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First-Order Logic
First-Order Logic

... Once you have the gold, your goal is to get back home ...
Using Distributed Data Mining and Distributed Artificial
Using Distributed Data Mining and Distributed Artificial

... a single dataset and then, some distributed learning approach must be used. DDM can deal with public datasets available on the Internet, corporate databases within an Intranet, environments for mobile computation, collections of distributed sensor data for monitoring, etc. Distributed Data Mining of ...
Complete Workshop Proceedings
Complete Workshop Proceedings

... Since the origins of Artificial Intelligence – based on the fundamental work of Alan Turing [44], the first architecture for neural networks by McCulloch & Pitts [35], the development of higher programming languages like LISP [34], and finally the creation of AI as a discipline at the Dartmouth conf ...
Physical symbol systems - Research Showcase @ CMU
Physical symbol systems - Research Showcase @ CMU

Intelligent Software Environment for Integrated Expert Systems
Intelligent Software Environment for Integrated Expert Systems

... hardware system is often meant as the intelligent planning, but the term “intelligent planning”» has no clear definition. For example, the term “intelligent planning” is more commonly used in Russian literature [15], while “automated planning” is used in English [16]. However, in both cases the plan ...
PDF - Foundational Research Institute
PDF - Foundational Research Institute

... topic happened far sooner than I imagined it would.] ...
Applications of Signatures to Expert Systems Modelling
Applications of Signatures to Expert Systems Modelling

... are rules to execute the rules, forward chaining and backward chaining. The forward chaining is data-driven reasoning expressed as: the reasoning starts with the known data, each time only the topmost rule is executed, when fired the rule adds a new fact in the database, and the cycle stops when no ...
PDF File - School of Computer Science and Statistics
PDF File - School of Computer Science and Statistics

... This has resulted in a situation today with games set in visually stunning, and almost photo realistic worlds being the norm. As game developers seek something new to make their games stand out from the rest, artificial intelligence is playing a far more important role in game design than before. Th ...
History of AI - School of Computer Science
History of AI - School of Computer Science

... G5BAIM Artificial Intelligence Methods Graham Kendall End of History ...
PDF - The Insight Centre for Data Analytics
PDF - The Insight Centre for Data Analytics

artificial intelligence and decision support in natural
artificial intelligence and decision support in natural

... behaviour to computers. This goal includes making computers easier to use, creating more effective communication between user and computer, and making them able to deal with words and ideas, incomplete or uncertain information, and more complex or ambiguous problems. In its early days as a formal di ...
Introduction to The Soar Papers - Autonomous Learning Laboratory
Introduction to The Soar Papers - Autonomous Learning Laboratory

... The Soar project is an attempt to develop and apply a unified theory of human and artificial intelligence. At the core of this effort is an investigation into the architecture ! the fixed base of tightly-coupled mechanisms ! underlying intelligent behavior. This architecture then forms the basis for ...
325
325

... 5270. Computer-Human Interfaces. 3 hours. Emphasizes human performance in using computer and information systems. Topics for software psychology include programming languages, operating systems control languages, database query facilities, computer-assisted dialogues, personal computing systems, edi ...
The Next Knowledge Medium
The Next Knowledge Medium

... civilization dramatically. The article is in three parts: stories, models, and predictions. The stories describe processes of cultural change that have been studied by historians and anthropologists. They provide a historical context for considering present and future cultural changes. To illuminate ...
Artificial Intelligence
Artificial Intelligence

... information. Procedural knowledge is related to the performance of some task. It tells what about any object For example, sequence of steps to solve a problem is procedural knowledge. • Declarative knowledge • Declarative knowledge is passive knowledge in the form of statements of facts about the wo ...
cpsc - University of Calgary
cpsc - University of Calgary

... Make computers store more information!! ...
CS6659-ARTIFICIAL INTELLIGENCE
CS6659-ARTIFICIAL INTELLIGENCE

... decision which branch is to be followed during a search. For example, for shortest path problems, a heuristic is a function, h (n) defined on the nodes of a search tree, which serves as an estimate of the cost of the cheapest path from that node to the goal node. Heuristics are used by informed sear ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Consistent and thorough Can be documented Can execute certain tasks much faster than a human can Can perform certain tasks better than many or even most people ...
A Probabilistic Extension of the Stable Model
A Probabilistic Extension of the Stable Model

... which I is a stable model (under the standard stable model semantics). In other words, the LPMLN semantics is similar to the MLN semantics except that the possible worlds are the stable models of some maximal subset of ΠP , and the probability distribution is over these stable models. Unlike MLN, su ...
1. Procedural knowledge Vs Declarative Knowledge - E
1. Procedural knowledge Vs Declarative Knowledge - E

CHIME: Service-oriented Framework for Adaptive Web
CHIME: Service-oriented Framework for Adaptive Web

... realize that the most artifacts are inaccessible to the general public and experts distributed around the world. Museums own many more artifacts than they can show in their main exhibition at any one time. Large investments are being made to "capture" the artifacts digitally, and projects have been ...
98 photograph release
98 photograph release

... have been taken of me and/or my demonstration on or about the following date(s): August 7 – 11, 2011 at the following event(s) or location(s): Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) Hyatt Regency San Francisco San Francisco, California USA (1) To copyright the same in AAAI ...
01 BIA - History - VŠB-TUO
01 BIA - History - VŠB-TUO

Intelligent Agents: Theory and Practice
Intelligent Agents: Theory and Practice

... in a particular situation may require mental qualities or qualities isomorphic to them. Theories of belief, knowledge and wanting can be constructed for machines in a simpler setting than for humans, and later applied to humans. Ascription of mental qualities is most straightforward for machines of ...
RobotTeam10 Photo Release Form 1
RobotTeam10 Photo Release Form 1

... have been taken of me and/or my demonstration on or about the following date(s): July 11 – July 15, 2010 at the following event(s) or location(s): Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) Westin Plaza Peachtree Atlanta Atlanta, Georgia USA (1) To copyright the same in AAAI' ...
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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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