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Class Player - Rose
Class Player - Rose

... A mapping of the bots contained in array list bots and which bots they can see out of enemyBots, represented as a Point with x corresponding to your bot. Point yourFlag ...
An Introduction to Artificial Intelligence and Legal Reasoning: Using
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... curiosity? To what extent and in what ways can artificial intelligence help real lawyers with real legal problems? [4] Computer programs can indeed solve legal problems. The fact that computer programs can model law is not necessarily simply of academic interest. Automated case research is one poten ...
Cyberfeminism and Artificial Life
Cyberfeminism and Artificial Life

... nor static. The ‘science wars’, based on the history of two cultures competing for a singular idea of value (Snow 1998 [1959]) and perpetuated by old fashioned institutional rivalry and insecurity (Gross and Levitt 1998 [1994]) are nothing if not futile. This is shown most clearly in the debates on ...
Development - Acceleration Studies Foundation
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... Technological “Cephalization” of Earth "No one can deny that a network (a world network) of economic and psychic affiliations is being woven at ever increasing speed which envelops and constantly penetrates more deeply within each of us. With every day that passes it becomes a little more impossible ...
CS2053
CS2053

... 5. Davis E.Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”, Addison Wesley, N.Y., 1989. 6. S. Rajasekaran and G.A.V.Pai, “Neural Networks, Fuzzy Logic and Genetic Algorithms”, PHI, 2003. 7. R.Eberhart, P.Simpson and R.Dobbins, “Computational Intelligence - PC Tools”, AP Pro ...
A Perspective on Machine Consciousness
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... is better to put down the expected traits of something being conscious (a fly being conscious, a new-born calf being conscious, a file protection system being conscious, etc.). Besides avoiding unnecessary abstraction and unproductive philosophical rigor, it serves another important purpose. It prov ...
Artificial Intelligence, Ontologies, and Common Sense
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... Minsky on the Vocabulary Problem • “To make our computers easier to use, we must make them more sensitive to our needs. That is, make them understand what we mean when we try to tell them what we want. […] If we want our computers to understand us, we’ll need to equip them with adequate knowledge.” ...
Associative Algorithms for Computational Creativity
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Mind Design II : Philosophy, Psychology, Artificial Intelligence
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Mind Design II : Philosophy, Psychology, Artificial Intelligence
Mind Design II : Philosophy, Psychology, Artificial Intelligence

... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...
Tort Liability for Artificial Intelligence and Expert Systems, 10
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Description Logics
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... This weak notion of agency is also that used in the emerging discipline of agent-based software engineering: ‘[Agents] communicate with their peers by exchanging messages in an expressive agent communication language. While agents can be as simple as subroutines, typically they are larger entities w ...
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A Computational Foundation for the Study of Cognition
A Computational Foundation for the Study of Cognition

... more computationally powerful than FSAs; there is a natural correspondence that associates every finite CSA with an FSA with the same input/output behavior. Of course infinite CSAs (such as Turing machines) are more powerful, but even leaving that reason aside, there are a number of reasons why CSAs ...
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AI Magazine - Winter 2014
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Artificial Intelligence – Agents and Environments

... Natural language is the substance with which this book is written, and metaphor and analogy are important devices that we, as users and producers of language ourselves, are able to understand and create. Yet understanding language itself and how it works still poses one of the greatest challenges in ...
AAAI 2017 Conference Program
AAAI 2017 Conference Program

... In recent months, there has been an upsurge in the attention given to robots and artificial intelligence and their inevitable destruction of the human race if we are not watchful. Whether your opinion sits on one side or the other, the fact remains; robots have already become a part of our society. ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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