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Can Machine Think? - Composing Digital Media
Can Machine Think? - Composing Digital Media

... ·The “Heads in the Sand” Objections What should not be does not mean what can not be ...
Intelligent Systems - Teaching-WIKI
Intelligent Systems - Teaching-WIKI

... neural networks made of many units working in parallel. Each unit is connected to its neighbours by links that can raise or lower the likelihood that the neighbour unit will fire (excitatory and inhibitory connections respectively). Neural networks that are able to learn do so by changing the streng ...
Integrating the Mine and Mill - Lessons from
Integrating the Mine and Mill - Lessons from

... • we focus on applications but there is always room in the boat for new theories and ideas • we gather every two years to share in our new knowledge and experience ...
reading1a
reading1a

... computers merely follow the instructions provided by their programming. In 1950, an era when silicon microchips did not yet exist, Turing realized that as computers got smarter, this question about artificial intelligence would eventually arise. [For more on Turing's life and work, see box on opposi ...
1996TuringIntro
1996TuringIntro

... of what might be supposed to be non-algothmic “divine spark” thinking in mathematics and logic - for example the proof of Gödel’s second theorem. He provides a fascinating insight into what goes on in the mathematician’s mind when attempting to grapple with abstract objects such as infinite sequence ...
Document
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... A player may withdraw from the hand, forfeiting any bets and raises already put in the pot, and excluding themselves from further betting. ...
reading1
reading1

... computers merely follow the instructions provided by their programming. In 1950, an era when silicon microchips did not yet exist, Turing realized that as computers got smarter, this question about artificial intelligence would eventually arise. [For more on Turing's life and work, see box on opposi ...
What is Computational Intelligence and where is it
What is Computational Intelligence and where is it

... think that “the term ’artificial intelligence’ is a source of much confusion” and therefore propose to change the name, creating even greater confusion. In the first chapter they write: “Computational intelligence is the study of the design of intelligent agents. [...] The central scientific goal of ...
CSC 6800 Section 002 (Online) Artificial Intelligence Fall 2016 313
CSC 6800 Section 002 (Online) Artificial Intelligence Fall 2016 313

... Academic misbehavior means any activity that tends to compromise the academic integrity of the institution or subvert the education process. All forms of academic misbehavior are prohibited at Wayne State University, as outlined in the Student Code of Conduct (http://www.doso.wayne.edu/student-condu ...
• RESEARCH AREAS RESOURCES: Featured Research:
• RESEARCH AREAS RESOURCES: Featured Research:

... ...
Foundations of AI
Foundations of AI

... ƒ Searl’s Chinese Room argument suggest that AI can only simulate intelligent behavior ƒ This is based on a thought experiment, where a human memorizes a rule body and executing it, without understanding it ƒ Difficult to make precise for Chinese language ...
Cameron Christlieb Mind, Machine, and Consciousness (LE) Paper
Cameron Christlieb Mind, Machine, and Consciousness (LE) Paper

... most advance programs are still far from even the most basic of human understandings, like the incredibly intelligent Deep Blue supercomputer, that beat the world champion chess player, but couldn’t understand a simple joke. The limits of AI and robotics will continue to change as better technology ...
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Epistemology and Artificial Intelligence Aaron Sloman

... studies of knowledge, but for all science, by noting that until recently there were few good ways of expressing theories about complex processes. The formalisms available were mainly derived from the concepts of physics, and were therefore mostly concerned with changes in scalar (discrete or continu ...
Pattern Recognition and Artificial Intelligence for Human Behaviour
Pattern Recognition and Artificial Intelligence for Human Behaviour

... AIMS & SCOPE Pattern Recognition (PR) and Artificial Intelligence (AI) scientific communities have tried to join their efforts and share knowledge in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the ...
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... 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. ...
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... Suite Metrics by Kevin Jalbert and Jeremy Bradbury of the Institute of Technology at the University of Ontario. This paper received the best reviews and presents a fascinating new technology. ...
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... (the causes) then steam is escaping (the effect). This is the process of deduction. Many problems, such as diagnosis, involve reasoning in the reverse direction, i.e. the user wants to ascertain a cause, given an effect. This is abduction. Given the observation that steam is escaping, abduction can ...
Turing Test suggests that we base our decision about whether a
Turing Test suggests that we base our decision about whether a

... Reason 2: Too anthropocenctric. Too anthropocentric to insist that program should work in same way as humans. Dogs are capable of cognition, but would not pass Turing Test. Still, producing machine with cognitive and communicative abilities of a dog would be (another) challenge for AI. But how can ...
ttay8_ppt_15b
ttay8_ppt_15b

... Most people have trouble knowing and describing how they do things. There are vast differences between the capabilities of the human brain and those of a computer. Even the most powerful supercomputers can’t approach the brain’s ability to perform parallel processing. ...
Introduction to Cognitive Science
Introduction to Cognitive Science

... – If the interrogator cannot make a decision within a certain time, the machine is considered to be intelligent. ...
Eye on the Prize - Stanford Artificial Intelligence Laboratory
Eye on the Prize - Stanford Artificial Intelligence Laboratory

... of researchers develops, and momentum carries the pursuit of techniques into areas perhaps not relevant to a general intelligent agent. Exciting whirlpools always divert some people from the mainstream. Some of the work in theoretical AI (for example, some nonmonotonic reasoning research) might be o ...
History of LISP - Computer and Information Science | Brooklyn College
History of LISP - Computer and Information Science | Brooklyn College

... A programming system called LISP (for LISt Processor) has been developed for the IBM 704 computer by the Artificial Intelligence group at M.I.T. The system was designed to facilitate experiments with a proposed system called the Advice Taker, whereby a machine could be instructed to handle declarati ...
Monmouth University Poll West Long Branch, NJ  07764 www.monmouth.edu/polling     
Monmouth University Poll West Long Branch, NJ 07764 www.monmouth.edu/polling     

... have been obtained by researchers, there is still a huge gap between what machines can do and humanlevel intelligence,” said Dr. Richard Scherl, associate professor of computer science at Monmouth University whose research area is artificial intelligence, with a focus on knowledge representation and ...
The Synergy of Human and Artificial Intelligence in Software
The Synergy of Human and Artificial Intelligence in Software

... To reduce human efforts and burden on human intelligence in software-engineering activities, Artificial Intelligence (AI) techniques have been employed to assist or automate these activities. Typically human’s domain knowledge can serve as starting points for designing AI techniques. Furthermore, th ...
Solving Mathematical Puzzles: a Deep Reasoning Challenge
Solving Mathematical Puzzles: a Deep Reasoning Challenge

... finding the right knowledge representation and encoding for modelling the problem and reasoning techniques for solving it. This long-term vision of Artificial Intelligence results is still far from being achieved nowadays (and in the foreseeable future). Nevertheless, we strongly believe that consid ...
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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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