CS-01-13 - Department of Computer Science
... ineffective on unstructured texts (e.g. free texts). This is because such methodologies make scarce (or no) use of NLP, tending to avoid any generalization over the flat word sequence tending to be ineffective on free texts, for example because of data sparseness [Ciravegna 2001b]. The challenge is ...
... ineffective on unstructured texts (e.g. free texts). This is because such methodologies make scarce (or no) use of NLP, tending to avoid any generalization over the flat word sequence tending to be ineffective on free texts, for example because of data sparseness [Ciravegna 2001b]. The challenge is ...
Integrating Logical Reasoning into Everyday Applications AAAI Press
... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
2012 version HERE . - School of Computer Science
... our learners the same small subset: that will starve the culture of important ideas not taught. In particular, don’t always choose programming languages, development tools, and programming examples as if you were educating future software engineers, applicants for computer science at university, or ...
... our learners the same small subset: that will starve the culture of important ideas not taught. In particular, don’t always choose programming languages, development tools, and programming examples as if you were educating future software engineers, applicants for computer science at university, or ...
Automatic Extraction of Efficient Axiom Sets from Large Knowledge
... extremes, we can study the ease of navigability of a family of search spaces. When m is low, short paths between nodes do not exist. As we increase m, the connectivity of graph improves. After a particular threshold, there are too many potential paths in the graph and relevant/short paths are diffic ...
... extremes, we can study the ease of navigability of a family of search spaces. When m is low, short paths between nodes do not exist. As we increase m, the connectivity of graph improves. After a particular threshold, there are too many potential paths in the graph and relevant/short paths are diffic ...
Patiency Is Not a Virtue: AI and the Design of Ethical Systems
... same principle as that unenforceable laws are not useful (McNeilly, 1968). 2. Where possible there should be minimal restructuring of existing norms, so that introduction of new norms will be less likely to create social disruption or long-term instability. This is based on the example of Common Law ...
... same principle as that unenforceable laws are not useful (McNeilly, 1968). 2. Where possible there should be minimal restructuring of existing norms, so that introduction of new norms will be less likely to create social disruption or long-term instability. This is based on the example of Common Law ...
Lecture 6
... • Intelligent behaviour (among other things) requires the ability to plan and to learn. The routine implementation of these abilities is a long way off, so they are rarely seen in computer games. Rather, what we do see is the incorporation of simple and robust techniques from AI that make it easier ...
... • Intelligent behaviour (among other things) requires the ability to plan and to learn. The routine implementation of these abilities is a long way off, so they are rarely seen in computer games. Rather, what we do see is the incorporation of simple and robust techniques from AI that make it easier ...
AI and Cinema - Does artificial insanity rule?
... sophisticated reasoning mechanisms are equivalent (i.e. there is nothing that you can conclude using one method that can’t be concluded when using another method, although you might be able to do it faster using some methods). The mechanisms have also been proven mathematically to be fundamentally l ...
... sophisticated reasoning mechanisms are equivalent (i.e. there is nothing that you can conclude using one method that can’t be concluded when using another method, although you might be able to do it faster using some methods). The mechanisms have also been proven mathematically to be fundamentally l ...
Information Technology and its impacts
... economy and efficiency the trustees of Columbia University have decided to disband the Office of University Admissions and to install in its place a thinking machine to be called the Electronic Director of Admissions. Installation was completed in the spring of 1964, and since then the Director has ...
... economy and efficiency the trustees of Columbia University have decided to disband the Office of University Admissions and to install in its place a thinking machine to be called the Electronic Director of Admissions. Installation was completed in the spring of 1964, and since then the Director has ...
Can Machines Think - New York University
... another, that it would cry that it was hurt, and so on for similar things. But it could never modify its phrases to reply to the sense of whatever was said in its presence, as even the most stupid men can do. This seemed obvious to Descartes in the seventeenth century, but of course the fanciest mac ...
... another, that it would cry that it was hurt, and so on for similar things. But it could never modify its phrases to reply to the sense of whatever was said in its presence, as even the most stupid men can do. This seemed obvious to Descartes in the seventeenth century, but of course the fanciest mac ...
University of Bergen - BORA
... In a similar manner, scientists, engineers, programmers and researchers, as well as the general public, can become inspired by the representations projected in fictional narratives. To realize what has never been created, thought of or experienced, it has to be imagined. Throughout the centuries, sc ...
... In a similar manner, scientists, engineers, programmers and researchers, as well as the general public, can become inspired by the representations projected in fictional narratives. To realize what has never been created, thought of or experienced, it has to be imagined. Throughout the centuries, sc ...
