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Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman

... often contrast starkly with those of natural evolution. For example, EAs are nearly always convergent, while a characteristic feature of natural evolution is its open-ended march towards greater diversity. These problems put into question the central abstraction of evolution as an optimizer (Lehman ...
AAAI-15 Sponsor Program Austin, Texas, USA January 25-29, 2015
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... Intelligence, we invite you to participate in the sponsor program for AAAI-15. The conference will be held January 25-29, 2015 in Austin, Texas, USA, and is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). The site of the conference will be the Hyatt Regency Austin ...
AI IN THE NEWS (Spring 2004)
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... deliberation) as one of the three pillars required for flexible, robust AI systems. On the other side of the coin, it has also been established that metacognition can actually interfere with performance. That is, metacognition is no panacea, and therefore one of the issues which requires further inq ...
Beyond AI: Artificial Dreams
Beyond AI: Artificial Dreams

... alone was seen as sufficient reason for performing an action. In other words, goals themselves were seen not only as a cause, but also as a purpose of certain action: no difference was perceived between having a goal and desiring a goal. For many tasks this simplifying approach to problem-solving wo ...
Is the post-human a post-woman? Cyborgs, robots, artificial
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... transhuman, nor with the notion of the posthuman as elaborated within the transhumanist discourse, even though it does not dismiss them either. In a previous article [21], I have outlined how Transhumanism and Posthumanism are two movements which cannot be assimilated, although they both reflect on ...
INTELLIGENT MANUFACTURING SYSTEM
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Designing an Automated Negotiator: Learning What to Bid and
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... existing opponent modeling techniques (to appear, see Section 3). In tandem with surveying the state of the art, we studied the performance of a variety of different opponent models, and we concluded that simple heuristics usually outperform more sophisticated methods such as Bayesian learning [2]. ...
Decision making with support of artificial intelligence
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... It is obvious that application of the exact methods for finding the solution is preferred. However, in some situations the exact solution by using the conventional tools and methods is complicated. For example, for several logical tasks it is more effective to apply logical programming tools, freque ...
1. Introduction - 서울대 : Biointelligence lab
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...  McCulloch and Pitts: Show that it is possible to compute any computable function by networks of artificial neurons. ...
AI Ch.1 - 서울대 Biointelligence lab
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...  McCulloch and Pitts: Show that it is possible to compute any computable function by networks of artificial neurons. ...
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Symmetry Breaking in Deterministic Planning as Forward Search
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... search as a leading techniques for deterministic domain-independent planning, in terms of both efficiency and robustness. Numerous admissible and non-admissible heuristics for domain-independent planning have been proposed, varying from cheap to compute and not very informative to expensive to compu ...
Quagents: A Game Platform for Intelligent Agents Chris Brown
Quagents: A Game Platform for Intelligent Agents Chris Brown

... of the three between two quagents. Only items are handled in the actual Quake program: money and information, being new to the Quake ontology, are handled in the quagent controllers. Our communication protocol (Barnum, Ferguson, & Brown 2004) is similar to the contract net (e.g., (Davis & Smith 1983 ...
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Reexamining Behavior-Based Artificial Intelligence
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... local to layers of modules [e.g. 4, 28]. Unfortunately, this promising approach was apparently smothered by the attractive simplicity and radicalism of his deemphasis on representation and centralized control. Of the researchers who did not immediately adopt “no representation” as a mantra, most at ...
Tutorial on Sounds of Silence" - B. Yegnanarayana
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... Goal of Artificial Intelligence The urge is to make machines more intelligent But in the process we are doing the opposite ...
WIP: Integrating Text and Graphics Design for Adaptive Information
WIP: Integrating Text and Graphics Design for Adaptive Information

... When explaining how to use a technical device humans will often utilize a combination of language and graphics. It is a rare instruction manual that does not contain illustrations. Multimodal presentation systems combining natural language and graphics take advantage of both the individual strength ...
3) know what software is used for
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... Schedule People, and Control Resources Project Managers Designed to assist in planning, scheduling, and controlling people, resources, and costs needed to complete a project Gantt Charts Uses bars and lines to represent a ...
INFO372 - Department of Computer Science
INFO372 - Department of Computer Science

... Rational behavior: doing the right thing; that which is expected to maximize goal achievement, given the available information; Doesn't necessarily involve thinking – e.g., blinking reflex – but thinking should be in the service of rational action; ...
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... orders given it by human beings except where such orders would conflict with the First Law. ...
The Cambridge Handbook of Artificial Intelligence
The Cambridge Handbook of Artificial Intelligence

... and The Cambridge Handbook of Cognitive Science (with William M. Ramsey, Cambridge, 2012). Stan Franklin is the W. Harry Feinstone Interdisciplinary Research Professor at the University of Memphis and Co-director of its Institute for Intelligent Systems. He is the author of Artificial Minds (1995) a ...
playing smart – artificial intelligence in computer games
playing smart – artificial intelligence in computer games

... the human mind works – a difficult undertaking since it is still unknown how the human mind works. Since then there have been a number of different trends in AI research. Since many areas of AI research overlap it is hard to find clear distinctions between the different approaches that were used, bu ...
Exponential Family Distributions
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... M. J. Black and Y. Yacoob. Recognizing facial expressions under rigid and non-rigid facial motions. In International Workshop on Automatic Face and Gesture Recognition, Zurich, pages 12–17, 1995. C. Bregler and S.M. Omohundro. Nonlinear manifold learning for visual speech recognition. In Fifth Inter ...
Regulating Artificial Intelligence Systems
Regulating Artificial Intelligence Systems

... most of Silicon Valley’s business titans and suggested that some government intervention might be wise in the case of artificial intelligence: I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that . . . . I’m ...
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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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