrated review of ...
... and K. Anders Ericsson and Herbert Simon, "Verbal Reports as Data," Psychological Review (vol. 87, (3), May 1980, pp. 215-250). Many robots like the Mark III Beast have been built over the years. One at Johns Hopkins University was in fact called the Hopkins Beast. For a brief illustrated review of ...
Artificial neural network
... While historically the brain has been viewed as a type of computer, and viceversa, this is true only in the loosest sense. Computers do not provide us with accurate hardware for describing the brain (even though it is possible to describe a logical process as a computer program or to simulate a brai ...
... While historically the brain has been viewed as a type of computer, and viceversa, this is true only in the loosest sense. Computers do not provide us with accurate hardware for describing the brain (even though it is possible to describe a logical process as a computer program or to simulate a brai ...
Sanghi+Dowe_IQ_Paper_JIntConfCogSci2003
... Dowe, http://plato.stanford.edu/entries/turing-test, 2003), was proposed as a way in which thinking or intelligence could be ascribed to any agent - including a computer program or machine - able to play the game. People routinely ascribe intelligence to humans and other animals by a variety of mean ...
... Dowe, http://plato.stanford.edu/entries/turing-test, 2003), was proposed as a way in which thinking or intelligence could be ascribed to any agent - including a computer program or machine - able to play the game. People routinely ascribe intelligence to humans and other animals by a variety of mean ...
Discovery Informatics: AI Opportunities in Scientific Discovery
... in one field often only realizes the need for expertise in another field during the course of the work. In addition, the public’s participation in science makes it possible to have massive contributions of effort that result either in precious data that would not otherwise be available or in valuabl ...
... in one field often only realizes the need for expertise in another field during the course of the work. In addition, the public’s participation in science makes it possible to have massive contributions of effort that result either in precious data that would not otherwise be available or in valuabl ...
Information Technology Software
... Human Cognition and Decision Styles Every person makes decisions differently!!! As a good consultant / analyst, you need to research the decision styles of your system’s target audience / user base. ...
... Human Cognition and Decision Styles Every person makes decisions differently!!! As a good consultant / analyst, you need to research the decision styles of your system’s target audience / user base. ...
Course Outline
... More specifically, after finishing this course, students will: Understand the functionality, pros and cons of the possible components (models) that can be used in the model subsystem of a DSS Identify problems and possible solutions related to the dialogue subsystem of a DSS Know the problems that a ...
... More specifically, after finishing this course, students will: Understand the functionality, pros and cons of the possible components (models) that can be used in the model subsystem of a DSS Identify problems and possible solutions related to the dialogue subsystem of a DSS Know the problems that a ...
Role of Expert Systems in Construction Roboticsl
... The principal distinction between expert systems and algorithmic programs lies in the use of knowledge. A traditional algorithmic application is organized into data and program. An expert system separates the program into an explicit knowledge base describing the problem solving strategy and a contr ...
... The principal distinction between expert systems and algorithmic programs lies in the use of knowledge. A traditional algorithmic application is organized into data and program. An expert system separates the program into an explicit knowledge base describing the problem solving strategy and a contr ...
Lecture-13-Environments - Computation Structures Group
... – Resources sometimes fail while being used – The system acts on sensor data which has uncertainty ...
... – Resources sometimes fail while being used – The system acts on sensor data which has uncertainty ...
Introduction to AI
... Breath-First has the best time complexity. BFS = O(bd+1) DFS = O(bm) Breath-First checks level by level, and is guaranteed not to search beyond depth d. Depthfirst explores branch by branch down to the maximum depth m. ...
... Breath-First has the best time complexity. BFS = O(bd+1) DFS = O(bm) Breath-First checks level by level, and is guaranteed not to search beyond depth d. Depthfirst explores branch by branch down to the maximum depth m. ...
DCP 1172: Introduction to Artificial Intelligence
... • No presuppositions about how they should be designed to do the right thing • I.e. not limited to how people do it • Evaluation is based on performance, not on how the task is performed ...
... • No presuppositions about how they should be designed to do the right thing • I.e. not limited to how people do it • Evaluation is based on performance, not on how the task is performed ...
