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Intelligence inWikipedia - Association for the Advancement of
Intelligence inWikipedia - Association for the Advancement of

... Contributing as a Non Primary Task Although tools already exist to help expert Wikipedia editors quickly make large numbers of edits [4], we instead want to enable contributions by the long tail of users not yet contributing [23]. In other words, we believe that pairing IIE with CCC will be most eff ...
The Next Step: Exponential Life 1 — PB
The Next Step: Exponential Life 1 — PB

... In this article, the authors report on actual transcripts from these tests as a basis to investigate just what it takes to fool a human interrogator and how examples of the use of humor and lying have affected decisions. In addition, we look at a series of cases in which human communicators have bee ...
Machine Intelligence and Robotics: Report of the NASA
Machine Intelligence and Robotics: Report of the NASA

... me to initiate the Software Valley project in West Virginia to strengthen the technological base and facilitate commercial development. It appears to me that all such activities are central to our future successes in space. The CMU-WVU Center can play an important role and provide a valuable nationa ...
ch07 - Home - KSU Faculty Member websites
ch07 - Home - KSU Faculty Member websites

... – Provide expertise needed at a number of locations at the same time or in a hostile environment that is dangerous to human health – Provide expertise that is expensive or rare – Develop a solution faster than human experts can – Provide expertise needed for training and development to share the wis ...
CV - Jeff Clune
CV - Jeff Clune

... 2016: Distinguished Young Investigator Award, International Society for Artificial Life. All students, postdocs, and pre-tenure faculty in the field worldwide were eligible. 2016: Outstanding Paper of 2015, International Society for Artificial Life. For our paper ‘Robots that can adapt like animals’ ...
Leveraging the upcoming disruptions from AI and IoT
Leveraging the upcoming disruptions from AI and IoT

... IoT with rapidly-advancing Artificial Intelligence (AI) technologies, which enable ‘smart machines’ to simulate intelligent behaviour and make wellinformed decisions with little or no human intervention. Over the coming years, ongoing advances in AI will have profound impacts on jobs, skills and HR ...
AGAINST NARROW OPTIMIZATION AND SHORT HORIZONS: AN
AGAINST NARROW OPTIMIZATION AND SHORT HORIZONS: AN

... fictitious final time, so that long-term future disadvantage often pays for short-term advantage. Compare the median income after 10 years with life-long earnings; compare angioplasty to coronary artery bypass graft; or compare the overuse of a baseball team's bullpen staff to win one game versus th ...
Probabilistic graphical models in artificial intelligence
Probabilistic graphical models in artificial intelligence

... methods mainly based on intuition. This was the case of INTERNIST-1 [6]. Some of these suffered from important inconsistencies, mainly due to the non-distinction between absolute and updated beliefs (beliefs that are obtained under certain given observations). This was also the case of INFERNO [7]. ...
CYBERCRIME
CYBERCRIME

... We must build our frameworks to understand these problems now Sense of urgency regarding the threat Cooperative agreements must be secured now, before it is too late, or the problem is literally beyond our comprehension. Care and consideration must be applied before connecting new devices to the net ...
An Overview of Planning Under Uncertainty
An Overview of Planning Under Uncertainty

... Goals of decision-theoretic planning A planning problem in AI is usually specified as follows: Given a description of the current state of some system, a set of actions that can be performed on the system and a description of a goal set of states for the system, find a sequence of actions that can ...
Determination, Uniformity, and Relevance: Normative
Determination, Uniformity, and Relevance: Normative

... system uses must be programmed in ahead of time, so that they are either explicitly represented in the knowledge base or derivable from it. Much of the research in machine learning, from the early days when the robot Shakey was learning macro-operators for action [29J to more recent work on chunking ...
Performance Analysis of Various Activation Functions in
Performance Analysis of Various Activation Functions in

