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From: AAAI Technical Report S-9 - . Compilation copyright © 199
From: AAAI Technical Report S-9 - . Compilation copyright © 199

... Workflow and Process Management, ICCBR99’sThe Integration of Case-Based Reasoning in Business Processes and Practical Case-Based Reasoning Strategies for Building and Maintaining Corporate Memories). However, this marks the first year in which KMworkshops have focused on case-based reasoning, with t ...
Intelligent Software and Knowledge Representation (IS
Intelligent Software and Knowledge Representation (IS

Praise or flow? Two pedagogies for open-ended learning
Praise or flow? Two pedagogies for open-ended learning

... MOOCs have recently flourished as a new way to bring education to large numbers of people at affordable cost. However most MOOCs so far rely on rigid structured instruction based on prior lesson plans. Can we also develop MOOCs that follow the paradigm of open-ended, student-centered learning? This ...
1992-Artificial Intelligence and Molecular Biology
1992-Artificial Intelligence and Molecular Biology

... synthesize comparable machines. Despite their inherent generality, these goals are best served by decomposing this overwhelmingly complex task into more tractable subproblems, often addressing quite specific behaviors or cognitive abilities. These decompositions generate the collection of tasks and ...
Can computers have `conversations` with humans?
Can computers have `conversations` with humans?

... Artificial Solutions® is the leading specialist in Natural Language Interaction (NLI). The company’s patented technology enables people to converse with applications and services running on computers, mobiles, wearables and other electronic devices in a humanlike, intelligent manner. Called Teneo, i ...
Artificial Intelligence CSC 361
Artificial Intelligence CSC 361

...  Handwriting recognition (US postal service zip code readers)  Automated theorem proving • use inference methods to prove new theorems  Web search Engines ...
Artificial Intelligence presentation
Artificial Intelligence presentation

... and the branch of computer science. John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist. He invented the ...
Artificial Intelligence - Computer Science Department at Princeton
Artificial Intelligence - Computer Science Department at Princeton

... Idea of programming computers for "intelligent" behavior. First suggested by--who else?--Alan Turing, 1950. ...
Computation, Machine Learning and Artificial Intelligence
Computation, Machine Learning and Artificial Intelligence

blank page
blank page

EXPERT SYSTEMS (contd.)
EXPERT SYSTEMS (contd.)

... 1. Fuzzy Logic : Reasoning that deals with uncertainties or partial information. 2. Method : (a) Deals with uncertainties by simulating the process of qualitative human reasoning. (b) Allows computers to behave less precisely / logically. 3. Rationale : Decision making is not always precise, there a ...
15. MANAGING KNOWLEDGE
15. MANAGING KNOWLEDGE

...  May be merged with expert systems – e.g., expert system could select -- neural network could monitor  IS specialists may need to be proficient in neural network skills  Neural network applications may increase with greater computing power  Large interconnected neural network applications will b ...
Course Overview - COW :: Ceng On the Web
Course Overview - COW :: Ceng On the Web

... design of intelligent agents. Topics include heuristic search, problem-solving, game-playing, knowledge representation, logical inference, planning, reasoning under uncertainty, and learning. The emphasis of the course is on the fundamentals, and not on providing a mastery of specific commercially a ...
Artificial Intelligence CSC 361
Artificial Intelligence CSC 361

Artificial Intelligence CSC 361
Artificial Intelligence CSC 361

...  Handwriting recognition (US postal service zip code readers)  Automated theorem proving • use inference methods to prove new theorems  Web search Engines ...
Tutorial on Knowledge Engineering in Medicine and Health Care
Tutorial on Knowledge Engineering in Medicine and Health Care

... http://www.asu.edu.eg/staff/profile.php?action=show&pid=8256 abmsalem@yahoo.com absalem@cis.asu.edu.eg In order to act intelligently, a computer must have knowledge about the domain of interest. The process of collecting, representing, and organizing the knowledge is called knowledge engineering (KE ...
IET Travel Award Report on the trip to AAAI-‐16 - Events
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... readings   are   localized.   The   key   objective   of   this   work   is   to   enable   robots   to   have   multisensory   perception   system   as   humans.   My   presentation   was   also   supported   with   a   poster   in   the   ...
CSCE4310-1 - Computer Science and Engineering
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... no necessary connection between order of planning and order of execution what happens if the world changes as we execute the plan and/or our actions don’t produce the expected results? ...
A Viewpoint on Embodied Synthetic Agency
A Viewpoint on Embodied Synthetic Agency

... will be plagued by inherent representational, scope limited, and frame of reference offset errors. Further, all of these problems will be exacerbated in systems where specifications require evidence of agent learning as a deliverable. Obviously, these are not trivial problems and their solution will ...
sb.css.onlinelect.v3 - Minds & Machines Home
sb.css.onlinelect.v3 - Minds & Machines Home

... (e.g., proofs) are identical to some chain of reasoning expressed in first-order logic. But there are many chains of human reasoning in infinitary logics, and we know that such chains in infinitary logic cannot possibly be expressed in first-order logic. Contradiction! So, by indirect proof, the sta ...
Neural Networks
Neural Networks

... 1, Instead of being contradictory among the three, AI Theory is now becoming a big and harmonious family, a unified and systematic discipline, thus gaining greater momentum. 2, As results, AI should now mean the trinity of traditional AI, neural network (Computational Intelligence) and the senormoto ...
Daniel Dewey - Future of Humanity Institute
Daniel Dewey - Future of Humanity Institute

... Superintelligence, moderated panel including Stuart Russell, Elon Musk, Nate Soares, and Nick Bostrom, at Effective Altruism Global 2015, Mountain View, CA. What could we do about intelligence explosion?, presented at 2014 Paris Workshop on the Future of Artificial Intelligence, 2014 International C ...
alison@ Fri Aug 19 10:42:17 BST 1994 Artificial Intelligence
alison@ Fri Aug 19 10:42:17 BST 1994 Artificial Intelligence

... Case Based Reasoning Case-Based Reasoning – program intensive and costly •As with expert systems and fuzzy logic, there are instances when the information regarding a decision in question does not fit into any of the structured rules so in these situations, the facts and past decisions with similar ...
Teaching AI through Machine Learning Projects
Teaching AI through Machine Learning Projects

Intro to Information Systems
Intro to Information Systems

... What is the business value of AI technologies in business today? What value might exist if Jeff Hawkins can build a machine to think like humans? 2. Why has artificial intelligence become so important to business? 3. Why do you think banks and other financial institutions are leading users of AI tec ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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