without teaching statement
... Microsoft Research, Redmond, WA, U.S.A. Supervisor: Dr. John Manferdelli, Anti-Piracy Group Worked on Digital Rights Management; designed methods that use control- and data-flow analysis on binary program code to embed hard-to-break license authentication protocols in arbitrary programs. Intern, Vis ...
... Microsoft Research, Redmond, WA, U.S.A. Supervisor: Dr. John Manferdelli, Anti-Piracy Group Worked on Digital Rights Management; designed methods that use control- and data-flow analysis on binary program code to embed hard-to-break license authentication protocols in arbitrary programs. Intern, Vis ...
Chapter 2 Intelligent Agents
... is more flexible because the knowledge that supports its decision is represented explicitly and can be modified • On the other hand, for the reflex-agent, we would have to rewrite many condition-action rules • The goal based agent's behavior can easily be changed • The reflex agent's rules must be c ...
... is more flexible because the knowledge that supports its decision is represented explicitly and can be modified • On the other hand, for the reflex-agent, we would have to rewrite many condition-action rules • The goal based agent's behavior can easily be changed • The reflex agent's rules must be c ...
as a PDF
... provide a thorough review of existing agent architectures. Here only the distinction between deliberative, reactive, and hybrid architectures is briefly highlighted. Wooldridge and Jennings ([67], p. 24) define a deliberative agent architecture “to be one that contains an explicitly represented, sym ...
... provide a thorough review of existing agent architectures. Here only the distinction between deliberative, reactive, and hybrid architectures is briefly highlighted. Wooldridge and Jennings ([67], p. 24) define a deliberative agent architecture “to be one that contains an explicitly represented, sym ...
Framed - Alison Goodman
... that the robot needs a model of its world before it can act in that world successfully. Robots which merely avoid objects when moving around are not considered intelligent. A robot which organises its world or its actions so that it does not have to continually avoid objects, might be considered to ...
... that the robot needs a model of its world before it can act in that world successfully. Robots which merely avoid objects when moving around are not considered intelligent. A robot which organises its world or its actions so that it does not have to continually avoid objects, might be considered to ...
Discoveries from the Black Box - Boulder Institute for Psychotherapy
... accepted, as has the idea that the brain is changing and growing continuously throughout life, shaped as much by experience as genetic heritage. Every passing sensation, everything we learn, every human contact we make causes millions of neurons to fire together, forming physical interconnections ca ...
... accepted, as has the idea that the brain is changing and growing continuously throughout life, shaped as much by experience as genetic heritage. Every passing sensation, everything we learn, every human contact we make causes millions of neurons to fire together, forming physical interconnections ca ...
MS PowerPoint 97/2000 format
... – Type of mixture model depends (in part) on this definition – e.g., o(x) could be softmax (x · w) [Bridle, 1990] • NB: softmax is computed across j = 1, 2, …, k (cf. “hard” max) • Defines (multinomial) pdf over experts [Jordan and Jacobs, 1995] ...
... – Type of mixture model depends (in part) on this definition – e.g., o(x) could be softmax (x · w) [Bridle, 1990] • NB: softmax is computed across j = 1, 2, …, k (cf. “hard” max) • Defines (multinomial) pdf over experts [Jordan and Jacobs, 1995] ...
Redalyc.Rational versus Intuitive Outcomes of Reasoning with
... Almond cake; on the other hand, {Brownie, Cheesecake} satisfies the preference too, as along Cheesecake, the more preferred item is chosen instead of the less preferred one. So both choices {Almond cake, Brownie} and {Brownie, Cheesecake} seem to be equally good, or ‘rational’, in the sense that bot ...
... Almond cake; on the other hand, {Brownie, Cheesecake} satisfies the preference too, as along Cheesecake, the more preferred item is chosen instead of the less preferred one. So both choices {Almond cake, Brownie} and {Brownie, Cheesecake} seem to be equally good, or ‘rational’, in the sense that bot ...
Levels of Organization in General Intelligence
... postulate that Eurisko was treated as a failed hypothesis, or even as a competing hypothesis, rather than an incremental success or a reusable tool. Lenat tried self-optimizing heuristics and they failed to yield intelligence; onward, then, to Cyc, the next hypothesis! The most common paradigms of t ...
... postulate that Eurisko was treated as a failed hypothesis, or even as a competing hypothesis, rather than an incremental success or a reusable tool. Lenat tried self-optimizing heuristics and they failed to yield intelligence; onward, then, to Cyc, the next hypothesis! The most common paradigms of t ...
2012 version HERE . - School of Computer Science
... Broadening the information-processing context How often do proponents of one or other mode of teaching beginners reading consider the later stages of reading expertise? • An expert reader does not produce noises while reading: words and phrases are linked internally to meanings. Think computational ...
... Broadening the information-processing context How often do proponents of one or other mode of teaching beginners reading consider the later stages of reading expertise? • An expert reader does not produce noises while reading: words and phrases are linked internally to meanings. Think computational ...
Computational Intelligence: Neural Networks and
... learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, bioinformatics and biomedicine, and engineering applications. IEEE International Conference on Systems Man and Cybernetics (SMC). Aims and scope are indicated next. SMC provides an international forum tha ...
... learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, bioinformatics and biomedicine, and engineering applications. IEEE International Conference on Systems Man and Cybernetics (SMC). Aims and scope are indicated next. SMC provides an international forum tha ...
ppt - people.csail.mit.edu
... short term memory • Robot can perform “find the toma” of objects and their locations so “out of sight” is not “out of mind” ...
