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Natural and Artificial Systems: Compare, Model or - PUMA
Natural and Artificial Systems: Compare, Model or - PUMA

... methodological processes have not specified a target system for this purpose, as modeling a learning mechanism would do [5]. What this ER experiment did show is that while an organism can evolve processes which enable it to learn, the actual mechanisms that emerged can only be used to help build con ...
The differences between Sentiment Analysis and Artificial
The differences between Sentiment Analysis and Artificial

... Second generation artificial intelligence mostly revolves around the use of artificial neural networks - in our case the convolutional neural network. A History of Neural Networks The NYT covers this and Wikipedia also, for a long time, it was assumed by some of the smartest people in the world and ...
The Project ENTs: Towards Modeling Human
The Project ENTs: Towards Modeling Human

... why these people find it difficult to develop h-agents, follow: a) Non-computer researchers usually cannot code in C++ or Java, therefore they are not able to build new h-agent or their environments from scratch. b) Students are often not able to see “the gap” between theory (i.e., artificial intell ...
MIT mobile robots-what`s next? - Cooperative Robotics Research
MIT mobile robots-what`s next? - Cooperative Robotics Research

... duce intelligent systems which operate in the real world so t h a t we can learn more about the nature of intelligence. The second is to develop m a s s producible, low-cosi robots, as robots can be more useful t o people if more people have them, even if they have only limited intelligence. This id ...
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence

... Fractionated control of finger movements is not possible at this stage of reflex grasping so it is unlikely that the premotor specialisation for the different types of grasp (e.g., precision grasp, side grasp) has been formed at this age. During these 3-4 weeks in which motor primitives* for graspin ...
Computational Intelligence and Active Networks
Computational Intelligence and Active Networks

... Whereas genetic algorithms include a variety of operators (for example, mutation, cross-over and reproduction), evolutionary programs use only mutation. As such, an evolutionary program can be viewed as a special case of a genetic algorithm. ...
Brand-turing_short
Brand-turing_short

... Universal social machines? Manuella Veloso: Universal robots? Ron Brachman (description logic; AI; VP Yahoo! Labs): If intelligence is like athleticism in that there is no single sport metric, what is our aim? ...
Artificial Participation: An Interview with Warren Sack* Preface: Joseph Dumit
Artificial Participation: An Interview with Warren Sack* Preface: Joseph Dumit

... think about how much you are invested in automatic ways of conversing. The computer program ELIZA has been doing this since 1966, but as Sack discusses below, programs that ask questions rather than answer them never became a focus of the artificial intelligence community. Sack has therefore located ...
The Evolution of General Intelligence
The Evolution of General Intelligence

... population’s history. Speciation is also used to nurture new innovations in network structure that might otherwise be lost due to their low initial fitnesses. In this paper, the NEAT algorithm was used to evolve simple neural networks. These networks were trained on one cognitive task, but tested on ...
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence

... Tonic neurons (TNs) exhibit regular firing at a rate that is related (in a nonlinear way) to eye position during and after saccades. The gain of burst cells is very large, to keep the duration of saccades as small as possible by generating a high velocity movement when any appreciable motor error ex ...
Intelligent Automation
Intelligent Automation

... financial services, this paper offers a number of perspectives on what we see unfolding today; How did we get here? What is currently relevant? And what might the future hold? In our view, banks currently face a number of specific problems for which intelligent automation – and within this the capab ...
Special Session on Swarm Intelligence for Global Optimization 2013
Special Session on Swarm Intelligence for Global Optimization 2013

... Algorithms/ techniques based on Swarm Intelligence (SI) are based on the socio cooperative behavioral pattern displayed by various species like birds, bees, termites, ants etc. During the past decade, algorithms based on SI have emerged as potential candidates for solving complex and intricate globa ...
PPT
PPT

... world? • Single agent (vs. multi-agent): An agent operating by itself in an environment. Does the other agent interfere with my performance measure? ...
AAAI-08 will again include the Nectar Although papers will describe previously
AAAI-08 will again include the Nectar Although papers will describe previously

... track (new scientific and technical advances in research). This track aims to make the most significant AI results presented at other conferences in the last two years available to a broad AI audience. One important goal of the track is to offer researchers the opportunity to learn about areas with ...
The use of artificial intelligence techniques in preliminary structural
The use of artificial intelligence techniques in preliminary structural

... "Artificial intelligence is the study of ideas which enable computers to do the things that make people seem intelligent." [10] Ideas are being developed to facilitate the creation of knowledge-based systems using the experience and knowledge of experts; for example, Nii and Ailo are developing a pr ...
Rule - FUMblog
Rule - FUMblog

...  In order to think, someone or something has to have a brain, or an organ that enables someone or something to learn and understand things, to solve problems and to make decisions. So we can define intelligence as the ability to learn and understand, to solve problems and to make decisions.  The g ...
Multiple Intelligences: Gardner`s Theory Amy C. Brualdi
Multiple Intelligences: Gardner`s Theory Amy C. Brualdi

... the required math or language scores. Teachers must seek to assess their students' learning in ways which will give an accurate overview of their strengths and weaknesses. As children do not learn in the same way, they cannot be assessed in a uniform fashion. Therefore, it is important that a teache ...
17. FARS to Language (2001) - USC
17. FARS to Language (2001) - USC

... Imitation is the generic attempt to reproduce movements performed by another, whether to master a skill or simply as part of a social interaction. By contrast, pantomime is performed with the intention of getting the observer to think of a specific action or event. It is essentially communicative in ...
Moral Decision Making Frameworks for Artificial Intelligence
Moral Decision Making Frameworks for Artificial Intelligence

... morally right or wrong in a wide range of situations. This, of course, also requires the agent to have a language in which to represent the structure of the actions being judged (Mikhail, 2007) and the morally relevant features of actions (Gert, 2004) along with rules about how these features intera ...
Critical Technical Practice as a Methodology for - alumni
Critical Technical Practice as a Methodology for - alumni

... driven by a worldview that complex phenomena may be understood and predicted by identifying and separating discrete, operational parts. This approach does identify new values to design for, but is less concerned with explicating, or challenging, the values that go into the design practice itself. An ...
The Drake Equation - d
The Drake Equation - d

... – Projecting trends – Building representative models – Using computers to simulate complex situations ...
Three Alternative Scenarios of Work/Technology 2050 - PUC-SP
Three Alternative Scenarios of Work/Technology 2050 - PUC-SP

... and adapt to many conditions for many purposes. This is somewhat like human general intelligence. AGI re-writes its own code based on feedback from IoT, cloud analytics, and human interactions to become smarter and smarter every day. Artificial super intelligence (ASI) – beyond AGI – is thought of a ...
Application of multi-agent systems and ambient intelligence
Application of multi-agent systems and ambient intelligence

... relevant information on behalf of users or other agents preferably just-in-time. An intelligent system should be adaptive, flexible and robust (Florian, 2003). It must be able to react to situations which are similar to previous and adapt to new situations and to the changes in its environment. The ...
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1 1 1 1 1 1 1 0 0 0 0 0 0 0 parents cut cut 1 1 1 0 0 0 0 0 0 0

... Movie Artificial Intelligence by Steven Spielberg Five year studies at universities of Utrecht, Amsterdam, Groningen and Maastricht ...
Competition Website
Competition Website

... In recent years, poker has emerged as an important, visible challenge problem for the field of AI. Just as the development of worldclass chess-playing programs was considered an important milestone in the development of intelligent computing, poker is increasingly being seen in the same way. An impo ...
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Existential risk from artificial general intelligence

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