s Vision: Levels of Analysis in Cognitive Science
... Four papers discuss the relationship between theories at different levels of analysis, and in particular what constitutes an appropriate strategy for connecting models at the computational level with theories at lower levels. Griffiths, Lieder, and Goodman suggest a top–down strategy that starts by ...
... Four papers discuss the relationship between theories at different levels of analysis, and in particular what constitutes an appropriate strategy for connecting models at the computational level with theories at lower levels. Griffiths, Lieder, and Goodman suggest a top–down strategy that starts by ...
325
... be approved by the supervising faculty and the department chair. Prerequisite(s): Approval of student’s research plan by a computer science and engineering faculty member. 5932. Internship. 1 hour. Supervised work in a job that meets specific educational and career objectives of the student. Require ...
... be approved by the supervising faculty and the department chair. Prerequisite(s): Approval of student’s research plan by a computer science and engineering faculty member. 5932. Internship. 1 hour. Supervised work in a job that meets specific educational and career objectives of the student. Require ...
Artificial Intelligence I Introductory Notes
... component parts of that problem. What distinguishes artificial intelligence systems from, say, database systems, is that they not only represent knowledge internally, they are also able to manipulate it and draw conclusions which we would say need “intelligence” to reach. If the knowledge we are int ...
... component parts of that problem. What distinguishes artificial intelligence systems from, say, database systems, is that they not only represent knowledge internally, they are also able to manipulate it and draw conclusions which we would say need “intelligence” to reach. If the knowledge we are int ...
Hal 9000 and AI - Computer Science and Technology
... What does it take to pass? The Loebner Prize, that started in 1990, is an annual competition that awards prizes to the Chatterbot considered by the judges to be the most human-like among the competitors. The format of the competition is that of a standard Turing test. The Loebner Prize Competition ...
... What does it take to pass? The Loebner Prize, that started in 1990, is an annual competition that awards prizes to the Chatterbot considered by the judges to be the most human-like among the competitors. The format of the competition is that of a standard Turing test. The Loebner Prize Competition ...
David Bergman Assistant Professor Operations and Information Management Department School of Business,
... OPIM 5272: Business Process Modeling and Data Management. Fall 2013, Spring 2014, Fall 2014. • Required graduate course in the Business Analytics and Project Management M.S. degree program at the University of Connecticut BUS 70-374: Forecasting and Data Mining. Spring 2011. • Undergraduate course i ...
... OPIM 5272: Business Process Modeling and Data Management. Fall 2013, Spring 2014, Fall 2014. • Required graduate course in the Business Analytics and Project Management M.S. degree program at the University of Connecticut BUS 70-374: Forecasting and Data Mining. Spring 2011. • Undergraduate course i ...
Yale University “Imagine that you work for a computer company. You
... the first class in a seminar titled, Robot Morals and Human Ethics. The seminar was an introduction to the new field of inquiry that is variously known as machine ethics, machine morality, artificial morality, computational ethics, robot ethics, and friendly AI. ...
... the first class in a seminar titled, Robot Morals and Human Ethics. The seminar was an introduction to the new field of inquiry that is variously known as machine ethics, machine morality, artificial morality, computational ethics, robot ethics, and friendly AI. ...
AAAI 2001 Spring Symposium Series Reports
... itself. For example, an ASP program encoding a planning scenario has as many models as valid plans. This schema is similar to that underlying the application of propositional satisfiability (SAT) algorithms. In fact, the ranges of applicability of these two techniques are similar. Several ASP system ...
... itself. For example, an ASP program encoding a planning scenario has as many models as valid plans. This schema is similar to that underlying the application of propositional satisfiability (SAT) algorithms. In fact, the ranges of applicability of these two techniques are similar. Several ASP system ...
Chapter 14: Artificial Intelligence
... Invitation to Computer Science, Java Version, Third Edition ...
... Invitation to Computer Science, Java Version, Third Edition ...
