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Searching with Partial Information
Searching with Partial Information

... states that it might get to, rather than single states • At each instant the agent has a belief of in which state it might be • Hence, the action happens in the power set ) of the state space , which contains 2| | belief states • A solution is now a path to that leads to a belief state, all of whose ...
MS PowerPoint 97/2000 format
MS PowerPoint 97/2000 format

... – We restrict Q( . | d ) to be a product distribution within each layer that is conditional on the binary states in the layer below and we can therefore compute it efficiently using a bottom-up recognition network. We call the model that uses a bottom-up recognition to minimize the bound as Helmholt ...
Artificial intelligence
Artificial intelligence

... science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents,"[1] where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] de ...
Biological Inspiration for Artificial Neural Networks
Biological Inspiration for Artificial Neural Networks

... double total=weightsummation(list); ...
Co-Designing Agents: A Vision
Co-Designing Agents: A Vision

... To at least some extent, these are also the concerns of software engineering. However, in the spirit of AI, I would want these tasks to be done by an intelligent agent based on the knowledge it has about itself, its capabilities, goals, plans, and past actions and experiences. To do this, it would h ...
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ethics training

... training as an extraneous expense when budgets are tight, but this is exactly when ethics training is needed most  Employees who tend toward the relativistic belief ...
Intelligent Situation-Aware Media and Presentations AAAI Press
Intelligent Situation-Aware Media and Presentations AAAI Press

... From: AAAI Technical Report WS-02-08. Compilation copyright © 2002, AAAI (www.aaai.org). All rights reserved. ...
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12. Biomimetics

... • Represents the studies and imitation of the methods, mechanisms, and processes normally utilized by nature. • The application of biological methods and systems found in nature to the study and design of engineering systems and technology ...
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ppt檔案

... The shift from “likely” to “very likely” as a scientific conclusion has strengthened the argument that governments and their citizens must take action to reduce the amount of carbon dioxide emitted into the atmosphere. We rely on science for predictions of likely consequences, but need to keep in mi ...
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... needed to solve problems in an intelligent manner, and developing strategies for searching for possible solutions to problems in an efficient and correct manner using these structures and operations. These are the issues of knowledge representation & searching, which together, form an important aspe ...
Outlook on Artificial Intelligence in the Enterprise 2016
Outlook on Artificial Intelligence in the Enterprise 2016

... term, it is already proving its immense value by helping organizations uncover new areas for revenue, increase productivity or pinpoint operational problems before they happen. While there is currently confusion about AI and how to best use it, its widespread adoption is inevitable. We predict that ...
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Eliezer Yudkowsky Singularity Institute for AI

... conscious experience and its sense of selfhood. • Or wants public recognition of personhood and resents social exclusion (inherently, not as a pure instrumental subgoal). • Or has pleasure/pain reinforcement and a complex powerful self-model. Eliezer Yudkowsky ...
Chapter 12 - Oxford University Press
Chapter 12 - Oxford University Press

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Outstanding Achievement @ IEEE Computational Intelligence
Outstanding Achievement @ IEEE Computational Intelligence

... games results at the competition, we know that the computer Go programs won 9 out of the total 22 games. The average performance of the computer Go programs is fast approaching to the professional level. On the full 19  19 board, programs have racked up a number of wins (but still a lot more losses ...
Computer Science as Empirical Inquiry : Symbols and Search Allen
Computer Science as Empirical Inquiry : Symbols and Search Allen

... – Symbol systems are collections of patterns and processes, the latter being capable of producing, destroying and modifying the former. – The most important properties of patterns is that they can designate objects, processes, or other patterns, and that, when they designate processes, they can be i ...
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sample research areas

... Chapter 20. Content and Link Structure Analysis for Searching the Web. 431 Chapter 21. Mobile Agent Technology for Web Applications. . . . 453 Chapter 22. Intelligent Virtual Agents and the WEB. . . . . . . . . . .481 Chapter 23. Data Mining in Network Security. . . . . . . . . . . . . . . .501 Chap ...
Lessons from The Turing Test - Cognitive Science Department
Lessons from The Turing Test - Cognitive Science Department

... Analogies between Machines and Humans? • One could say that humans are, like machines, subject to strict laws of nature: we can’t do anything other than what nature forces us to do. • And, one could say that humans are ‘programmed’ by other humans (through education, etc.). Indeed, just because the ...
Artificial Intelligence, Machine Learning, and Cognitive Computing: Market
Artificial Intelligence, Machine Learning, and Cognitive Computing: Market

... is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Cognitive Computing involves self-learn ...
CHAPTER 11 INTELLIGENT SYSTEMS IN BUSINESS Oleh
CHAPTER 11 INTELLIGENT SYSTEMS IN BUSINESS Oleh

... Case (continued…) What have we learned from this case??  how an intelligent system solved a difficult business problem by improving the communication and collaboration between the company and its customers  the intelligent system solution was integrated with other information technologies (CD-ROM ...
Three Alternative Scenarios of Work/Technology 2050 - PUC-SP
Three Alternative Scenarios of Work/Technology 2050 - PUC-SP

... general intelligence (AGI) passes human intelligence by most definitions and in most sectors of society. The Great Brain Race during the 2020s laid the foundation for the development of artificial general intelligence (AGI) in the 2030s. Artificial narrow intelligence (ANI) with single purposes such ...
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... better protect your computer from their often damaging effects. A computer virus attaches itself to a program or file so it can spread from one computer to another, leaving infections as it travels. Much like human viruses, computer viruses can range in severity: Some viruses cause only mildly annoy ...
a.  Title: Zen as a Social Ethics of Responsiveness
a. Title: Zen as a Social Ethics of Responsiveness

... contribute to religious ethics in today’s cross-cultural conversations. We first need to address the issue of fit. Present-day American social ethics is linked with Abrahamic (especially Christian) values. Does this present a fundamental theoretical challenge to basic Buddhist values as did the Hind ...
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SOFT COMPUTING AND HYBRID AI APPROACHES TO

... learning process, i.e. the net with all possible rules. This means that - at the early stage - the third layer has as many elements, as the product of the number of different MBFs assigned to the input variables. The approach leads to a combinatorial explosion, consequently, is suitable for building ...
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What is Computational Intelligence and where is it

... they write: “Computational intelligence is the study of the design of intelligent agents. [...] The central scientific goal of computational intelligence is to understand the principles that make intelligent behavior possible, in natural or artificial systems”. This could make their view of CI rathe ...
Advance Applications of Artificial Neural Network
Advance Applications of Artificial Neural Network

... networks at different stages, Neural networks are studied with respect to their learning processes and architecture structures like Human beings in artificial intelligence. A case study on some specific networks and related algorithms is followed and developed with regarding neural objects. The appl ...
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Ethics of artificial intelligence

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, concern with the moral behavior of artificial moral agents (AMAs).
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