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03 Lecture CSC462 Notes
03 Lecture CSC462 Notes

... If we are going to say that a given program thinks like a human, we must have some way of determining how humans think. We need to get inside the actual workings of human minds. There are two ways to do this: through introspectior~-trying to catch our own thoughts as they go by-and through psycholog ...
Artificial Intelligence paper
Artificial Intelligence paper

... intelligent entities. Thus, one reason to study AI is to learn more about humankind. But unlike Philosophy and Psychology, which are also concerned with intelligence, AI strives to build intelligent entities as well as understand them. Another reason to study AI is that these constructed intelligent ...
Lecture 23-30
Lecture 23-30

...  Note : The algorithm is least commitment algorithm : produce as little as possible at each step  Problems – 1.) S and G may not converge to a single hypothesis – 2. ) if there is a noise (inconsistent data)  the algorithm will be premature, we may prune the target concept too fast * For example ...
1013aug2009 - Homepages | The University of Aberdeen
1013aug2009 - Homepages | The University of Aberdeen

... Candidates are not permitted to leave the Examination Room during the first or last half hours of the examination. Answer Question 1 and TWO other questions. Question 1 is compulsory. Each question is worth 25 marks; the marks for each part of a question are shown in brackets. ...
event flyer
event flyer

... Her thesis topic was the computational modeling and generation of punning riddles; her program generated puns such as “What do you call a Martian who drinks beer? An ale-ien!” In 2002, she joined the faculty of the Information and Computer Sciences Department at the University of Hawaiʻi at Mānoa, w ...
Lessons Learned and Open Questions
Lessons Learned and Open Questions

... magnitude more intelligent than us. Alternatively, we may say a graph measuring average intelligence beyond the singularity in terms of IQ score may display some form of radical discontinuity if superintelligence emerges. This remains true whether a particular account describes the AI or the IA scen ...
21st-Century AI
21st-Century AI

... decades of talented graduate students who flock to the hardest problem they know. These students strive to distance themselves from those working on other well-defined, mostly solved problems. Hence, these students are always proud to boast that they are working on AI. It’s bad manners to form an ar ...
How Much AI Does a Cognitive Science Major Need to Know?
How Much AI Does a Cognitive Science Major Need to Know?

... nature of computation itself, and is only about cognition via an interpretation step. The only way to achieve that intuitive understanding of computation is to program. Students should be intimate with the details of what their computers can and cannot do, and the only way to achieve such intimacy i ...
Intorduction to Artificial Intelligence Prof. Dechter ICS 270A
Intorduction to Artificial Intelligence Prof. Dechter ICS 270A

... It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Yes, but what is inte ...
CSE 5290: Artificial Intelligence
CSE 5290: Artificial Intelligence

... amplified, as the must be, the result can be errors of several parts per thousand, which is typical in even the best analog process controllers. A digital computer has no such defect. It is a machine for calculating numbers, not measuring phenomena. An analog signal has continuously valid interpreta ...
my_paper
my_paper

... the building blocks of the brain. The goal is to achieve cognitive emergence (development of complexity from simplicity) from these neurons. The success is ultimately mixed. Two problems are that humans do not fully understand how the human mind and neurons work, so the current rules on which these ...
Artificial Intelligence - The University of Edinburgh
Artificial Intelligence - The University of Edinburgh

... Artificial Intelligence (AI) is the attempt to build artificial systems that have intelligent behaviour. There are two main directions of research. One is to understand natural intelligence by the use of computer models. The other provides techniques and technology for building systems capable of in ...
Quantifying Uncertainty
Quantifying Uncertainty

... CSL452 - ARTIFICIAL INTELLIGENCE ...
Research Methods In Artificial Intelligence
Research Methods In Artificial Intelligence

... Situated It is embedded or situated in a world to which it is coupled. It is particular not universal. Constraint-based It satisfies and optimizes multiple external and internal constraints. A researcher’s approach to AI research will be determined by how (s)he ranks the relative importance of these ...
Artificial Intelligence
Artificial Intelligence

... Aristotle: what are correct arguments/thought processes? Several Greek schools developed various forms of logic: notation and rules of derivation for thoughts; may or may not have proceeded to the idea of mechanization Direct line through mathematics and philosophy to modern AI ...
Brain-Like Artificial Intelligence: Analysis of a Promising Field
Brain-Like Artificial Intelligence: Analysis of a Promising Field

... cognitive psychology has witnessed and discovered, and then trying to dig further into details. Architectures following the connectionist approach are usually biologically-based (or inspired), stating that intelligent behaviour emerges from the sophistication and the complexity of the substrate the ...
Dr. Kenneth Ford
Dr. Kenneth Ford

... Kenneth Ford is Founder and Chief Executive Officer of the Florida Institute for Human & Machine Cognition (IHMC) — a not-for-profit research institute located in Pensacola, Florida with world-class scientists and engineers investigating a broad range of topics related to building technological syst ...
Haider - Computer Science - Illinois Institute of Technology
Haider - Computer Science - Illinois Institute of Technology

... the impact of artificial intelligence should not be uniform across the entire population of the each[2]. To some artificial intelligence is a source of lucrative job offers. While others it seems inevitable that a intelligent computer will take over their occupations. At the heart of artificial inte ...
KM Tools
KM Tools

... on this list, as they are usually what people refer to when speaking of KM tools. Simulation tools is too broad a category for the scope of this site, and artificial intelligence systems are of questionable usefulness and are outside my area of expertise. However, in the (not too near) future, I do ...
Learning to trust artificial intelligence systems
Learning to trust artificial intelligence systems

... in their everyday profession. We envision a future in which every AI system will need to have its own ethics module to allow for a fruitful interaction and collaboration with humans in the environments in which it is used. This could be achieved by developing an ethics API that can be adapted to spe ...
Notes 1: Introduction to Artificial Intelligence
Notes 1: Introduction to Artificial Intelligence

... – “the vodka is good but the meat is rotten” (Russian) – not only must the words be translated, but their meaning also! – is this problem “AI-complete”? ...
Application of Artificial Intelligence to Chess Playing
Application of Artificial Intelligence to Chess Playing

... – Behavior is affected by how much of the tree is evaluated, etc. ...
Preface to the AAAI Spring Symposium on AI and the Mitigation of
Preface to the AAAI Spring Symposium on AI and the Mitigation of

... ... reason might be precisely the area where artificial intelligence excels. I can imagine a world where machine intelligence runs hospitals and health services, allocating resources more quickly and competently than any human counterpart. ... the investigation into strong artificial intelligence mi ...
Human Computation and Serious Games AIIDE Joint
Human Computation and Serious Games AIIDE Joint

... publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers contained in these working notes without first exploring the options available through AAAI Press and AI ...
(pdf)
(pdf)

... •  cycle times: order of 10^(-9) seconds Numbers are getting close! Hardware will surpass human brain within next 20 yrs. ...
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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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