Chapter 14: Artificial Intelligence
... Invitation to Computer Science, Java Version, Third Edition ...
... Invitation to Computer Science, Java Version, Third Edition ...
e-Learning and e-Ethics - International Journal of the Computer, the
... factors of social life today including education, technology and ethics. Education and its related fields is the scene of the conflict between leading theories about learning and ethics. We have theories about learning process in virtual environment and also theories about how to imply ethical norms ...
... factors of social life today including education, technology and ethics. Education and its related fields is the scene of the conflict between leading theories about learning and ethics. We have theories about learning process in virtual environment and also theories about how to imply ethical norms ...
Mind, computational theories of
... The key idea behind the adder is that of a mirroring, or an isomorphism, between syntactic relations among numerals and their semantics, namely the relations among the numbers the numerals represent (see §1 above). This idea need not be confined to arithmetic. In their development of modern ‘formal’ ...
... The key idea behind the adder is that of a mirroring, or an isomorphism, between syntactic relations among numerals and their semantics, namely the relations among the numbers the numerals represent (see §1 above). This idea need not be confined to arithmetic. In their development of modern ‘formal’ ...
1 Artificial Social Intelligence by William Sims Bainbridge
... cognition in recent decades than on social structure, outside of areas like symbolic interactionism and the sociology of knowledge where use of computers is relatively undeveloped. The new interdisciplinary field of Cognitive Science is rooted in AI, and draws upon five more traditional fields: psyc ...
... cognition in recent decades than on social structure, outside of areas like symbolic interactionism and the sociology of knowledge where use of computers is relatively undeveloped. The new interdisciplinary field of Cognitive Science is rooted in AI, and draws upon five more traditional fields: psyc ...
Artificial Intelligence and Responsible Innovation Miles Brundage
... be addressed in the future. Specifically, drawing on work done on AI and the responsible innovation literature, the paper will describe and justify three interrelated aspects of responsible innovation in AI that, jointly, satisfy the definition above and can drive future work: consideration of the ...
... be addressed in the future. Specifically, drawing on work done on AI and the responsible innovation literature, the paper will describe and justify three interrelated aspects of responsible innovation in AI that, jointly, satisfy the definition above and can drive future work: consideration of the ...
The challenge of complexity for cognitive systems
... In the context of AI planning, the complexity of the environment is typically characterized by the following dimensions (Ghallab, Nau, & Traverso, 2004, chap. 1.6): The number of states might be infinite, due to actions which can create new objects or due to numerical variables. States might be only ...
... In the context of AI planning, the complexity of the environment is typically characterized by the following dimensions (Ghallab, Nau, & Traverso, 2004, chap. 1.6): The number of states might be infinite, due to actions which can create new objects or due to numerical variables. States might be only ...
CPSC 7373: Artificial Intelligence
... – ML: is a part of AI. From empirical data, learn patterns or predictions thought to be features of the underlying mechanism that generated data. – DM: the analysis step of the “Knowledge Discovery in Databases” process – KDD. Extract information from a data set and transform it into an understandab ...
... – ML: is a part of AI. From empirical data, learn patterns or predictions thought to be features of the underlying mechanism that generated data. – DM: the analysis step of the “Knowledge Discovery in Databases” process – KDD. Extract information from a data set and transform it into an understandab ...
Printable
... • What sort of bias does Bayesian Learning use? • Typically, simpler hypotheses will have larger priors. • More complex hypotheses will fit data more exactly (but there’s ...
... • What sort of bias does Bayesian Learning use? • Typically, simpler hypotheses will have larger priors. • More complex hypotheses will fit data more exactly (but there’s ...
... attendants for their enthusiastic participation and the program committee—Craig Boutilier, David Etherington, Georg Gotlob, Fangzhen Lin, Ilkka Niemela, and Luis Pereira—for their efforts. Special thanks go to David Etherington for taking care of the local arrangements. Finally, we would like to ack ...
