Execution monitoring in robotics: A survey
... example of such an occasion is when the robot has no knowledge about what is behind a closed door. In some cases a used resource can be faulty. Examples of unreliable resources are a broken driving shaft, or a given map that is old and out of date. When measuring some physical quantity, there is alw ...
... example of such an occasion is when the robot has no knowledge about what is behind a closed door. In some cases a used resource can be faulty. Examples of unreliable resources are a broken driving shaft, or a given map that is old and out of date. When measuring some physical quantity, there is alw ...
The Hanson-Yudkowsky AI-Foom Debate
... builders and users. Small teams have at times suddenly acquired disproportionate power, and I’m sure their associates who anticipated this possibility used the usual human ways to consider that team’s “friendliness.” But I can’t recall a time when such sudden small team power came from an UberTool s ...
... builders and users. Small teams have at times suddenly acquired disproportionate power, and I’m sure their associates who anticipated this possibility used the usual human ways to consider that team’s “friendliness.” But I can’t recall a time when such sudden small team power came from an UberTool s ...
Logic and Artificial Intelligence - EECS @ Michigan
... and to this day remains relatively uninterested in such applications. The methodology depends on intuitions, but without any generally accepted methodology for articulating and deploying these intuitions. And the ideas are illustrated and informed by artificial, smallscale examples.5 In general, the ...
... and to this day remains relatively uninterested in such applications. The methodology depends on intuitions, but without any generally accepted methodology for articulating and deploying these intuitions. And the ideas are illustrated and informed by artificial, smallscale examples.5 In general, the ...
Artificial Intelligence and Expert Systems
... requires a lengthy process of apprenticeship; even so, expertise can never be duplicated completely. However, when knowledge is embodies in a computer system, it can be copies from what computer and easily moved to another computer, sometimes across the globe. Fall, 2007 ...
... requires a lengthy process of apprenticeship; even so, expertise can never be duplicated completely. However, when knowledge is embodies in a computer system, it can be copies from what computer and easily moved to another computer, sometimes across the globe. Fall, 2007 ...
Automatic Melakarta Raaga Identification Syste Carnatic
... run time, it is considered a Lazy Learning technique. Because classification is based directly on the training examples it is also called Example-Based Classification or Case-Based Classification. The basic idea is as shown in Figure 1 which depicts a 3Nearest Neighbour Classifier on a two-class pro ...
... run time, it is considered a Lazy Learning technique. Because classification is based directly on the training examples it is also called Example-Based Classification or Case-Based Classification. The basic idea is as shown in Figure 1 which depicts a 3Nearest Neighbour Classifier on a two-class pro ...
AISB/IACAP World Congress 2012 Natural Computing
... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
AISB/IACAP World Congress 2012 Natural Computing
... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
Program booklet
... We are excited to welcome you to one of the most vibrant scientific events in the field of Artificial Intelligence. The IJCAI conference is not only the oldest major AI conference. It is also one of the most active, with presentations, workshops, tutorials, and competitions spanning almost all areas ...
... We are excited to welcome you to one of the most vibrant scientific events in the field of Artificial Intelligence. The IJCAI conference is not only the oldest major AI conference. It is also one of the most active, with presentations, workshops, tutorials, and competitions spanning almost all areas ...
Curriculum vitaeWEB_Feb2015 - Técnico Lisboa
... using feature selection methods, it was possible to identify some important features related to their condition. September 2009 - November 2009 Invited teacher at Erasmus University of Rotterdam, Erasmus School of Economics, Econometric Institute, Netherlands. Master course taught: Computational Int ...
... using feature selection methods, it was possible to identify some important features related to their condition. September 2009 - November 2009 Invited teacher at Erasmus University of Rotterdam, Erasmus School of Economics, Econometric Institute, Netherlands. Master course taught: Computational Int ...
Artificial Intelligence – Agents and Environments
... Artificial Intelligence is a complex, yet intriguing, subject. If we were to use an analogy to describe the study of Artificial Intelligence, then we could perhaps liken it to a landscape, whose ever changing picture is being shaped and reshaped by man over time (in order to highlight how it is cont ...
... Artificial Intelligence is a complex, yet intriguing, subject. If we were to use an analogy to describe the study of Artificial Intelligence, then we could perhaps liken it to a landscape, whose ever changing picture is being shaped and reshaped by man over time (in order to highlight how it is cont ...
Baseball Prediction Using Ensemble Learning by Arlo Lyle (Under
... work in performance prediction uses purely statistical methods, this thesis showcases research in combining multiple machine learning techniques to improve on current prediction systems by increasing the accuracy of projections in several key offensive statistical categories. By using the statistics ...
... work in performance prediction uses purely statistical methods, this thesis showcases research in combining multiple machine learning techniques to improve on current prediction systems by increasing the accuracy of projections in several key offensive statistical categories. By using the statistics ...
Heuristic Search Comes of Age
... used to plan character movement in virtual worlds. The entire search graph representing the world usually fits in memory. Given both the real-time constraints of games and aesthetic considerations, the task is not to find an optimal solution, but a reasonable path between any two states in the state ...
... used to plan character movement in virtual worlds. The entire search graph representing the world usually fits in memory. Given both the real-time constraints of games and aesthetic considerations, the task is not to find an optimal solution, but a reasonable path between any two states in the state ...
LNCS 3258 - Full Dynamic Substitutability by SAT Encoding
... ! new encoding is the multivalued encoding plus clauses of the form xvi ∨ (w,j)∈Kvi xwj for each variable v and value i, where Kvi is the set of pairs (w, j) such that there exists a conflict (v = i, w = j). We call these maximality (MAX) clauses because they force a maximal number of assignments to ...
