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III. Reading - Херсонський національний технічний університет
III. Reading - Херсонський національний технічний університет

... THE EARLY YEARS Until the late 1970s, the computer was viewed as a massive machine that was useful to big business and government but not to the general public. Computers were too cumbersome and expensive for private use. As technology advanced, this was changed by a distinctive group of engineers a ...
On the track of the tiniest faults
On the track of the tiniest faults

... They are absolutely tiny and hardly visible to the naked eye. Quality inspectors know how difficult it is to uncover faults or discrepancies in the production process. Testing processes are time-consuming and not always successful. Industry 4.0 changes that too, with the aid of «deep learning» techn ...
Com3240 Adaptive Intelligence - Department of Computer Science
Com3240 Adaptive Intelligence - Department of Computer Science

... computer really is a mind, can be said to understand, and has other cognitive states. • Weak AI: a computer is a valuable tool for study of mind – makes it possible to formulate and test hypotheses rigorously • (Kurzweil (2005) confusingly also uses term strong AI to refer to a “machine with the ful ...
Papert (1988)
Papert (1988)

... processing side of AI has wandered off into building systems of Brobdingnagian proportions (Lenat et al., 1986). Whether or not such large-scale software-engineering projects are even doable (Brooks, 1975; Cherniak, 1988; Parnas, 1985), AI’s most ‘‘successful’’ programs, such as SHRDLU (Winograd, 19 ...
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... •Action is generated by sensed or internal stimulus •No awareness, no monitoring •Models are of the vehicle, not the “larger” world ...
Explaining robot actions - Advanced Technology Laboratories
Explaining robot actions - Advanced Technology Laboratories

... mode and world information. We have developed but not implemented algorithms that examine changes in the grids used to produce the cost map. These algorithms look for the most influential cells on the robot’s route and determine what grid(s) correspond to the values of these cells. By understanding ...
REVISITING ORIGINAL PHILOSOPHY OF FIFTH GENERATION
REVISITING ORIGINAL PHILOSOPHY OF FIFTH GENERATION

... It seems that people criticizing something as a finished product have the wrong idea that our project aims at making commercial products in the near future. We are rather looking at possibilities for the future. The criticisms of our kernel language include such resonable questions as whether there ...
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... “Can machines think?”  “Can machines behave intelligently?” Operational test for intelligent behavior: the Imitation Game ...
Learning Efficient Logic Programs Andrew Cropper Imperial College London, United Kingdom
Learning Efficient Logic Programs Andrew Cropper Imperial College London, United Kingdom

... theoretical optimal predictions. ...
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Quality – An Inherent Aspect of Agile Software Development
Quality – An Inherent Aspect of Agile Software Development

... This figure illustrates how nodes operate in a hierarchy; we show a two-level network and its associated inputs for three time steps. This network is constructed for illustrative purposes and is not the result of a real learning process. The outputs of the nodes are represented using an array of rec ...
Towards a theory of Hybrid Intelligent Autonomous Systems
Towards a theory of Hybrid Intelligent Autonomous Systems

... Abstract: Today, researchers have at their disposal, the required hardware, software, and sensor technologies to build intelligent autonomous systems. More, they are also in possession of some computational tool such as Fuzzy Logic(FL), Neural Networks (NN), Expert system(ES), Genetic Algorithms (GA ...
white paper from the Workshop on Development and Learning.
white paper from the Workshop on Development and Learning.

... study in neural science and psychology. For example, there are several computational models for the development of response patterns in the retina, the lateral geniculate nucleus, and simple cells in the visual cortex. A particular subject that is now actively investigated concerns the mechanisms fo ...
Non-Optimal Multi-Agent Pathfinding Is Solved (Since 1984)
Non-Optimal Multi-Agent Pathfinding Is Solved (Since 1984)

... Peasgood, Clark, and McPhee (2008) present an algorithm which is complete for trees with fewer agents than leaves in the tree. Khorshid, Holte, and Sturtevant (2011) propose a more general approach guaranteeing completeness for a larger class of trees. The MAPP algorithm by Wang and Botea (2011) cov ...
Neuroanatomical correlates of intelligence
Neuroanatomical correlates of intelligence

... various task demands (Andreasen et al., 1993; Flashman et al., 1997), which have been attributed to different brain regions (e.g., verbal task demands to the left inferior frontal and posterior temporal lobe; visuo-spatial demands to the parietal lobe; information encoding and retrieval to the hippo ...
INTRODUCTION TO COMPUTATIONAL INTELLIGENCE
INTRODUCTION TO COMPUTATIONAL INTELLIGENCE

... The step size or mutation strength is often governed by selfadaptation. The selection in evolution strategies is deterministic and only based on the fitness rankings, not on the actual fitness values. ...
PPT
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... Assuming a discrete set of time t  0,1,2,..., in each of which the agent must choose an action a t from a set of actions A To optimally choose an action at time t , it must use its complete history of observation and action a for   t Mapping function  is called the Policy of the agent  (0 , ...
Robotics and artificial intelligence
Robotics and artificial intelligence

... phone, to filtering spam out of an email inbox. 6. Machines have also become more adept at translating one language into another, though they do not ‘understand’ language in the same way as a human. They struggle to cope, for example, with syntax and do not comprehend the meaning or implications of ...
14.FARS 3.Synthetic PET(2001) - University of Southern California
14.FARS 3.Synthetic PET(2001) - University of Southern California

... As a computational plus (going beyond the imaging technology), we can also collect the contributions of the excitatory and inhibitory synapses separately, based on evaluating the integral in (1) over one set of synapses or the other. Michael Arbib CS564 - Brain Theory and Artificial Intelligence, US ...
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... From: AAAI Technical Report WS-02-14. Compilation copyright © 2002, AAAI (www.aaai.org). All rights reserved. ...
New Trends in Intelligent Systems
New Trends in Intelligent Systems

... “As AI matures, its focus is shifting from inward-looking to outward-looking. Some of the new concerns of the field are social awareness, networking, cross-disciplinarity, globalization, and open access”…Alan Mackworth, Current AAAI President, July 2005 ...
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Slide 1

... • 'In rebuilding operations the test is whether the identity of the vessel has continued, or has been extinguished… • This court has not undertaken and will not now essay to announce rigid definitions of repairs and new construction; but we do not accept the suggestion that the two things can be acc ...
SIGCHI Conference Paper Format
SIGCHI Conference Paper Format

... decide about the required assistance. Activity modelling, representation and recognition has attracted increasing attention in recent years, in particular in ambient assistive living settings. Approaches to activity modeling, representation and recognition can be generally classified into three cat ...
ECE 4524 Artificial Intelligence and Engineering Applications
ECE 4524 Artificial Intelligence and Engineering Applications

... McCarthy, Hayes, 1969, ”Some Philosophical Problems from the Standpoint of Artificial Intelligence”. How should AI capture the common-sense notion that aspects of the world, not involved in an action should not change? This is a big topic in philosophy, with several proposed solutions I ...
USI1
USI1

... • Man is trying to imitate nature with artificial AS • Why? • Because man-made machines with predefined behavior cannot cover all aspects • Note: Adaptation < Learning < Intelligence ...
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Existential risk from artificial general intelligence

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