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The conceptualization of time in computing
The conceptualization of time in computing

... There are differences between the conceptualization of time in computing systems and the human conceptualization of time. At the most basic level in computing, time is synonymous with performance and speed. At the next level in computing, there are “more kinds of time” than in the human and physics ...
chapter - FSU Computer Courses for Non
chapter - FSU Computer Courses for Non

... IBM’s BlueGene/L - 70.72 teraflops NASA’s Columbia - 51.87 teraflops NEC’s Earth Simulator - 35.86 teraflops ...
Introduction to AI (COMP-424) - McGill School Of Computer Science
Introduction to AI (COMP-424) - McGill School Of Computer Science

... The five robots that successfully navigated a 132-mile course in the Nevada desert last weekend demonstrated the re-emergence of artificial intelligence [...] The winning robot, named Stanley, covered the unpaved course in just 6 hours and 53 minutes without human intervention and guided only by glo ...
Preface
Preface

... Friedrich-Bergius-Ring 15, 97076 Würzburg, Germany joachim.baumeister@denkbares.com ...
CLASS STARTER WHAT IS ARTIFICIAL INTELLIGENCE? Computing
CLASS STARTER WHAT IS ARTIFICIAL INTELLIGENCE? Computing

... WHAT IS THE HORIZON PROBLEM? ...
original - Kansas State University
original - Kansas State University

...  Able to reason over goal, intermediate, and initial states  Basis: automated reasoning  One implementation: theorem proving (first-order logic)  Powerful representation language and inference mechanism ...
aaai-final ack - University of Southern California
aaai-final ack - University of Southern California

... A cognitive architecture embodies a hypothesis concerning the fixed structures underlying intelligent behavior, whether in natural or artificial systems. One of their core applications is building lifelike characters, called virtual humans, capable of understanding and generating speech and natural ...
Artificial Intelligence and Machine Learning: Policy
Artificial Intelligence and Machine Learning: Policy

... As machine learning is used more often in products and services, there are some significant considerations when it comes to users’ trust in the Internet. Several issues must be considered when addressing AI, including, socio-economic impacts; issues of transparency, bias, and accountability; new use ...
3 churchlands could a machine think?
3 churchlands could a machine think?

... the original version of the Turing test, the inputs to the SM machine are conversational questions and remarks typed into a console by you or me, and the outputs are typewritten responses from the SM machine. The machine passes this test for conscious intelligence if its responses cannot be discrimi ...
possibilities, limitations and economic aspects of artificial
possibilities, limitations and economic aspects of artificial

... The use of AI in medicine is a relatively new area, so the number of studies dealing with the analysis of options, different ways, as well as the economic feasibility of use in this area are very limited. However, despite the small number of publicly available studies on the importance and economic ...
Six digital technologies to watch
Six digital technologies to watch

... algorithm to its board of directors!7 Rapid advances in AI have also resulted in concerns about machine intelligence overtaking human intelligence, and becoming a threat to the future of humanity itself. An example is Nick Bostrom’s 2014 book on superintelligence, which considers AI to be potentiall ...
CISB450 - Department of Computer and Information Science
CISB450 - Department of Computer and Information Science

... Part A – Course Outline Elective course in Computer Science Course description: (2-2) 3 credits. This course introduces key concepts of artificial intelligence and application areas. Topics include expert systems, computational intelligence, machine learning, genetic algorithms, and clustering. Upon ...
FA08 cs188 lecture 2..
FA08 cs188 lecture 2..

...  E.g. your value functions from project 2 were probably horrible estimates of future rewards, but they still produced good decisions  Same distinction between modeling and prediction showed up in classification (where?) ...
introduction
introduction

... behavior (like Searle’s dog). And it is with that in mind that I offer this brief outline for a Modified Turing Test, along with some –I take it to be- practical advice for the people clever enough to program these contraptions. Artificial Intelligence At least since Turing people have been fascinat ...
From: AAAI Technical Report S-9 -0 . Compilation copyright © 199
From: AAAI Technical Report S-9 -0 . Compilation copyright © 199

... Although several previous workshops on case-based reasoning have been sponsored by the Advanced Research Projects Agency, AAAI(both in workshops and symposiums), and the European CBR community,this is the first one that focussed primarily on evaluation. Our motivation for holding this workshop was a ...
MS PowerPoint format - Kansas State University
MS PowerPoint format - Kansas State University

... • Examples 3a, 3b: cities visited (positive or negative?!) • May itself be problem to be optimized (by search!) – What aspects of world state should be represented? • Again, depends: on details of operators, states needed to make decisions • Example: traveling companions, radio broadcast, resources ...
machine perception in biomedical applications: an introduction and
machine perception in biomedical applications: an introduction and

... Rapid diagnosis, need of early prediction and control of diseases shifted the biomedical interest towards Artificial Intelligence (AI). This prominently fosters the collaborative interactions of machine learning in biomedical engineering. AI aims at mining relevant information directly from the deri ...
Artificial Intelligence, Machine Learning, and Cognitive Computing: Market
Artificial Intelligence, Machine Learning, and Cognitive Computing: Market

... Description: ...
Business intelligence
Business intelligence

... information has grown as the need to close the gap between the operational data and strategic objectives has become more pressing – New data-generating technologies, such as RFID, is accelerating this growth and the subsequent need for real-time BI – Traditional BI systems use a large volume of stat ...
Carving Out Evolutionary Paths Towards Greater Complexity
Carving Out Evolutionary Paths Towards Greater Complexity

... what in general the architecture of an infomorph should be, covering in particular one of such architectures proposed in the Handbook of Neuroevolution Through Erlang [1]. But simply stating that NNs within a particular infomorph architecture can represent intelligence is not enough, since what is m ...
Advanced Applications of Neural Networks and Artificial Intelligence
Advanced Applications of Neural Networks and Artificial Intelligence

... according to philosophy of AI. a) Strong AI b) Weak AI What is Strong AI? The principle behind Strong AI is that the machines could be made to think or in other words could represent human minds in the future. Thus Strong AI claims that in near future we will be surrounded by such kinds of machine w ...
Introduction to AI
Introduction to AI

... You have a search tree with a branching factor of b and a maximum depth of m. The depth of the shallowest goal node is d. You are considering searching the tree using either a depth-first search agent or a breathfirst search agent. Which one will have the best space complexity? Explain. ...
Symbolic Processing * CSCE 3210
Symbolic Processing * CSCE 3210

... 3. Understand basic principles of Search, two player games and neural networks. 4. Understand one or more application in Artificial Intelligence. Course Description: The course isn’t REALLY suppose to be about Artificial Intelligence, but a lot of symbolic processing deals with problems related to a ...
APPLIED COMPUTATIONAL INTELLIGENCE FOR FINANCE AND
APPLIED COMPUTATIONAL INTELLIGENCE FOR FINANCE AND

... opportunities in the field. Among these, agent-based simulation is gaining a lot of momentum. A specific branch, agent-based computational economics (ACE) is establishing a strong research field on its own. This methodology models markets from the bottom up through the interaction of a number of age ...
What is Artificial Intelligence? Psychometric AI as an Answer
What is Artificial Intelligence? Psychometric AI as an Answer

... often regarded to be the “touchstone” of human intelligence. Unfortunately, ANALOGY simply hasn’t turned out to be the first system in a longstanding, comprehensive research program: after all, we find ourselves, at present, trying to start that very program. What went wrong? Well, certainly Psychom ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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