David Bergman Assistant Professor Operations and Information
... OPIM 5272: Business Process Modeling and Data Management. Fall 2013, Spring 2014, Fall 2014. • Required graduate course in the Business Analytics and Project Management M.S. degree program at the University of Connecticut BUS 70-374: Forecasting and Data Mining. Spring 2011. • Undergraduate course i ...
... OPIM 5272: Business Process Modeling and Data Management. Fall 2013, Spring 2014, Fall 2014. • Required graduate course in the Business Analytics and Project Management M.S. degree program at the University of Connecticut BUS 70-374: Forecasting and Data Mining. Spring 2011. • Undergraduate course i ...
Applications of Various Artificial Intelligence Techniques in Software
... INTERNATIONAL JOURNAL FOR RESEARCH IN EMERGING SCIENCE AND TECHNOLOGY, VOLUME-3, ISSUE-3, MAR-2016 ...
... INTERNATIONAL JOURNAL FOR RESEARCH IN EMERGING SCIENCE AND TECHNOLOGY, VOLUME-3, ISSUE-3, MAR-2016 ...
this publication in PDF format
... IBM’s Deep Blue, rated at the time as one of the 300 fastest supercomputers in the world, beat Gary Kasparov, the player generally considered the greatest chess player in history. Deep Blue’s operation was a quintessential example of brute-force search, evaluating some 200 million board positions ea ...
... IBM’s Deep Blue, rated at the time as one of the 300 fastest supercomputers in the world, beat Gary Kasparov, the player generally considered the greatest chess player in history. Deep Blue’s operation was a quintessential example of brute-force search, evaluating some 200 million board positions ea ...
ICT219 Intelligent Systems Unit Information
... quite recent titles, about design, programming as well as psychosocial and economic aspects of the industry. There are also a number of periodicals on this subject, such as the conservative International Computer Games Association Journal and the online Journal of Media and Culture, which is easy to ...
... quite recent titles, about design, programming as well as psychosocial and economic aspects of the industry. There are also a number of periodicals on this subject, such as the conservative International Computer Games Association Journal and the online Journal of Media and Culture, which is easy to ...
Florian
... We are now close to introducing science in this picture. The technological breakthroughs made possible by science in the last few centuries are relatively recent on evolutionary timescales. The cognitive mechanisms that allow us to do science could not be favored by evolution for science itself. Tho ...
... We are now close to introducing science in this picture. The technological breakthroughs made possible by science in the last few centuries are relatively recent on evolutionary timescales. The cognitive mechanisms that allow us to do science could not be favored by evolution for science itself. Tho ...
Learning how to Learn Learning Algorithms: Recursive Self
... algorithm, adaptive Levin search, and incremental self-improvement. Machine Learning 28:105-130, 1997. (Based on 3.) 7. J. Schmidhuber. Gödel machines: Fully Self-Referential Optimal Universal SelfImprovers. In Artificial General Intelligence, p. 119-226, 2006. (Based on TR of 2003.) 8. T. Schaul ...
... algorithm, adaptive Levin search, and incremental self-improvement. Machine Learning 28:105-130, 1997. (Based on 3.) 7. J. Schmidhuber. Gödel machines: Fully Self-Referential Optimal Universal SelfImprovers. In Artificial General Intelligence, p. 119-226, 2006. (Based on TR of 2003.) 8. T. Schaul ...
AI Research to AI Business, and Back: Automatic Story Generation
... The second problem is one that has slowed wide deployment of expert systems in our economy – retrieving all of the pertinent knowledge from an expert and getting it into a machine. This process is difficult and so time-consuming that it is not always practical. Along with others at DDC, have develo ...
... The second problem is one that has slowed wide deployment of expert systems in our economy – retrieving all of the pertinent knowledge from an expert and getting it into a machine. This process is difficult and so time-consuming that it is not always practical. Along with others at DDC, have develo ...