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Levels of Organization in General Intelligence
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 ...
Knowledge Representation in Competence Management using First
Knowledge Representation in Competence Management using First

... Artificial Intelligence that takes new approaches to solve problem to a very large domain. Artificial Intelligence, otherwise known as AI, is the study and development of intelligent machines capable of performing complex tasks that require thought and behavior normally associated with human intelli ...
Artificial life: organization, adaptation and complexity
Artificial life: organization, adaptation and complexity

... contemporary artificial life. Complex systems are composed of many elements simultaneously interacting with each other. Those in which the rules governing the elements are reshaped over time by some process of adaptation or learning are complex adaptive systems [6,7], and these are the main focus of ...
26 Some Philosophical Problems from the Standpoint of
26 Some Philosophical Problems from the Standpoint of

... general representation of the world in terms of which its inputs are interpreted. Designing such a program requires commitments about what knowledge is and how it is obtained. Thus, some of the major traditional problems of philosophy arise in artificial intelligence. More specifically, we want a co ...
Unit-3 Knowledge Representation (KR) and Reasoning
Unit-3 Knowledge Representation (KR) and Reasoning

...  knowledge representation : It is another great challenge how to express knowledge which can be presented in mathematical or some logical format. Ultimate goal to get a work done by a computer will be to translate the informal sentences into formal ones which could be well interpreted by a computer ...
Evaluation of General-Purpose Artificial Intelligence
Evaluation of General-Purpose Artificial Intelligence

... have tried to transfer ideas from human testing [27, 7, 13], but this approach has severe limitations for artificial intelligence [2], where no single reference- or abstract system model can be assumed. In this paper we discuss several important topics related to creating a solid foundation for eval ...
CS2621421
CS2621421

... like cellular phones and many other new technology devices. This trend inquest to a sudden market increase in what might be called as Machine Intelligence (MI). Today we have several intelligent devices that can by themselves figure out their own settings in order to perform their task in an excelle ...
Sanghi+Dowe_IQ_Paper_JIntConfCogSci2003
Sanghi+Dowe_IQ_Paper_JIntConfCogSci2003

... string search for keywords can be implemented to recognise the type of question. It can then be simple for the program to calculate the answer based on some predefined rules. A trivial way of recognising the question would be to look for patterns such as “What is the next number in the sequence”. A ...
An Introduction to Expert Systems
An Introduction to Expert Systems

... deal with situations that do not fit neatly into well defined numerical categories. In these instances, some facts are known, but not precisely and they are stated as ideas rather than numbers or letters. Secondly, expert systems do goal oriented, nonprocedural, heuristic processing. For example, in ...
Artificial intelligence in clinical research
Artificial intelligence in clinical research

... frameworks has been a standout amongst the most driven and, as anyone might expect, dubious. It likewise appears that at an opportune time, researchers and specialists alike were charmed by the potential such an innovation may have in prescription (eg. Ledley and Lusted, 1959). With clever computers ...
Network Aesthetics - social computing lab
Network Aesthetics - social computing lab

... graphically-sophisticated, direct manipulation interfaces that are intuitive to use.3 In contrast, artificial intelligence (AI) researchers often insist that the interface per se is not that important for the goal of “user friendly” software. If the computer’s “understanding” of the person is a deep ...
NETWORK   AESTHETICS Warren Sack Abstract Film & Digital Media Department
NETWORK AESTHETICS Warren Sack Abstract Film & Digital Media Department

... graphically-sophisticated, direct manipulation interfaces that are intuitive to use.3 In contrast, artificial intelligence (AI) researchers often insist that the interface per se is not that important for the goal of “user friendly” software. If the computer’s “understanding” of the person is a deep ...
Swarm Intelligence
Swarm Intelligence

... Particle swarm optimization imitates human or insects social behavior. Individuals interact with one another while learning from their own experience, and gradually move towards the goal. It is easily implemented and has proven both very effective and quick when applied to a diverse set of optimizat ...
Swarm Intelligence
Swarm Intelligence

