Artificial Intelligence academic programmes in the Netherlands
... In 2013 eighteen Artificial Intelligence programmes at six Dutch universities were visited by a specially appointed external Education Assessment Committee. The committee’s task was to evaluate whether the quality of the programmes was satisfactory for re-accreditation. The committee was pleased to ...
... In 2013 eighteen Artificial Intelligence programmes at six Dutch universities were visited by a specially appointed external Education Assessment Committee. The committee’s task was to evaluate whether the quality of the programmes was satisfactory for re-accreditation. The committee was pleased to ...
Learning Abductive Reasoning Using Random Examples
... We can refer directly to notions of (approximate) “validity” and “entailment” in this model because we assume that we have completely specified examples, on which the various formulas can be evaluated directly, much as in modelbased reasoning (Kautz, Kearns, and Selman 1995).1 We stress that all of ...
... We can refer directly to notions of (approximate) “validity” and “entailment” in this model because we assume that we have completely specified examples, on which the various formulas can be evaluated directly, much as in modelbased reasoning (Kautz, Kearns, and Selman 1995).1 We stress that all of ...
Gearing up for Effective ASP Planning
... Institute for Integrated and Intelligent Systems at Griffith University, Australia. ...
... Institute for Integrated and Intelligent Systems at Griffith University, Australia. ...
A First Study of Fuzzy Cognitive Maps Learning Using Particle
... the area around zero. In our approach, the value λ = 1 has been used. This function is selected since the values Ai of the concepts, by definition, must lie within [0, 1]. The interaction of the FCM results after a few iterations in a steady state, i.e. the values of the concepts are not modified fu ...
... the area around zero. In our approach, the value λ = 1 has been used. This function is selected since the values Ai of the concepts, by definition, must lie within [0, 1]. The interaction of the FCM results after a few iterations in a steady state, i.e. the values of the concepts are not modified fu ...
Automatic Genre-Dependent Composition using Answer Set
... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
Cognitive models of grammatical competence of students
... knowledge of learners and their judgments about the rightness or wrongness of his or someone else’s grammaticality. While grammatical knowledge depends on the rules of grammar, grammar skills depend on the intensity of training exercises, and the grammatical intuition depends on the breadth and scop ...
... knowledge of learners and their judgments about the rightness or wrongness of his or someone else’s grammaticality. While grammatical knowledge depends on the rules of grammar, grammar skills depend on the intensity of training exercises, and the grammatical intuition depends on the breadth and scop ...
Forward and Backward Chaining
... when there tend to be lots of different rules which allow you to draw the same conclusion Backward chaining may be better if you are trying to prove a single fact, given a large set of initial facts, and where, if you used forward chaining, lots of rules would be eligible to fire in any cycle. ...
... when there tend to be lots of different rules which allow you to draw the same conclusion Backward chaining may be better if you are trying to prove a single fact, given a large set of initial facts, and where, if you used forward chaining, lots of rules would be eligible to fire in any cycle. ...
Planning with Tests, Branches, and Non
... We describe the encoding for the case of atomic actions and fluents. Parameterized operators can be handled by instantiation followed by translation. Each fluent p is is represented by a pair of predicates, Kp and K¬p, that stand for the system’s knowledge state regarding the proposition. These know ...
... We describe the encoding for the case of atomic actions and fluents. Parameterized operators can be handled by instantiation followed by translation. Each fluent p is is represented by a pair of predicates, Kp and K¬p, that stand for the system’s knowledge state regarding the proposition. These know ...
Negation Without Negation in Probabilistic Logic Programming
... pendently, each pi : ni is converted to ni with probability pi and omitted with probability 1 − pi . The unique stablemodel semantics provides a semantics of a unique model for each DPR. This provides R with a semantics of a distribution over models, which represents a joint distribution of the var ...
... pendently, each pi : ni is converted to ni with probability pi and omitted with probability 1 − pi . The unique stablemodel semantics provides a semantics of a unique model for each DPR. This provides R with a semantics of a distribution over models, which represents a joint distribution of the var ...
What is “formal logic”? - Jean
... The idea is that empirical sciences have to do with experience, contact with the “external world”. One fundamental idea of Kant is that mathematics is not an empirical science, because it is based on pure intuitions of space and time, which are not part of the world but shape the world. Logic also h ...
... The idea is that empirical sciences have to do with experience, contact with the “external world”. One fundamental idea of Kant is that mathematics is not an empirical science, because it is based on pure intuitions of space and time, which are not part of the world but shape the world. Logic also h ...
THE ROLES AND GOALS OF INFORMATION TECHNOLOGY
... a year in research and development. Information within the company is stored in more than a dozen databases. The researchers also need information that’s on the Web. The company set up a collaboration system to make is easier for researchers to find what they need. This saves time resulting in ...
... a year in research and development. Information within the company is stored in more than a dozen databases. The researchers also need information that’s on the Web. The company set up a collaboration system to make is easier for researchers to find what they need. This saves time resulting in ...
PDF - 1.4 MB - Massachusetts Institute of Technology
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write firstorder logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Therefo ...
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write firstorder logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Therefo ...
