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A Foundational Architecture for Artificial General Intelligence
A Foundational Architecture for Artificial General Intelligence

... processes, derived from human cognition, that we believe must be included in any AGI architecture. Where do we go from there? One possibility is to dive right in and attempt to build a full-blown AGI directly. This strategy, while surely ambitious, may well succeed. A second possible strategy might ...
Coming of Age of Artificial Intelligence
Coming of Age of Artificial Intelligence

... environment, people and data. These systems create more intuitive interactions and extend the capabilities of what either human or machine can do on their own. From coding to training AI enables intelligent systems that learn from a body of knowledge without analyzing and coding all business rules m ...
cs-171-01-Agents
cs-171-01-Agents

... It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. ...
cs-171-01-Agents_smrq16
cs-171-01-Agents_smrq16

... It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. ...
Expert Systems and Artificial Intelligence
Expert Systems and Artificial Intelligence

... • Understanding is BEHAVIORAL: Computers and Humans produce the same results Turing test ...
25. Dopamine and Planning - USC
25. Dopamine and Planning - USC

... Model performance in test phase When presentation of stimulus blue (line 1) was responded to with the correct act right (bottom line), the stimulus green was presented, which was followed by the reward presentation (line 1). (A) Successful planning in first trial. The signal coding for prediction o ...
Making Robots and Making Robots Intelligent
Making Robots and Making Robots Intelligent

... Stability/performance: Steady state velocity approaches desired velocity as K → ∞. No overshoot or oscillations. Disturbance rejection: Effect of disturbances (hills) approaches zero as K → ∞ Robustness: Results don’t depend on the specific values of b, m, or K for K large ...
daniel lowd - CIS Users web server
daniel lowd - CIS Users web server

... Summer 2004: Intern at Microsoft Research with Christopher Meek in Redmond, WA. Developed simple yet effective attacks against linear spam filters, testing filter robustness and promoting the development of more secure spam filters. June 2002 – September 2003: Research assistant for Jon Herlocker at ...
CSE 471/598 Introduction to AI
CSE 471/598 Introduction to AI

... • What is AI (many definitions of AI) – One definition: a field to enable computers with human-level intelligence with attempts to understand intelligent entities. ...
Machine translation and artificial intelligence
Machine translation and artificial intelligence

... The standard reaction to such syntactic results was to argue that this only showed the need for linguistic semantics, so as to reduce the "readings" in such cases to the appropriate one. Bar-Hillel's response was to argue that it was not a matter of semantic additions at all, but of the, for him, un ...
Semantic Web - University of Huddersfield
Semantic Web - University of Huddersfield

... A network of “simple” processing units that can be trained to simulate complex processing eg recognition ...
The BICA Cognitive Decathlon
The BICA Cognitive Decathlon

... An important aspect of human intelligence is the selfdirected ability to explore the environment and learn from it. Yet most problems AI systems face are well defined with clear goal. Perhaps a more difficult problem is discovering these goals in the first place. This task attempts to replicate the ...
Machine Humanity: How the Machine Learning of Today is
Machine Humanity: How the Machine Learning of Today is

... What does it take to succeed with machine learning — in terms of people, processes, and technology? What do organizations need to get right? JR: The people side can be challenging because the skills and talents needed are in high demand and often hard to come by. The key role is the data scientist, ...
REASONING ANd dECISION - Université Paul Sabatier
REASONING ANd dECISION - Université Paul Sabatier

... suggested, we can record that she preferred the second menu. It is these examples of the user’s preferences that will be the basis of the learning process. The problem is now to generalize these specific preferences, in order to obtain a total order relation over the possible menus. This induced rel ...
Artificial Intelligence - Personal Web Page
Artificial Intelligence - Personal Web Page

... Artificial Intelligence Artificial Intelligence is the field of study dedicated to the study and design of computational models that perform tasks that are typically considered “human”. These tasks may entail use of knowledge, reasoning, or physical abilities. ...
full text pdf
full text pdf

... and their own meanings to bear on those tweets that occasionally (and accidently) resonated with their times. For example, the word “woman” – first tweeted on May 14, 2014 – was retweeted 243 times and favorited 228 times not because followers found the word itself to be new or unusual, but because ...
The Science of Talent Management
The Science of Talent Management

... information, the entire genetic complement, all the hereditary material possessed by an organism. In other words, it is everything we could possible be. Geneticists used to think that if one could map the genes contained in the nucleus of each cell, which are made up of strands of chemicals called D ...
PhD Thesis in Cognitive Science
PhD Thesis in Cognitive Science

... very precise and objective. It is usually defined with synonymous words such as understanding, mind, mental ability, or with its sub-concepts like learning, reasoning, planning, etc. Is intelligence a unique ability of human beings or shared by other biological species too? Is it a biologically evol ...
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... development, requires the use of different types of knowledge: about the problem domain and the programming domain. It also requires many different steps in combining these types of knowledge into one final solution. There are various techniques in artificial intelligence (AI) from the standpoint of ...
Selected methods of artificial intelligence for Internet of Things
Selected methods of artificial intelligence for Internet of Things

... information systems. The network is available almost anywhere, at home, at work, also on mobile devices (phones, watches). People start to think to connect the Internet to almost all devices of everyday use, so they can communicate with each other by taking simple decisions for people and helping th ...
Business Intelligence: Optimization for Decision Making
Business Intelligence: Optimization for Decision Making

... The Original PSO model: is a simplified social model of determining nearest neighbors and velocity matching Initial objective: to simulate the graceful, unpredictable choreography of collision-proof birds in a flock Randomly initializes positions of birds ...
Improvisation without Representation: Artificial Intelligence and Music
Improvisation without Representation: Artificial Intelligence and Music

... famously stated that in place of computational representation, “the world is its own best model”. Brooks cites the theoretical work of Marvin Minsky as a source for his approach to designing intelligent robots. Both Minsky and Brooks describe decentralized, agent-based systems that could arguably be ...
Vitae - Rodney Nielsen
Vitae - Rodney Nielsen

... conceptual understanding. In David Wilson and H. Chad Lane (Eds.): Proceedings of the Twenty-First International Artificial Intelligence Researchers Society Conference, (FLAIRS08), pp 427-432, Coconut Grove, Florida, May 15-17, 2008. Published by the Association for the Advancement of Artificial Int ...
Expert systems/simulations
Expert systems/simulations

... inference engine used in the development of expert systems Prolog - Programming language used in the development of expert systems Forth - Programming language used in the development of expert systems R1/Xcon - Order processing SHINE Real-time Expert System - Spacecraft Health INference Engine STD ...
Vita  - CIS Users web server
Vita - CIS Users web server

... June 2010 – Present: Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2009 – June 2010: Acting Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2003 – August 2009: Research assistant for Pedro Dom ...
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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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