... short term memory • Robot can perform “find the toma” of objects and their locations so “out of sight” is not “out of mind” ...
Introduction to Artificial Intelligence State Space Search
... – The order of expanding the nodes is arbitrary – Blind search does not use any properties of the problem being solved – Result is the combinatorial explosion ...
... – The order of expanding the nodes is arbitrary – Blind search does not use any properties of the problem being solved – Result is the combinatorial explosion ...
i think, therefore i invent: creative computers and the future of patent
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
Expert System Used on Materials Processing
... Artificial neural networks (ANN) called sometimes simply neural networks (NN) are formed from groups of artificial neurons, interconnected between them, which based on an algorithm process the received information. Practically networks are work instruments that make a regression analysis on the data ...
... Artificial neural networks (ANN) called sometimes simply neural networks (NN) are formed from groups of artificial neurons, interconnected between them, which based on an algorithm process the received information. Practically networks are work instruments that make a regression analysis on the data ...
A Project on Gesture Recognition with Neural Networks for
... them since we list too many of them for a project of a reasonable size and some of them are difficult research questions. (Questions tagged with asterisks are the ones that we tend to use in our own projects.) Teachers also need to provide information on what the students need to submit for their pr ...
... them since we list too many of them for a project of a reasonable size and some of them are difficult research questions. (Questions tagged with asterisks are the ones that we tend to use in our own projects.) Teachers also need to provide information on what the students need to submit for their pr ...
Spring-99 Registration
... entertainment provides new challenges for the AI research community. Increased communication could therefore benefit both communities. This Spring Symposium is intended to bring together AI researchers and professionals from the entertainment software industry. It will provide a forum to explore mut ...
... entertainment provides new challenges for the AI research community. Increased communication could therefore benefit both communities. This Spring Symposium is intended to bring together AI researchers and professionals from the entertainment software industry. It will provide a forum to explore mut ...
the first of a series of anthropomimetic musculoskeletal upper torsos
... interactions such robots can engage in, on the knowledge they can acquire of their environment, and therefore on the nature of their cognitive engagement with the environment. The reasoning behind the complex platform described here is that an anthropomimetic (truly human-like) robot body will facil ...
... interactions such robots can engage in, on the knowledge they can acquire of their environment, and therefore on the nature of their cognitive engagement with the environment. The reasoning behind the complex platform described here is that an anthropomimetic (truly human-like) robot body will facil ...
A Successful Interdisciplinary Course on Computational Intelligence
... systems. The paradigms covered are artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), neural networks (NNs) and swarm intelligence (SI). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids ...
... systems. The paradigms covered are artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), neural networks (NNs) and swarm intelligence (SI). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids ...
Computational Media and New Literacies—The
... humans’ impressive spatial and dynamic interactive capabilities far more than conventional literacy does. I have much more to say about these issues later, mainly in chapters 4, 5, and 8. New computational inscription systems should therefore build on strengths in human mental capacities, and they m ...
... humans’ impressive spatial and dynamic interactive capabilities far more than conventional literacy does. I have much more to say about these issues later, mainly in chapters 4, 5, and 8. New computational inscription systems should therefore build on strengths in human mental capacities, and they m ...
Grounding and Solving in Answer Set Programming
... The instantiation is infinite; indeed the grounding of the recursive rule, at the first iteration adds to the set of extensions S the ground atom p(f(0)), that is used in the next iteration, producing p(f(f(0)) and so on. Despite this, grounders like the one in dlv and gringo allow to deal with recu ...
... The instantiation is infinite; indeed the grounding of the recursive rule, at the first iteration adds to the set of extensions S the ground atom p(f(0)), that is used in the next iteration, producing p(f(f(0)) and so on. Despite this, grounders like the one in dlv and gringo allow to deal with recu ...
paradigm shift: engineering artificial intelligence and management
... determine success or failure (Aharony & Noy 2009). The AI system will learn how to sort pertinent information from extraneous data with each successive trial. Instead of humans dwelling over large aggregates of data attempting to discern the most cost effective or efficient route of action, strategi ...
... determine success or failure (Aharony & Noy 2009). The AI system will learn how to sort pertinent information from extraneous data with each successive trial. Instead of humans dwelling over large aggregates of data attempting to discern the most cost effective or efficient route of action, strategi ...
98 photograph release
... (1) To copyright the same in AAAI's own name or any other name that AAAI may choose; (2) To use, re-use, publish, re-publish and modify the same in whole or in part, individually or in conjunction with other photographs or images, in any or all media now known or hereafter developed and for any purp ...
... (1) To copyright the same in AAAI's own name or any other name that AAAI may choose; (2) To use, re-use, publish, re-publish and modify the same in whole or in part, individually or in conjunction with other photographs or images, in any or all media now known or hereafter developed and for any purp ...
RobotTeam10 Photo Release Form 1
... (1) To copyright the same in AAAI's own name or any other name that AAAI may choose; (2) To use, re-use, publish, re-publish and modify the same in whole or in part, individually or in conjunction with other photographs or images, in any or all media now known or hereafter developed and for any purp ...
... (1) To copyright the same in AAAI's own name or any other name that AAAI may choose; (2) To use, re-use, publish, re-publish and modify the same in whole or in part, individually or in conjunction with other photographs or images, in any or all media now known or hereafter developed and for any purp ...
Knowledge Representation in Artificial Intelligence using
... Keywords: Knowledge Representation, Reasoning mechanism, Expert system, Artificial Intelligence ...
... Keywords: Knowledge Representation, Reasoning mechanism, Expert system, Artificial Intelligence ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