Spring Symposium Series - Association for the Advancement of
... learned, and which learning strategies are appropriate in a given context. This focusing process may take place at any decision point during learning—-for example, when determining what to learn, selecting a bias, pruning the space of theories to be considered, or generating experiments for data gat ...
... learned, and which learning strategies are appropriate in a given context. This focusing process may take place at any decision point during learning—-for example, when determining what to learn, selecting a bias, pruning the space of theories to be considered, or generating experiments for data gat ...
Cognitive Systems: Insights, Examples, Systems — Report
... unlike traditional “perception-thinking-action” control strategies – take into account the relations between actions and associated changes in sensory input. ...
... unlike traditional “perception-thinking-action” control strategies – take into account the relations between actions and associated changes in sensory input. ...
CSE841 Artificial Intelligence 1 Objectives 2 Textbooks
... Rather than present AI as a loose collection of ideas and techniques, this course will strive to emphasize important unifying themes that occur throughout many areas of AI research. Further, to take advantages of recent exciting multidisciplinary advances in understanding and modeling the brain and ...
... Rather than present AI as a loose collection of ideas and techniques, this course will strive to emphasize important unifying themes that occur throughout many areas of AI research. Further, to take advantages of recent exciting multidisciplinary advances in understanding and modeling the brain and ...
Specialized Business Information Systems
... Principles and Learning Objectives • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems. – Define the term artificial intelligence and state the objective of developing artificial intelligence s ...
... Principles and Learning Objectives • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems. – Define the term artificial intelligence and state the objective of developing artificial intelligence s ...
UNIT-6
... expert, expert systems learn from the process of being used, so their databases must be capable of growing dynamically. Also, an expert system should include the capability of interrogating the user to get additional information when it determines that such information is needed. One of the central ...
... expert, expert systems learn from the process of being used, so their databases must be capable of growing dynamically. Also, an expert system should include the capability of interrogating the user to get additional information when it determines that such information is needed. One of the central ...
Course Introduction
... Although we will touch upon the philosophical issues we will not dwell on this area of AI. • This course is more concerned with writing useful AI programs than discussing if a computer is intelligent or not. ...
... Although we will touch upon the philosophical issues we will not dwell on this area of AI. • This course is more concerned with writing useful AI programs than discussing if a computer is intelligent or not. ...
Executive Summary - The IEEE Standards Association
... We need to make sure that these technologies are aligned to humans in terms of our moral values and ethical principles. AI/AS have to behave in a way that is beneficial to people beyond reaching functional goals and addressing technical problems. This will allow for an elevated level of trust betwe ...
... We need to make sure that these technologies are aligned to humans in terms of our moral values and ethical principles. AI/AS have to behave in a way that is beneficial to people beyond reaching functional goals and addressing technical problems. This will allow for an elevated level of trust betwe ...
Lessons from a Restricted Turing Test The Turing Test
... The prize committee spent almost two years in planning the structure of the tournament. Because this was to be a real competition, rather than a thought experiment, there would be several computer contestants, and therefore several confederates would be needed as well. It was decided that there woul ...
... The prize committee spent almost two years in planning the structure of the tournament. Because this was to be a real competition, rather than a thought experiment, there would be several computer contestants, and therefore several confederates would be needed as well. It was decided that there woul ...
Extending Data Processing Capabilities of Relational Database
... Decomposing the three main components of a Jelly View : External Matching, Internal Matching and Logic Program, is a crucial problem. They must comply with the relational model. One possible approach is illustrated in the ER diagram in Fig. 1. External Matching matches a relation name and a clause n ...
... Decomposing the three main components of a Jelly View : External Matching, Internal Matching and Logic Program, is a crucial problem. They must comply with the relational model. One possible approach is illustrated in the ER diagram in Fig. 1. External Matching matches a relation name and a clause n ...
Neural Networks
... for each node i in the output layer do Dj g’(inj) i Wji Di for l = M – 1 to 1 do for each node j in layer l do Dj g’(inj) i Wj,i Di for each node i in layer l + 1 do Wj,i Wj,i + a x aj x Di until some stopping criterion is satisfied return NEURAL-NET-HYPOTHESIS(network) [Russell, Norvig] Fig ...
... for each node i in the output layer do Dj g’(inj) i Wji Di for l = M – 1 to 1 do for each node j in layer l do Dj g’(inj) i Wj,i Di for each node i in layer l + 1 do Wj,i Wj,i + a x aj x Di until some stopping criterion is satisfied return NEURAL-NET-HYPOTHESIS(network) [Russell, Norvig] Fig ...
Advanced Intelligent Systems
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...
Chapter 2 Decision-Making Systems, Models, and Support
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...
Neural Networks
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...
... Compare each solution’s fitness function to total Apply crossover Apply random mutation Repeat until good enough solution or no improvement ...