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Artificial Intelligence and Artificial Consciousness: Continuum or
Artificial Intelligence and Artificial Consciousness: Continuum or

... research • It’s not clear how this works when trying to bridge the gap between human and artificial minds! – Perhaps any artificial consciousness will necessarily have to participate in intersubjectivity, on this view. – But of course there isn’t the same biological commonality between human and mac ...
2012-09-26 - Computer Science
2012-09-26 - Computer Science

... • W. McCulloch, W. Pitts (1943): artificial neural nets • D. Hebb (1949): Hebbian learning • A. Turing (1950): Computing Machinery and Intelligence • 1956: birth of AI ...
Selfishness, Interdependence and the Algorithmic Execution of
Selfishness, Interdependence and the Algorithmic Execution of

... • Much more robust to changed circumstances than out our artificial systems. • Much quicker to learn or adapt than any of our machine learning algorithms1 • Behave in a way which just simply seems life-like in a way that our robots never do ...
experts
experts

... Knowledge acquisition is the process of acquiring the knowledge from human experts or other sources (e.g. books, manuals) to solve the problem. the knowledge acquisition process primarily involves a discussion between the knowledge engineer and the human expert. A knowledge engineer can also use int ...
Over two decades of innovative applications of AI at AIAI
Over two decades of innovative applications of AI at AIAI

... Artificial Intelligence Applications Institute Over two decades of innovative applications of AI at AIAI. Some of our key achievements include:  Formation - a system to lay out all British Telecom Yellow Pages directories and to create a new business area for Pindar Set Ltd for responsive marketing ...
Datasheet (0.1MB PDF File)
Datasheet (0.1MB PDF File)

... Artificial Intelligence Applications Institute Over two decades of innovative applications of AI at AIAI. Some of our key achievements include: ⎯ Formation - a system to lay out all British Telecom Yellow Pages directories and to create a new business area for Pindar Set Ltd for responsive marketing ...
Knowledge Engineering and Software Engineering
Knowledge Engineering and Software Engineering

... Intelligent systems have been successfully developed in various domains based on techniques and tools from the fields of knowledge engineering and software engineering. Thus, declarative software engineering techniques have been established in many areas, such as knowledge systems, logic programming ...
2. Case-Based Reasoning
2. Case-Based Reasoning

... CBR arose out of research into cognitive science, most prominently that of Roger Schank and his students at Yale University [1, 2, 3 & 4]. It is relevant to the argument presented in this paper that CBR's origins were stimulated by a desire to understand how people remember information and are in tu ...
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An Introduction of Soft Computing Approach over Hard Computing

... networks, genetic algorithms, simulated annealing etc. In this paper we are using only Fuzzy Logic (FL) and Genetic Algorithm (GA) Techniques. FL and GAs have been successfully used for supply chain modeling and are particularly appropriate for this problem due to their capacity to tackle the inhere ...
NETWORK   AESTHETICS Warren Sack Abstract Film & Digital Media Department
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... workable alternative for thinking about the aesthetics of Internet interface design, this chapter will first explore how commonsense has been discussed and used in software, specifically artificial intelligence design. It is shown, historically, that the connections between aesthetic decisions and t ...
Network Aesthetics - social computing lab
Network Aesthetics - social computing lab

... commonsense, a workable approach to the aesthetics for Internet design must take into account the fact that commonsense is being produced and changed through the conversation itself. After looking at the history of AI, commonsense, and aesthetics, an alternative approach is outlined. Artificial Inte ...
Putting some (artificial) life into models of musical creativity
Putting some (artificial) life into models of musical creativity

... creativity has often been a solitary affair, constructing lone monolithic systems that come up with music by themselves. Instead, can we build a more socially-motivated group of interacting artificial agents, who then create music in this social context? The answer is yes—but to do so, we need to mo ...
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Making Music with AI: Some examples

... generative grammars has been, and continues to be, an important and very useful approach in music modeling (Lerdahl and Jackendoff [17]) Marvin Minsky in his well known paper Music, Mind, and Meaning [18] addresses the important question of how music impresses our minds. He applies his concepts of ...
Ron Paschke - World Bar Conference 2016
Ron Paschke - World Bar Conference 2016

... becoming unreliable because there is a physical limit to how many transistors you can squeeze into an integrated circuit.18 In any case, Moore’s law is a measure of computational power, not intelligence. In 2011 when IBM’s Watson computer triumphed over human champions in the quiz show Jeopardy! it ...
ppt - CSE, IIT Bombay
ppt - CSE, IIT Bombay

... Dennett, D. C. (1985) Can machines think? In: How we know, ed. ...
Intelligence, Control and the Artificial Mind
Intelligence, Control and the Artificial Mind

... human mindSanz et al. (1999b). The pursue of the complete human-like mind was never an objective in the field of intelligent control. Only some atomic human capabilities were sought to improve localized control systems performance. The many successes of AI in control notwithstanding, at the very hea ...
Planarian Studies by Artificial Intelligence
Planarian Studies by Artificial Intelligence

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definition of Intelligence

... Wikipedia suggests:Intelligence has been defined in many different ways including one's capacity for logic, understanding, self-awareness, learning, emotional knowledge, memory, planning, creativity, adaptive behavior, problem solving and self-control. It can be more generally described as the abili ...
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An Artist at RPI Who Draws on the Fu- ture

... 18, 2006 (thedartmouth.com ). “Fifty years after a group of about 10 young scientists first met to start the nascent field of artificial intelligence, some of them returned for a fiftieth anniversary conference this weekend entitled AI@50, the Dartmouth Artificial Intelligence Conference: The Next F ...
Ph. D RESEARCH PROPOSAL BY EWUNONU, TOOCHI CHIMA.
Ph. D RESEARCH PROPOSAL BY EWUNONU, TOOCHI CHIMA.

... energy and cost efficient optical nodes. At the hub of this, lies the Optical Networks, which have sustained its promise as an evolving technology with various potentials to revolutionise our everyday life. It continues also to derive applications in so many areas of which many are yet to be envisio ...
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Slide 1

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Lesson Plan - Dr.S.Sridhar

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Norges teknisk-naturvitenskapelige universitet
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... a) What is the Turing Test, and how is it related to the concept of Artificial Intelligence? b) What is a state space? List four important components of a state space, and explain the role of each of them. c) Use the predicates animal, dog, cat, owns, animal-lover, kills, and the constants Ole, Pusu ...
Preface May 1996 marks the  tenth  anniversary  of ... That f’n’st  workshop was hosted by the  Qualitative ...
Preface May 1996 marks the tenth anniversary of ... That f’n’st workshop was hosted by the Qualitative ...

... a broad range of research activitities. For a few years, qualitative reasoningwasthe area with the largest numberof submissions to AAAI.Several bookson qualitative reasoning, both in English and Japanese, have been published. Additional workshopson qualitative reasoning are nowregularly held in conj ...
Natural Language Processing Course
Natural Language Processing Course

... AI Involves Studying Human Thought Processes Representing Thought Processes on Machines ...
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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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