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Toward a General Logicist Methodology for Engineering Ethically
Toward a General Logicist Methodology for Engineering Ethically

... building well-formed formulas (wffs) from this alphabet, and, more importantly, a proof theory that precisely describes how and when one formula can be proved from a set of formulas. The semantic component includes a precise account of the conditions under which a formula in a given system is true o ...
artificial intelligence planning for generative computer aided process
artificial intelligence planning for generative computer aided process

... Thus, these planners are capable of finding solutions chaining action sequences to achieve goals or preconditions of other actions [3, 4]. Because of the declarative nature of the languages used by these planners and their working philosophy, they are more flexible than expert or rules based systems ...
sv-lncs - United International College
sv-lncs - United International College

... stimulus-response architecture. But the A.L.I.C.E. bot has at present more than 40,000 categories of knowledge, whereas the original ELIZA had only about 200. Another innovation was provided by the web, which enabled natural language sample data collection possible on an unprecedented scale. A.L.I.C ...
Computational Intelligence Methods
Computational Intelligence Methods

... Alan Turing - british mathematician and logician, AI pioneer Intelligent Machinery, (1947) - machines will learn from the experiences Herbert Simon - ML pioneer, wrote programs: Logic Theory Machine (1956) General Problem Solver (GPS) (1957) - possibly the first method of separating problem solving ...
Rule-Based System Architecture
Rule-Based System Architecture

... Boris Konev COMP210: Artificial Intelligence. Lecture 19. Propositional logic for knowledge representation. Inference systems. – p. 10/29 ...
study of difference between forward and backward reasoning
study of difference between forward and backward reasoning

... The inference engine is a computer program designed to produce reasoning on rules. In order to produce reasoning, it should be based on logic. With logic, the engine is able to generate new information from the knowledge contained in the rule base and data to be processed. The engine has two ways to ...
Hierarchical Knowledge for Heuristic Problem Solving — A Case
Hierarchical Knowledge for Heuristic Problem Solving — A Case

... non-optimality are essential to human-level intelligence.” In early AI research, most notably that of Newell and Simon (1972), research on artificial and natural cognition were pursued in parallel and findings from psychology were used as a basis for intelligent algorithms. This paper follows a simi ...
Lecture notes for week 5
Lecture notes for week 5

... guaranteed with no backtracking! ...
Computational Discovery of Communicable Knowledge
Computational Discovery of Communicable Knowledge

...  a syntax for concepts, skills, beliefs, and percepts  the ability to load and parse such programs  an interpreter for inference, execution, planning, and learning  a trace package that displays system behavior over time We have used this language to develop adaptive intelligent agents in a vari ...
Artificial Intelligence Applications by
Artificial Intelligence Applications by

... • Artificial Life • Molecular/DNA computation • Artificial Neural Nets Only the last topic will not be covered in this course as it appears in SCAs. Knowledge–based systems can solve problems for humans or help produce solutions. They can advise users on what to do in certain situations or suggest o ...
The Frankenstein Complex and Asimov`s Three Laws
The Frankenstein Complex and Asimov`s Three Laws

... used this same argument to delineate humans as the only creatures that possess a soul. To meddle in this area is to meddle in God’s domain. This fear of man broaching, through technology, into God’s realm and being unable to control his own creations is referred to as the “Frankenstein Complex” by I ...
Expert Systems and DSS
Expert Systems and DSS

... Expert systems reproduce the reasoning process a human decision maker would go through in reaching a decision, diagnosing a problem or suggesting a course of action. ...
Applications of Artificial Intelligence
Applications of Artificial Intelligence

... For each problem we can find a calculator which will solve the problem ! Gödel could show during the 20ties of the last century: PK1 (predicate logic of the first level) is not computable ! We have problems which are not computable ! ...
The Relevance of Intent to Human-Android Strategic Interaction and
The Relevance of Intent to Human-Android Strategic Interaction and

... the future is whether an android given such premises would conclude that Mr. X’s killing of Mr. Y was unintentional. In other words would the android attend to external realities that actually happened, such as Mr. X’s actual killing of Mr. Y by running him over, more readily than internal realities ...
Chapter 7 Slides
Chapter 7 Slides

... – Handle complex situations – Solve problems when important information is missing ...
Neural Networks and Evolutionary Computation
Neural Networks and Evolutionary Computation

... been employed as tools for escaping from local error minima of backpropagation–trained networks, and in [35] these concepts have been used to enable unsupervised learning networks to change their structure adaptively. A survey of formal models for describing the dynamics of genotype– phenotype evolu ...
Constraint Modelling: A Challenge for First Order Automated Reasoning (invited talk)
Constraint Modelling: A Challenge for First Order Automated Reasoning (invited talk)

... isomorphic subtrees of the search tree. Moreover, there can be thousands or millions of solutions isomorphic to a given one, meaning that almost all of the search is a waste of time and can be eliminated if the symmetries are detected early enough. A standard technique is to introduce “symmetry brea ...
Progress in Business Intelligence System research: A literature
Progress in Business Intelligence System research: A literature

... reference to their buying habits can reduce marketing cost by just mailing the promotional items to the specific group of buyers. [7] A Business Intelligence (BI) development project applied to Homogeneous Diagnostic Groups (GDH) which are very specific and important for health management. The main ...
Ten Challenges Redux: Recent Progress in Propositional
Ten Challenges Redux: Recent Progress in Propositional

... solvers competed on instances selected from thousands of benchmark problems. In 1997, we presented ten challenges for research on satisfiability testing [1], on topics that at the time appeared to be ripe for progress. In this paper we revisit these challenges, review progess, and offer some suggest ...
Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop
Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop

... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any 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 pap ...
iat.9.05 - Web Intelligence Consortium
iat.9.05 - Web Intelligence Consortium

... development of software for intelligent systems. ...
Application of Systemic Approach to Sophocles Global Specification
Application of Systemic Approach to Sophocles Global Specification

... which development involves numerous technologies and specialists from different engineering and scientific areas from electronics, and software engineering up to artificial intelligence, psychology and socio-cognitive science. From the practical perspective we can have many concrete systemic approac ...
Stojanov
Stojanov

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... [11] Ryan Brown, Ex Machina, http://themovieblog.com/2015/ex-machina-explores-the-suspenseful-morality-ofa-i/(10/2/2015) ...
A Review on Expert System and its Applications in Civil Engineering
A Review on Expert System and its Applications in Civil Engineering

... problems. One of the reason contributing to these problems is delay in decision making. This leads to need of mechanisms which can enable practitioners in making prompt decision. Hence, expert systems are investigated for seeking opportunities and studying applicability in construction projects to u ...
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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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