... problems. These results demonstrate that it is possible to improve the ANN performance through the use of much effective activation function. According to our experimental study, we can say that the Tanh activation function can be used in the vast majority of MLP applications as a good choice to obt ...
Artificial Intelligence UNIT I Page 1 of 116 CSE– Dhaanish Ahmed
Artificial Intelligence UNIT I Page 1 of 116 CSE– Dhaanish Ahmed

... often quoted: “It is not my aim to surprise or shock you-but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until-in a visible future-the range of prob ...
If It Works, It`s Not AI: A Commercial Look at
If It Works, It`s Not AI: A Commercial Look at

... The goal of this thesis is to learn from the successes and failure of a select group of artificial intelligence (AI) firms in bringing their products to market and creating lasting businesses. I have chosen to focus on AI firms from the 1980s in both the hardware and software industries because the ...
INTELLIGENT AGENT full document
INTELLIGENT AGENT full document

... Daniel Kahneman proposes bounded rationality as a model to overcome some of the limitations of the rational-agent models in economic literature. As decision makers have to make decisions about how and when to decide, Ariel Rubinstein proposed to model bounded rationality by explicitly specifying dec ...
KBS - teachmath1729
KBS - teachmath1729

... techniques nor clever search algorithms but domain dependent real-world knowledge - Real-world problems do not have well-defined solutions - Expertise not laid down in algorithms but are domain dependent rules-of-thumb or heuristics (cause-and-effect) - KBS allow this knowledge to be represented in ...
An efficient factorization for the noisy MAX - CISIAD
An efficient factorization for the noisy MAX - CISIAD

... N ) for a noisy MAX at a polytree, and the multiplicative factorization by Takikawa and D’Ambrosio [28], whose complexity is O(max(2nY , nY · nX · N )) for a polytree, but has the advantage that it permits efficient elimination orderings for the variable-elimination algorithm and efficient triangula ...
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. ...
The AAAI 2006 Mobile Robot Competition and
The AAAI 2006 Mobile Robot Competition and

... present was guaranteed to be low, however, so that the robots would not be required to navigate through crowds. Unexpected, dynamic, and human interactions. A key aspect of the scavenger hunt competition is the potential for robots to interact with people present in the environment. This category as ...
Logic in Cognitive Science: Bridging the Gap between Symbolic and
Logic in Cognitive Science: Bridging the Gap between Symbolic and

... If the Church-Turing thesis is correct, then all computations performed by the human brain could, in theory, be reproduced on any device equivalent to a Turing machine, e.g. a modern computer (modulo sufficient time, memory, and processing power). The artificial reproduction of intelligence should b ...
The 25 International Joint Conference on Artificial Intelligence
The 25 International Joint Conference on Artificial Intelligence

... sometimes even mistrust of humans with a vision of successful cooperation and teaming between humans and AI systems and agents. The key idea is that human-machine teams can often achieve better performance than either alone. To enable this, AI techniques must not only accommodate humans in the decis ...
Ics 2405: Knowledge Based Systems
Ics 2405: Knowledge Based Systems

... Identify and discuss five aspects of human intelligence that could be used to characterize intelligent knowledge-based systems (10 marks) b) List the persons who determine the success of expert system and development ...
Introduction to The Soar Papers - Autonomous Learning Laboratory
Introduction to The Soar Papers - Autonomous Learning Laboratory

... The Soar project is an attempt to develop and apply a unified theory of human and artificial intelligence. At the core of this effort is an investigation into the architecture ! the fixed base of tightly-coupled mechanisms ! underlying intelligent behavior. This architecture then forms the basis for ...
AI Techniques for Personalized Recommendation Tutorial
AI Techniques for Personalized Recommendation Tutorial

... recommendation. The algorithms, applications, and interfaces presented will be illustrated through a set of case studies drawn from both research and commercial systems. The target audience comprises (a) attendees from industry who seek an authoritative update on recommendation technology; (b) AI re ...
AI in chemometrics
AI in chemometrics

... way of acting can be considered as „human” (caused by „human” intelligence) ...
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Existential risk from artificial general intelligence

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