Artificial Intelligence and Large-Scope Science
... Challenges and opportunities for Artificial Intelligence ...
... Challenges and opportunities for Artificial Intelligence ...
Reconstructing Physical Symbol Systems
... relations determine what object is designated by a complex expression. (Newell & Simon, 1976, p. 116). Another reason to make symbols arbitrary is so that the problem of inference cannot be finessed by stipulating special causal properties of symbols with just the right shapes. Arbitrariness insures ...
... relations determine what object is designated by a complex expression. (Newell & Simon, 1976, p. 116). Another reason to make symbols arbitrary is so that the problem of inference cannot be finessed by stipulating special causal properties of symbols with just the right shapes. Arbitrariness insures ...
Synthetic Worlds and the Future of Creative Writing
... Fenwick Gibsen ate breakfast with his wife each and every morning before commuting to his office. Suzannah Gibsen, Fenwick well knew, was a bit of a retro health nut; in fact, to say “a bit” was to understate the matter rather dramatically. She insisted on each of them consuming, side by side in the ...
... Fenwick Gibsen ate breakfast with his wife each and every morning before commuting to his office. Suzannah Gibsen, Fenwick well knew, was a bit of a retro health nut; in fact, to say “a bit” was to understate the matter rather dramatically. She insisted on each of them consuming, side by side in the ...
The Isabelle Framework - Software and Systems Engineering
... Isabelle/Pure is a minimal version of higher-order logic; object-logics are specified by stating their characteristic rules as new axioms. Any later additions in application theories are usually restricted to definitional specifications, and the desired properties are being proven explicitly. Workin ...
... Isabelle/Pure is a minimal version of higher-order logic; object-logics are specified by stating their characteristic rules as new axioms. Any later additions in application theories are usually restricted to definitional specifications, and the desired properties are being proven explicitly. Workin ...
Artificial Intelligence A Brief Introduction
... mathematical expressions provide precise description of the system. For systems that are a little more complex, but for which significant data exists, model free methods such as artificial ANNs, provide a powerful and robust means to reduce uncertainty through learning. For most complex systems wher ...
... mathematical expressions provide precise description of the system. For systems that are a little more complex, but for which significant data exists, model free methods such as artificial ANNs, provide a powerful and robust means to reduce uncertainty through learning. For most complex systems wher ...
AI Magazine - Spring 2016
... lan Turing (Turing 1950) approached the abstract question can machines think? by replacing it with another, namely can a machine pass the imitation game (the Turing test). In the years since, this test has been criticized as being a poor replacement for the original enquiry (for example, Hayes and F ...
... lan Turing (Turing 1950) approached the abstract question can machines think? by replacing it with another, namely can a machine pass the imitation game (the Turing test). In the years since, this test has been criticized as being a poor replacement for the original enquiry (for example, Hayes and F ...
Case Representation Issues for Case
... ensemble will plateau as will the accuracy of the ensemble at some size between 10 and 50 members. In ML research it is well known that ensembling will improve the performance of unstable learners. Unstable learners are learners where small changes in the training data can produce quite different mo ...
... ensemble will plateau as will the accuracy of the ensemble at some size between 10 and 50 members. In ML research it is well known that ensembling will improve the performance of unstable learners. Unstable learners are learners where small changes in the training data can produce quite different mo ...
nπ nπ - Department of Computer Science
... parent contexts and provide an algorithm that exploits this compactness. The representation is in terms of rules that provide conditional probabilities in different contexts. The algorithm is based on eliminating the variables not needed in an answer in turn. The operations for eliminating a variabl ...
... parent contexts and provide an algorithm that exploits this compactness. The representation is in terms of rules that provide conditional probabilities in different contexts. The algorithm is based on eliminating the variables not needed in an answer in turn. The operations for eliminating a variabl ...
What is AI?
... • No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) • During the 1991 Gulf War, US forces deployed an AI logistics planning and scheduling program that involved up to 50,000 vehicles, cargo, and people ...
... • No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) • During the 1991 Gulf War, US forces deployed an AI logistics planning and scheduling program that involved up to 50,000 vehicles, cargo, and people ...
information society technologies
... discipline, concerning artificial systems [Simon 87] that combine perception, action and reasoning. As a scientific discipline, Cognitive Systems seeks to provide an enabling technology for robotics and automation, natural language understanding, man-machine interaction and complex systems. However ...
... discipline, concerning artificial systems [Simon 87] that combine perception, action and reasoning. As a scientific discipline, Cognitive Systems seeks to provide an enabling technology for robotics and automation, natural language understanding, man-machine interaction and complex systems. However ...
INTELLIGENT REASONING ON NATURAL
... are initially so flexible that they can represent and combine different data modalities (shapes, colors, sounds, meanings) within the same ontology when they are infants. Though human knowledge representations may be specialized as we grow up, our analogy making and even creativity skills seem relat ...
... are initially so flexible that they can represent and combine different data modalities (shapes, colors, sounds, meanings) within the same ontology when they are infants. Though human knowledge representations may be specialized as we grow up, our analogy making and even creativity skills seem relat ...