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Tech breakthroughs megatrend: how to prepare for its impact
Tech breakthroughs megatrend: how to prepare for its impact

... CEOs don’t single out any particular catalyst that leads them to that conclusion. But we maintain that technological advancements are appearing, rapidly and simultaneously, in fields as disparate as healthcare and industrial manufacturing, because of the following concurrent factors: • Cheaper acc ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

...  Company background  Problem description  Proposed solution  Results  Answer and discuss the case questions ...
Intelligent Software Environment for Integrated Expert Systems
Intelligent Software Environment for Integrated Expert Systems

... Trends towards integration of research in different fields of artificial intelligence had most clearly manifested at the turn of the XX and the XXI centuries and made it necessary to combine semantically different objects, models, methodologies, concepts and technologies. It created new classes of p ...
IOSR Journal of Computer Engineering (IOSRJCE)
IOSR Journal of Computer Engineering (IOSRJCE)

... An expert system solves problems by simulating the human reasoning process and applying specific knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules ...
A Tractable Heuristic that Maximizes Global Utility through Local
A Tractable Heuristic that Maximizes Global Utility through Local

... assigned the task, or which the agent determines according to its local view. Thus, it can estimate the value or profit of successfully completing the plan, v(P(g~)). Note that we assume constant rewaxds (i.e., step utility functions for plans), which is the most general case, since heuristic method ...
Introduction to Computer Vision
Introduction to Computer Vision

... the same images on our retinas, there is no fool-proof way of distinguishing among the various structures or objects that might have created a particular image. Thus, if our goal is to infer the state of the world with certainty, then we are defeated from the start. In mathematical terms, vision is ...
An Effective Reasoning Algorithm for Question Answering System
An Effective Reasoning Algorithm for Question Answering System

... intelligent programs to perform the complicated task. In 1950s, Alan Turing presented a paper on Computing Machinery and Intelligence. The result of this paper was if a machine could pass certain test (known as Turing test) then it could be intelligent. In this paper Turing also considered a number ...
Logic in Cognitive Science: Bridging the Gap between Symbolic and
Logic in Cognitive Science: Bridging the Gap between Symbolic and

... It should be obvious that a connective ⇒ which satisfies Loop need not be as strong as the material conditional of classical logic. The material conditional satisfies transitivity (A → B and B → C imply A → C), and Loop is an immediate consequence of transitivity (while the converse is not true). Ho ...
Machine Intelligence and Robotics: Report of the NASA
Machine Intelligence and Robotics: Report of the NASA

... [WVU, CMU, and other background material] I have been impressed with current ongoing research in Artificial Intelligence and Robotics at CMU and WVU and proposed activities in Space Robotics. Many of these have their origins in the Sagan-Reddy report on Machine Intelligence for Space. This report, p ...
Expert system - Assignment Point
Expert system - Assignment Point

... operate on variable facts, i.e. facts the value of which changes several times during one reasoning. This is considered a property belonging to more powerful logic. This is the case of the Mycin and Dendral expert systems, and of, for example, fuzzy logic, predicate logic (Prolog), symbolic logic an ...
1 Are Empathy and Morality Linked? Insights from Moral Psychology
1 Are Empathy and Morality Linked? Insights from Moral Psychology

... accepted common ground than basing them on more erratic, individual emotions. Due to the conclusion that morality requires both emotional and rational components, scholars who argued that emotion and rationality mutually exclude each other in moral judgments ran into the logical impossibility of ma ...
Michael Arbib and Laurent Itti: CS564
Michael Arbib and Laurent Itti: CS564

... If the evaluation function can be made to score each board configuration according to its true promise of eventually leading to a win, then the best strategy for playing is to myopically select each move so that the next board configuration is the most highly scored. If the evaluation function is op ...
Thesis edit2 - University of Tilburg
Thesis edit2 - University of Tilburg

... Although the question of moral innateness is of importance for understanding morality and ourselves, it is not novel. Over time, many philosophers and scientists have asked themselves the very same question. Biologists have tried to find answers in the search for a moral faculty in the brain (see e. ...
Intelligent Environmental Decision Support Systems - Model
Intelligent Environmental Decision Support Systems - Model

... Over the last few decades, lllathematicall statistical models, numerical algorithms and cOtnputer simulations have been used as an appropriate means to gain insight into environmental Inanagemcnt probleIlls and provide useful infonnation to decision makers. To this end, a wide set of scientific tech ...
Chapter 13 Uncertainty
Chapter 13 Uncertainty

... • Atomic event: A complete specification of the state of the world about which the agent is uncertain E.g., if the world consists of only two Boolean variables Cavity and Toothache, then there are 4 distinct atomic ...
Inferring Robot Actions from Verbal Commands Using Shallow
Inferring Robot Actions from Verbal Commands Using Shallow

... language processing (NLP), challenges also remain in other areas of NLP, such as syntactic and semantic analysis. Even if these problems would be solved, a general method to generate correct robot responses to speech requires a level of intelligence that is out of reach for current research in both ...
essentials of expert system and its applications
essentials of expert system and its applications

... The Artificial Intelligence is concerned with the development of intelligent system. Here system imitates the human capabilities of thinking and sensing. AI has systems the replicates the human decision making capabilities for well-defined problems. In robotics the controlling software uses AI. The ...
Toward a Concept of Ethical Ecology of Corporate Leadership
Toward a Concept of Ethical Ecology of Corporate Leadership

... faulty accounting or poor regulation, though both of those factors were-and are-very important. Rather, it failed be- ...
AI in chemometrics
AI in chemometrics

... • Factor design • Cluster analysis • Relation modelling • Classifiers • PCA • Pattern recognition ...
agents-StudentVersion - The Computer Science Department
agents-StudentVersion - The Computer Science Department

... – How can self-interested agents recognize conflict, and how can they (nevertheless) reach agreement? – How can autonomous agents coordinate their activities so as to cooperatively achieve goals? • These questions are all addressed in part by other disciplines (notably economics and social sciences) ...
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 ...
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning

... al have contributed a number of theoretical results that are of primary importance for accommodating change in evolving knowledge-based systems. More precisely, they have proposed a generalization of the most salient theory of belief revision and updating, namely the AGM theory of change. This gener ...
Ics 2405: Knowledge Based Systems
Ics 2405: Knowledge Based Systems

... a) A knowledge based systems (kbss) are developed to deal with particular application domain in which alternative techniques are unable to produce reliable and manageable solutions. Identify and discuss five aspects of human intelligence that could be used to characterize intelligent knowledge-based ...
The neural basis of moral cognition
The neural basis of moral cognition

... have revealed consistent involvement of the anterior prefrontal cortex (aPFC) and superior temporal sulcus (STS) region, as well as the anterior temporal lobes (aTL) and limbic structures. Panels a–e depict a transverse slice showing the activation of the aPFC (frontopolar cortex, Brodmann’s areas 9 ...
Eleanor Dare - Department of Computing
Eleanor Dare - Department of Computing

... characterises individuals as ‘capable of making and testing hypotheses – a model which is based on an exclusively rational idea of ‘man the scientist’. In many ways this is, (at least at first glance) a socially inclusive, democratic methodology, but it takes no account, writes Henriques, "of the ‘e ...
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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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