... Particle swarm optimization imitates human or insects social behavior. Individuals interact with one another while learning from their own experience, and gradually move towards the goal. It is easily implemented and has proven both very effective and quick when applied to a diverse set of optimizat ...
Expert Systems
Expert Systems

... The human brain is equipped with such an enormous potential to perceive, understand and learn. If this ability can be duplicated in a computer system, the computer should be classified as being intelligence according to the definition of intelligence . As the human intelligence is captured by an ext ...
Future Computing and Robotics: A Report from the HBP Foresight Lab
Future Computing and Robotics: A Report from the HBP Foresight Lab

... give computers the capacity to learn from their ‘experience’ without being specifically programmed, constructing algorithms, making predictions, and then improving those predictions by learning from their results, either in supervised or unsupervised regimes. In these and other ways, developments in ...
Toward a Theory of Intelligence - Boston College Computer Science
Toward a Theory of Intelligence - Boston College Computer Science

... with the right program for the tape (110)0*. But clearly there is a Zog-fa that generates this tape too (by our lemma). ■ Corollary 1.1. For any Zog-fa a recursive-computing learner can acquire, there are infinitely many Zog-fa’s it cannot. In the above case, it cannot acquire any of the Zog-fa’s wh ...
Leadership and Emotional Intelligence - WSU Tri
Leadership and Emotional Intelligence - WSU Tri

... leaders, shaping organizational culture, and ultimately impacting an organization’s financial performance. The corporate world has long recognized that the greatest and most effective leaders offer more than traditional intelligence. Indeed, countless “smart” leaders have fallen from grace in recent ...
paradigm shift: engineering artificial intelligence and management
paradigm shift: engineering artificial intelligence and management

... competitive. An analytical understanding of the theoretical concepts that underlie artificial intelligence fusion to engineering applications will permit strategic managers to discern between emergent technologies and pre-existing constructs that have been modified. Applied concepts such as fuzzy lo ...
Intelligent Situation-Aware Media and Presentations AAAI Press
Intelligent Situation-Aware Media and Presentations AAAI Press

... Papers from the AAAI Workshop Rainer Malaka and Antonio Krüger, Cochairs ...
Prominence of Expert System and Case Study
Prominence of Expert System and Case Study

... different issues and to decide; but can we design machines to do all these things? Some philosophers are open to the idea that machines will perform all the tasks a human can do. But also there are some, who openly ridicule this idea and they believe that humans are very sophisticated creatures crea ...
Chapter 02 for Neuro-Fuzzy and Soft Computing
Chapter 02 for Neuro-Fuzzy and Soft Computing

... SC Constituants and Conventional AI (1) “SC is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision” [Lotfi A. ...
2010 AAAI Spring Symposium Series Call for Participation M
2010 AAAI Spring Symposium Series Call for Participation M

... from a computational perspective. Speed, acceleration, tempo, and delay are concepts that AI and robotics researchers recognize as important in everything from motor control to verbal communication, but we do not yet possess a well-motivated framework for how these temporal considerations should be ...
AAAI Fall Symposium Series - Association for the Advancement of
AAAI Fall Symposium Series - Association for the Advancement of

... Applications of Artificial Intelligence to Real-World Autonomous Mobile Robots Building intelligent robots which can perform tasks autonomously in the real world has long been a goal of artificial intelligence research. While a great deal of progress has been made towards this goal in recent years, ...
Adapting the Turing Test for Embodied Neurocognitive Evaluation of
Adapting the Turing Test for Embodied Neurocognitive Evaluation of

... Presented at the AAAI Fall symposium on Biologically Inspired Cognitive Architectures, November 2008, Washington D.C. 2 perhaps even less useful than Turing-2, because it would be an even more difficult test to pass. Yet, the other two aspects of the test may suggest ways to design and implement a ...
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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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