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Ten Years of the AAAI Mobile Robot Competition and Exhibition
Ten Years of the AAAI Mobile Robot Competition and Exhibition

... include human-robot interaction, navigation in dynamic environments with and without a map, and accepting and scheduling of prioritized subtasks (for example, “please take this paper to the registration desk”). To date, the challenge has drawn only a few participants in comparison to the other event ...
as a PDF
as a PDF

... It stands to reason that saving of energy we reach by two ways. By construction of building and quality of control. Control of involved plants like heating yield to solve plants of differential equations. Solution of this plant is however mathematically serious. But for all that are practically many ...
Artificial intelligence - National Open University of Nigeria
Artificial intelligence - National Open University of Nigeria

... In this guide you will find very useful information about this course, aims and objectives, what the course is about, what course materials you will be used, available services to support your learning, information on assignments and examination. It also offers you guidelines on how to plan your tim ...
ICT619 Intelligent Systems
ICT619 Intelligent Systems

...  Frames provide a natural, concise way to represent knowledge.  Frames are an early application of object-oriented programming for expert systems.  A knowledge engineer refers to, what is an equivalent of an object in OOP, as a frame ...
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence

... to syntactic variants of specifications. They also provided an early treatment of indeterminate effects (indeterminate like that of tossing a coin, where the result is either heads or tails, but it is outside of the scope of the specification to say which) that had at that time only just begun to be ...
Systems Thinking in Complex Responsive Processes and Systems
Systems Thinking in Complex Responsive Processes and Systems

... generate and what they could generate to complement Human beings manage to get thinking about what systems currently do generate. What things done rather systems do not but could generate often reflect the cognitively non-transparent aspects of human systems, that intelligently, although the systems ...
Chapter 15: Is Artificial Intelligence Real?
Chapter 15: Is Artificial Intelligence Real?

... With respect to neural networks, all of the following are true EXCEPT: A. neural networks distribute knowledge throughout the network. B. neural networks store information in the same way as traditional computers. C. neural networks use distributed, parallel computing systems. D. neural networks con ...
Systems Engineering on the Dark Side of the Moon
Systems Engineering on the Dark Side of the Moon

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... results by computer but also formally verifying the correctness of (certain properties of) computer chip designs and programs and even deducing the programs themselves from formal specifications of the task. A less obvious application is the use of automated inference tools within programming langua ...
A Medical Diagnosis System based on MAS Technology and Neural
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... VivoMind Intelligence, Inc. Abstract. During the past half century, the field of artificial intelligence has developed a large number of theories, paradigms, technologies, and tools. Many AI systems are based on one dominant paradigm with a few subsidiary modules for handling exceptions or special c ...
Enhancing the Scientific Process with Artificial
Enhancing the Scientific Process with Artificial

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Cross-Paradigm Analysis of Autonomous Agent Architecture
Cross-Paradigm Analysis of Autonomous Agent Architecture

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Artificial Intelligence A Brief Introduction
Artificial Intelligence A Brief Introduction

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Embodied artificial intelligence
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... is not just that computers are involved in an engaged, participatory way with external subject matters, in other words, as suggested by some recent “situated” theorists. They are participatorily engaged in the world as a whole—in a world that indiscriminately includes themselves, their own internal ...
AAAI Proceedings Template
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... and forensics. It also examines the hybrids of these three techniques, and considers how they can be applied to computer security and forensics. Keywords computer security, forensics, neural networks, fuzzy logic, and evolutionary computation. ...
Economic reasoning and artificial intelligence
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... the form of game-theoretic algorithms, has provided an effective way for AIs to reason about other agents. The first example is computer poker. Although poker is an artificial game, many humans have invested a great deal of time and money to develop their playing skills. More important, poker’s unce ...
Economic reasoning and artificial intelligence
Economic reasoning and artificial intelligence

... the form of game-theoretic algorithms, has provided an effective way for AIs to reason about other agents. The first example is computer poker. Although poker is an artificial game, many humans have invested a great deal of time and money to develop their playing skills. More important, poker’s unce ...
CSE841 Artificial Intelligence 1 Objectives 2 Textbooks
CSE841 Artificial Intelligence 1 Objectives 2 Textbooks

... Instructor: Juyang (John) Weng, phone: 353-4388, e-mail: [email protected], home page: http://www.cse.msu.edu/~weng/ Office: 3144 Engineering Building Office hours: Wednesdays 5:00-6:00pm and Fridays 5:00-6:00pm or by appointment. Emails and telephone calls are not good for asking technical questions ...
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Reinforcement Learning and the Reward
Reinforcement Learning and the Reward

... cation. Similarly, autonomous financial agents operate on very fast timescales that human operators cannot effectively respond to.4 When operators are not always able to determine an agent’s rewards, then (as we later show formally) dominance relationships can arise between action policies for that ...
MS Word Format - Artificial Intelligence Applications Institute
MS Word Format - Artificial Intelligence Applications Institute

... that underpins the I-X approach, and provides the framework for the representation used to describe processes and process products within I-X systems and agents. The forerunner of (Tate, 1996), when first designed, was intended to act as a bridge to improve dialogue between a num ...
Intelligent Systems Lecture 1 - Introduction
Intelligent Systems Lecture 1 - Introduction

... • Psychologists adopted the idea that humans and animals can be considered information-processing machines. Linguists showed that language use fits into this model. • Computer engineers provided the artifacts that make AI applications possibbe. AI programs tend to be large, and they could not work w ...
Sztuczna inteligencja - mity i rzeczywistość
Sztuczna inteligencja - mity i rzeczywistość

... Intelligence is at least as much into the links between our various aptitudes that into the various aptitudes themselves and it is a serious mistake to reduce intelligence to the aptitudes that support it. dr hab. inż. Joanna Józefowska, prof. PP ...
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AI winter

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later. There were two major winters in 1974–80 and 1987–93 and several smaller episodes, including: 1966: the failure of machine translation, 1970: the abandonment of connectionism, 1971–75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University, 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report, 1973–74: DARPA's cutbacks to academic AI research in general, 1987: the collapse of the Lisp machine market, 1988: the cancellation of new spending on AI by the Strategic Computing Initiative, 1993: expert systems slowly reaching the bottom, and 1990s: the quiet disappearance of the fifth-generation computer project's original goals.The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the ""American Association of Artificial Intelligence""). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the ""winter"" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the '80s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.Hypes are common in many emerging technologies, such as the railway mania or the dot-com bubble. An AI winter is primarily a collapse in the perception of AI by government bureaucrats and venture capitalists. Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that ""there's this stupid myth out there that AI has failed, but AI is around you every second of the day."" In 2005, Ray Kurzweil agreed: ""Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."" He added: ""the AI winter is long since over.""
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