New Trends in Intelligent Systems and Soft Computing Towards and
... to programme computers, with a storage capacity of about 109, to make them play the imitation game so well that an average interrogator will not have more than 70 % chance of making the right identification after five minutes of questioning” So far, no success Seminar on New Trends in Intelligent Sy ...
... to programme computers, with a storage capacity of about 109, to make them play the imitation game so well that an average interrogator will not have more than 70 % chance of making the right identification after five minutes of questioning” So far, no success Seminar on New Trends in Intelligent Sy ...
LECTURE SEVEN
... If machine-state-functionalism is right, then the nature of human mind is nothing but a properly programmed Turing-machine. Since the machine-table is multiply realizable by different physical substrates, human mental states can be also implemented by a properly programmed digital computer. That mea ...
... If machine-state-functionalism is right, then the nature of human mind is nothing but a properly programmed Turing-machine. Since the machine-table is multiply realizable by different physical substrates, human mental states can be also implemented by a properly programmed digital computer. That mea ...
LECTURE SEVEN
... If machine-state-functionalism is right, then the nature of human mind is nothing but a properly programmed Turing-machine. Since the machine-table is multiply realizable by different physical substrates, human mental states can be also implemented by a properly programmed digital computer. That mea ...
... If machine-state-functionalism is right, then the nature of human mind is nothing but a properly programmed Turing-machine. Since the machine-table is multiply realizable by different physical substrates, human mental states can be also implemented by a properly programmed digital computer. That mea ...
Chapter 15: Is Artificial Intelligence Real?
... The main outcome of the early automatic language translation efforts was the realization that: A. translation without understanding is impossible. B. computers are faster and more accurate. C. computers make fewer errors than humans. D. computers can accurately translate 99% of the text. ...
... The main outcome of the early automatic language translation efforts was the realization that: A. translation without understanding is impossible. B. computers are faster and more accurate. C. computers make fewer errors than humans. D. computers can accurately translate 99% of the text. ...
Cognitive Medical Multiagent Systems
... described multiagent systems, some of them made up of relatively simple agents that could be considered intelligent at the level of the multiagent system in which they operate. 4. Agent-based medical systems Medical expert systems represent relatively classical applications used for medical diagnose ...
... described multiagent systems, some of them made up of relatively simple agents that could be considered intelligent at the level of the multiagent system in which they operate. 4. Agent-based medical systems Medical expert systems represent relatively classical applications used for medical diagnose ...
An Alternative Arithmetic Approach to the Water Jugs Problem
... output. By using the Extended Euclidean Approach we are able to get the appropriate result with less work, complexity and memory. We can assure that the answer what is found out is efficient and effective. ...
... output. By using the Extended Euclidean Approach we are able to get the appropriate result with less work, complexity and memory. We can assure that the answer what is found out is efficient and effective. ...
Artificial Intelligence and Environmental Decision Support Systems
... Every stage in the development process involves a relatively straightforward step of transformation from one model to the next. That is, from requirements to conceptual model, from conceptual model to design model, and from design model to code. In Fig. 2, a scheme of the ideal cycle of development ...
... Every stage in the development process involves a relatively straightforward step of transformation from one model to the next. That is, from requirements to conceptual model, from conceptual model to design model, and from design model to code. In Fig. 2, a scheme of the ideal cycle of development ...
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
... Support Vector Machine is a supervised learning tool in which the training error is assumed fixed and training the model with pre-defined data. SVM tool is used for both classification and regression problems and it is based on statistical learning theory .In SVM some sample data as an input is give ...
... Support Vector Machine is a supervised learning tool in which the training error is assumed fixed and training the model with pre-defined data. SVM tool is used for both classification and regression problems and it is based on statistical learning theory .In SVM some sample data as an input is give ...
Expert systems
... would require intelligence if done by men’ (accredited to Minsky). The beginning of the modern field of artificial intelligence is often traced to the so-called Dartmouth conference in 1956, organized by John McCarthy and Marvin Minsky. McCarthy at Stanford University, and Minsky at the Massachusett ...
... would require intelligence if done by men’ (accredited to Minsky). The beginning of the modern field of artificial intelligence is often traced to the so-called Dartmouth conference in 1956, organized by John McCarthy and Marvin Minsky. McCarthy at Stanford University, and Minsky at the Massachusett ...