Journal ArticleDOI
Artificial intelligence: hype or reality?
TLDR
It seems likely that applications like distributed blackboards will continue apace in specialist domains, and progress toward the popular idea of AI manifested in human-like robots as the authors progress in simulating vision, language, common sense, and adaptability behaviors.Abstract:
Artificial intelligence is not just hype, as many working applications use AI techniques. However, we have yet to develop a system that spans the full spectrum of intelligent behavior. For example, building a system that an make sensible decisions about unfamiliar situations in everyday, nonspecialist domains remains difficult. Nevertheless, it seems likely that applications like distributed blackboards will continue apace in specialist domains. This quiet revolution can make a significant contribution to our lives. Meanwhile, we can also expect progress toward the popular idea of AI manifested in human-like robots as we progress in simulating vision, language, common sense, and adaptability behaviors.read more
Citations
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Journal ArticleDOI
Household robotics: autonomous devices for vacuuming and lawn mowing [Applications of control]
Haydar Sahin,Levent Guvenc +1 more
TL;DR: This article is focused on domestic robots for vacuuming and lawn mowing, which are mobile units that use autonomous mobile robotics technology.
Book ChapterDOI
The State of Artificial Intelligence
TL;DR: The field of artificial intelligence is concluded that the field is in good shape and has delivered some great results, but difficulties remain in devising a system that spans the full spectrum of intelligent behavior, including the difficult areas in the middle that include common sense and perception.
Journal ArticleDOI
Prototype-Incorporated Emotional Neural Network
TL;DR: This paper proposes and implements a novel neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype- and adaptive-learning theories, and refers to the new model as “prototype-incorporated EmNN”.
Journal ArticleDOI
A TV whitespace ecosystem for licensed cognitive radio
Tim Forde,Linda Doyle +1 more
TL;DR: The analysis shows that regulators have already formulated many of the policy tools necessary to create a coherent ecosystem for license-based exploitation of TV whitespace by cognitive radios and that there are opportunities for broadening the regulation of TV Whitespace.
Book ChapterDOI
Human-Computer Interaction for Complex Pattern Recognition Problems
Jie Zou,George Nagy +1 more
TL;DR: Some applications of human-computer interaction that alleviate the complexity of visual recognition by partitioning it into human and machine tasks to exploit the differences between human andmachine capabilities are reviewed.
References
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Journal ArticleDOI
Learning representations by back-propagating errors
TL;DR: Back-propagation repeatedly adjusts the weights of the connections in the network so as to minimize a measure of the difference between the actual output vector of the net and the desired output vector, which helps to represent important features of the task domain.
Book
Computing Machinery and Intelligence
TL;DR: If the meaning of the words “machine” and “think” are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, “Can machines think?” is to be sought in a statistical survey such as a Gallup poll.
Journal ArticleDOI
The blackboard model of problem solving
TL;DR: The first blackboard system was the HEARSAY-II speech understanding system (Erman et al.,1980) that evolved between 1971 and 1976 as mentioned in this paper, and many systems have been built that have similar system organization and run-time behavior.