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Artificial Intelligence
Artificial Intelligence

... If a student cannot attend lectures/tutorials it is the student’s responsibility to find out what was discussed in lectures / tutorials (possible changes to assignments, questions & answers). ...
Empathetic Superintelligence
Empathetic Superintelligence

... 1. Physical Control of the Mind: Toward a Psychocivilized Society (1969) by José M. R. Delgado, M.D. http://www.wireheading.com/delgado 2. Investigating the genetic basis of altruism: the role of the COMT Val158Met polymorphism Martin Reuter, Clemens Frenzel, Nora T. Walter, Sebastian Markett, and C ...
What Are Ontologies, and Why Do We Need Them?
What Are Ontologies, and Why Do We Need Them?

... excited by some mechanism such as rule systems, frame languages, neural nets, fuzzy logic, constraint propagation, or unification. The mechanisms are proposed as the secret of making intelligent machines. At other times, we realize that, however wonderful the mechanism, it cannot do much without a g ...
Normative schemas
Normative schemas

... forward memory span of approximately seven items plus or minus two. The meeting opened possibilities for joining depictions of experimental psychology, theoretical linguistics and computer simulations of cognitive processes. In the same year Shannon, Marvin Minsky and John McCarthy organized worksho ...
PPT - Lehigh CSE - Lehigh University
PPT - Lehigh CSE - Lehigh University

... M. D. Lillibridge, M. Abadi, K. Bharat, & A. Z. Broder, “Method for Selectively Restricting Access to Computer Systems,” U.S. Patent No. 6,195,698, Filed April 13, 1998, Issued February 27, 2001. ...
A Logical Characterisation of Ordered Disjunction
A Logical Characterisation of Ordered Disjunction

... ordered and regular disjunctions. Other ASP extensions like CR-Prolog, have also incorporated the use of ordered disjunctions [1]. The semantics of an LPOD is defined in two steps. First, the program with ordered disjunctions is translated into a set of normal programs, called split programs, whose ...
Knowledge Engineering 2017
Knowledge Engineering 2017

... Robots, as opposed to machines with intelligence, are also studied. This chapter concludes with a discussion of an architecture for intelligence. Here, the need for standards, an idea first introduced in Chapter 3, is reemphasized, and virtual processing, a mental gaming process that "devises ways t ...
AutoTutor: A tutor with dialogue in natural language
AutoTutor: A tutor with dialogue in natural language

A client-server computational tool for integrated artificial intelligence
A client-server computational tool for integrated artificial intelligence

... dia for demonstrating AI techniques in the classroom. The ulator also provides a method for students to implement and test their own versions of these algorithms. We have developed a package of assignments with solutions that allow students to learn about a variety of AI techniques in the context of ...
AII and Heterogeneous Design with - ICAR
AII and Heterogeneous Design with - ICAR

... the planning process at each stage can make use of GF-diagrams[7,8], G-diagrams with free Skolemized trees, by taking the free interpretation, as tree-rewrite computations for the possible proof trees that correspond to each goal satisfiability. Suppose there are some basic Skolem functions f1,...,f ...
Chapter 23
Chapter 23

... • People tend to decide an intellectual activity is not thinking if it as algorithmic. Thinking is probably best defined as “what humans do”, and therefore something computers cannot do. • The Turing test is an experimental framework in which we can compare the reasoning capabilities of computers wi ...
A Logical Characterisation of Ordered Disjunction
A Logical Characterisation of Ordered Disjunction

... introducing an extension called disjunctive LPOD (DLPOD) that combines ordered and regular disjunctions. Other ASP extensions like CR-Prolog, have also incorporated the use of ordered disjunctions [1]. The semantics of an LPOD is defined in two steps. First, the program with ordered disjunctions is ...
Disjunctive Temporal Planning with Uncertainty
Disjunctive Temporal Planning with Uncertainty

... single-disjunct executable constraints. Thus, since a component STP arising with the second disjunct of (1) is consistent, the whole problem is trivially controllable. While so for this particularly simple example of a DTPU, more interesting DTPUs are not TC in general. ...
Natural Proof Search and Proof Writing
Natural Proof Search and Proof Writing

... strategies were not very satisfying from an practical perspective. Moreover, theorems were generally given to the provers as sets of clauses instead of first-order formulas. The language of clauses even became for some the language of automated proving. On the other hand, other methods were also dev ...
Web Intelligence (WI) - Web Intelligence Consortium
Web Intelligence (WI) - Web Intelligence Consortium

... “Web Intelligence (WI) can be characterized as the problems, theories, methodologies, and techniques studied by WI researchers.” • Everyone here will help define WI. • Your input and participation will help define WI. • WI will be judged by our achievements. ...
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One-class to multi-class model update using the class
One-class to multi-class model update using the class

... AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume, while the papers from STAIRS are published in a separate volume. ECAI 2016 also featured a special topic on Artificial Intelligence for Human Values, with a dedicated track and a public event in the Peace Palace in T ...
Orthogonality thesis - Future of Humanity Institute
Orthogonality thesis - Future of Humanity Institute

Redalyc.Rational versus Intuitive Outcomes of Reasoning with
Redalyc.Rational versus Intuitive Outcomes of Reasoning with

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... [44] Chiuc, C., Yih, Y. (1995). A learning based methodology for dynamic scheduling in distributed manufacturing systems. Int. J. Prod. Res., Vol. 33, No. 11, pp. 3217-3232. [45] Chryssolouris, G and Domroese, M., (1988). “Sensor integration for tool wear estimation in machining”, Proc. of the The W ...
The Singularity: A Reply
The Singularity: A Reply

... without much theoretical understanding; the theoretical understanding could come later once one can experiment easily with the emulation. And paths to AI such as artificial evolution and machine learning have the potential to take a route quite different from that of human intelligence, so that agai ...
Strong Cyclic Planning with Incomplete Information and Sensing
Strong Cyclic Planning with Incomplete Information and Sensing

... the logic ALCKN F (see (De Giacomo et al. 1997; Iocchi et al. 2000) for details). More specifically, we introduce a set of primitive properties (or fluents) P , that will be used to characterize the possible states of the world. The primitive fluents P may either be either predicates or terms contai ...
April 2005 - Interactive Intelligence Group
April 2005 - Interactive Intelligence Group

... The AI community flourishes as never before. This is evidenced by several factors. Just look at the number of Calls for Papers in this issue. Another witness is the start of a new university, in Luxembourg, including an AI department (see p. 28 of this issue). We hope that this will soon lead to the ...
Paper - Christian Muise
Paper - Christian Muise

... Here, we describe briefly the requisite planning background (cf. Ghallab et al. (2004) for a full treatment). A Fully Observable Non-Deterministic (FOND) planning problem consists of a tuple hF , I, Goal, Acti; F is a set of fluents, and we use S as the set of all possible states; I ⊆ F is the initi ...
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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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