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Converging on the Divergent - Association for Computational
Converging on the Divergent - Association for Computational

... behaviors. The study of creativity in AI is not new, but it is unusual. When Margaret Boden included a chapter on creativity in her textbook Artificial Intelligence and Natural Man (Boden 1977), colleagues asked, “Why on earth are you doing that?” (Boden 1999). Sometimes, it seems that creativity is ...
07_Artificial_Intelligence-ProblemSolvingMethods
07_Artificial_Intelligence-ProblemSolvingMethods

... depends on the following inferences: – propose – derives an initial design based on the requirements; – C-test – as before; – revise – tries to improve an incorrect design based on the feedback of the C-test step. ...
Document
Document

target function
target function

... • Uses training values for the target function to induce a hypothesis definition that fits these examples and hopefully generalizes to unseen examples. ...
PowerPoint 簡報 - 智慧型系統暨媒體處理實驗室
PowerPoint 簡報 - 智慧型系統暨媒體處理實驗室

... world and its knowledge, then explore the possibility and limitation of knowledge.  傳統的邏輯或數學體系是二元體系,無法處 理具有不確定性的問題或者對需要multiple truth values的問題之處理效率不足  你如何定義一個集合:老年人? ...
Joanna J. Bryson - Department of Computer Science
Joanna J. Bryson - Department of Computer Science

... of Emergent Group-Level Traits”. Jekaterina Novikova, Leonn Watts and Joanna J. Bryson, “The Role of Emotions in Inter-Action Selection”, commentary on Faragó et al. “Social behaviours in dog-owner interactions can serve as a model for designing social robots”, Interaction Studies, 15(2):216–223. K ...
Personified Systems - Eldacur Technologies
Personified Systems - Eldacur Technologies

AI Armageddon and the Three Laws of Robotics
AI Armageddon and the Three Laws of Robotics

... Shelly under the guise of Frankenstein’s monster (Shelley, 1818). The full title of Shelley’s novel is “Frankenstein, or The Modern Prometheus.” In Greek mythology Prometheus brought fire (technology) to humanity and, consequently, was soundly punished by Zeus. In medieval times, the story of Rabbi ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... Teresa Ko and Justin Basilico from Sandia National Labs proposed an integration of Sandia’s ABSS tool called Seldon with Sandia’s Cognitive Framework to model the idea propagation in human societies. Hong Jiang and Jose Vidal from the University of South Carolina proposed an extension of the BDI arc ...
Computational Discovery of Communicable Knowledge
Computational Discovery of Communicable Knowledge

... software engineering / multi-agent systems ...
Heuristic Planning for Hybrid Systems
Heuristic Planning for Hybrid Systems

... capabilities, and the Car domain shows the overhead generated by the SRPG under shortage of heuristic information. All test domains, problems and plans are available at: [Website ommitted for author anonymity]. Note that all figures in this sections have their Y axis in a logarithmic scale and for a ...
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI

... depends on the following inferences: – propose – derives an initial design based on the requirements; – C-test – as before; – revise – tries to improve an incorrect design based on the feedback of the C-test step. ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... Teresa Ko and Justin Basilico from Sandia National Labs proposed an integration of Sandia’s ABSS tool called Seldon with Sandia’s Cognitive Framework to model the idea propagation in human societies. Hong Jiang and Jose Vidal from the University of South Carolina proposed an extension of the BDI arc ...
Skeptical Reasoning in FC-Normal Logic Programs is Π1 1
Skeptical Reasoning in FC-Normal Logic Programs is Π1 1

... as the body of the clause. The ai ’s are the premises of the clause, and the bj ’s are the restraints of the clause. A logic program is a collection of normal program clauses. (These are sometimes called normal logic programs, but we will not use this terminology so as to avoid confusion with FC-nor ...
Planning - UTSA CS
Planning - UTSA CS

COMPUTER SCIENCE HANDBOOK 7TH SEMESTER(Click here to
COMPUTER SCIENCE HANDBOOK 7TH SEMESTER(Click here to

... 1) Define definition of regular expression. 2) Explain the various operations of reqular expression? 3) Describe the language consisting of all strings over∑={0,1) with at least 2 consecutive 0’s,using regular expression? 4) Represent the following languages using regular expression over ∑={0,1,2}-“ ...
Symposium: Legal Reasoning and Artificial Intelligence
Symposium: Legal Reasoning and Artificial Intelligence

... the significance of that distinction on behalf of the plaintiff (third row of Slide 3). It argues that the fact that the product was unique in Elcor is not an important distinction. It argues that the reason that that factor matters is that it shows that the product is valuable, that it has value. T ...
Artificial Intelligence
Artificial Intelligence

... The field of AI in Nijmegen is a practical synthesis of several established fields, with a substantiated focus on cognition and the brain. The connection between bachelor and master’s programme is very good, enabling a smooth transition. The programme could be more aware of its proven quality and ma ...
AISB/IACAP World Congress 2012 Natural Computing
AISB/IACAP World Congress 2012 Natural Computing

... about the possibility of computing this mental capacity. If we consider computationalism as defined in purely abstract syntactic terms then we are tempted to abandon it because human representation involves real world constrains. But, a new view of computationalism could be introduced that takes in ...
AISB/IACAP World Congress 2012 Natural Computing
AISB/IACAP World Congress 2012 Natural Computing

... about the possibility of computing this mental capacity. If we consider computationalism as defined in purely abstract syntactic terms then we are tempted to abandon it because human representation involves real world constrains. But, a new view of computationalism could be introduced that takes in ...
Research on Statistical Relational Learning at the
Research on Statistical Relational Learning at the

... integrated and massaged into a single table. This process typically consumes the majority of the resources of a machine learning project. A key part of the promise of SRL is its potential to reduce or bypass parts of it: a statistical relational learner could in principle gather its own data across ...
Reasoning in Argumentation Frameworks Using Quantified
Reasoning in Argumentation Frameworks Using Quantified

... In this paper, we propose an implementation of argumentation frameworks which is based on the satisfiability problem of quantified Boolean formulas (QBFs), an extension of classical propositional logic in which formulas may contain quantifications over propositional atoms. The motivation to consider ...
Toward AI for Human Beings: Human Centric AI Zinrai
Toward AI for Human Beings: Human Centric AI Zinrai

... 4. Features of Zinrai In conjunction with its announcement of Zinrai, Fujitsu has integrated AI technology into a structured system ahead of competitors (Figure 1). Let us take a look at the flow of data in Figure 1. First, the data is captured with sensors from the real world at the top of the fig ...
Anatomy
Anatomy

... Some view A.L.I.C.E. and AIML as a simple extension of the old ELIZA psychiatrist program. The comparison is fair regarding the 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 innov ...
Could Consciousness Emerge from a Machine Language?
Could Consciousness Emerge from a Machine Language?

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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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