... ! new encoding is the multivalued encoding plus clauses of the form xvi ∨ (w,j)∈Kvi xwj for each variable v and value i, where Kvi is the set of pairs (w, j) such that there exists a conflict (v = i, w = j). We call these maximality (MAX) clauses because they force a maximal number of assignments to ...
Multi-Agent Path Finding with Kinematic Constraints
... events v and v 0 indicating that event v must be scheduled between LB(e) and U B(e) time units before event v 0 . We add two additional vertices. XS represents the start event and therefore has edges annotated with the STN bounds [0, 0] to all vertices without incoming edges. Similarly, XF represent ...
... events v and v 0 indicating that event v must be scheduled between LB(e) and U B(e) time units before event v 0 . We add two additional vertices. XS represents the start event and therefore has edges annotated with the STN bounds [0, 0] to all vertices without incoming edges. Similarly, XF represent ...
Knowledge Engineering 2017
... Of these four areas, the basic horsepower problems of computing "engines" is the easiest to tackle. Computer processing capability has crossed the billioninstructions-per-second barrier. Computer memory now exceeds a billion bits. Communications technology now easily exceeds a billion bits per secon ...
... Of these four areas, the basic horsepower problems of computing "engines" is the easiest to tackle. Computer processing capability has crossed the billioninstructions-per-second barrier. Computer memory now exceeds a billion bits. Communications technology now easily exceeds a billion bits per secon ...
My Resume (in pdf)
... with Phrase Entailment and Aggregation.”, In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL2013), pages 179-189, Atlanta, USA (2013). ...
... with Phrase Entailment and Aggregation.”, In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL2013), pages 179-189, Atlanta, USA (2013). ...
Description of Attraction-Repulsion Forces by
... In recent years, considerable researches have been performed on multi-agent systems and specially swarm intelligence. This field of research is currently recognized as a promising applied paradigm in distributed artificial intelligence. Swarm intelligence have a very wide range of applications from ...
... In recent years, considerable researches have been performed on multi-agent systems and specially swarm intelligence. This field of research is currently recognized as a promising applied paradigm in distributed artificial intelligence. Swarm intelligence have a very wide range of applications from ...
Universal Artificial Intelligence
... - coincides (always?) with our intuitive guess -or- even better, - which is (in some sense) most likely the best or correct answer? • Yes! Occam’s razor: Use the simplest explanation consistent with past data (and use it for prediction). • Works! For examples presented and for many more. • Actually ...
... - coincides (always?) with our intuitive guess -or- even better, - which is (in some sense) most likely the best or correct answer? • Yes! Occam’s razor: Use the simplest explanation consistent with past data (and use it for prediction). • Works! For examples presented and for many more. • Actually ...
Dr. Person′s Curriculum Vitae
... Group (2001). Evaluating student learning gains in two versions of AutoTutor. In J. D. Moore, C. L. Redfield, & W. L. Johnson (Eds.) Artificial intelligence in education: AI-ED in the wired and wireless future (pp. 286-293). Amsterdam, IOS Press. Person, N. K., Gholson, B., Craig, S. D., Hu, X., Ste ...
... Group (2001). Evaluating student learning gains in two versions of AutoTutor. In J. D. Moore, C. L. Redfield, & W. L. Johnson (Eds.) Artificial intelligence in education: AI-ED in the wired and wireless future (pp. 286-293). Amsterdam, IOS Press. Person, N. K., Gholson, B., Craig, S. D., Hu, X., Ste ...
Easy Problems are Sometimes Hard
... determining the satisfiability of propositional formulae, there are also regions in which problems are usually easy but sometimes extraordinarily hard. The same effect appears to have been observed for graph colouring [8]. Random 3-SAT (this and other problem classes are described in Section 2) unde ...
... determining the satisfiability of propositional formulae, there are also regions in which problems are usually easy but sometimes extraordinarily hard. The same effect appears to have been observed for graph colouring [8]. Random 3-SAT (this and other problem classes are described in Section 2) unde ...
Unifying Instance-Based and Rule
... Spears, 1995). Without doubt there are many domains in the former set that are not in the latter, and average accuracy in the real-world domains can be increased at the expense of accuracy in the domains that never occur in practice. Indeed, achieving this is, in a nutshell, the goal of inductive le ...
... Spears, 1995). Without doubt there are many domains in the former set that are not in the latter, and average accuracy in the real-world domains can be increased at the expense of accuracy in the domains that never occur in practice. Indeed, achieving this is, in a nutshell, the goal of inductive le ...
On the Implementation of MIPS
... Several approaches have been proposed to improve the efficiency in calculating the image of a set of states according to a transition function. The daunting problem is that even it the input and the output representations are small the representation during the computation may be larger by magnitude ...
... Several approaches have been proposed to improve the efficiency in calculating the image of a set of states according to a transition function. The daunting problem is that even it the input and the output representations are small the representation during the computation may be larger by magnitude ...
AI#Kindergarten:.A.method.for.developing.biological#like.artificial
... One!of!the!fundamental!implications!of!triRtraversal!theory!is!that!efficient!cognitive! operations!cannot!be!implemented!solely!by!computational!mechanisms!i.e.,!by! manipulation!of!symbols.!Rather,!according!to!the!theory,!to!make!mental!operations! intellectually!powerful—meaning!to!achieve!high! ...
... One!of!the!fundamental!implications!of!triRtraversal!theory!is!that!efficient!cognitive! operations!cannot!be!implemented!solely!by!computational!mechanisms!i.e.,!by! manipulation!of!symbols.!Rather,!according!to!the!theory,!to!make!mental!operations! intellectually!powerful—meaning!to!achieve!high! ...