Rational Machines And Artificial Intelligence

Rational Machines And Artificial Intelligence Book PDF
✏Book Title : Rational Machines and Artificial Intelligence
✏Author : Tshilidzi Marwala
✏Publisher : Academic Press
✏Release Date : 2021-05-01
✏Pages : 232
✏ISBN : 9780128209448
✏Available Language : English, Spanish, And French

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✏Rational Machines and Artificial Intelligence Book Summary : Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts. Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective? Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets Discusses the application of Moore’s Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality

Artificial Intelligence Techniques For Rational Decision Making Book PDF
✏Book Title : Artificial Intelligence Techniques for Rational Decision Making
✏Author : Tshilidzi Marwala
✏Publisher : Springer
✏Release Date : 2014-10-20
✏Pages : 168
✏ISBN : 9783319114248
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence Techniques for Rational Decision Making Book Summary : Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

Causality Correlation And Artificial Intelligence For Rational Decision Making Book PDF
✏Book Title : Causality Correlation and Artificial Intelligence for Rational Decision Making
✏Author : Tshilidzi Marwala
✏Publisher : World Scientific
✏Release Date : 2015-01-02
✏Pages : 208
✏ISBN : 9789814630887
✏Available Language : English, Spanish, And French

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✏Causality Correlation and Artificial Intelligence for Rational Decision Making Book Summary : Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman–Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict. Contents:Introduction to Artificial Intelligence based Decision MakingWhat is a Correlation Machine?What is a Causal Machine?Correlation Machines Using Optimization MethodsNeural Networks for Modeling Granger CausalityRubin, Pearl and Granger Causality Models: A Unified ViewCausal, Correlation and Automatic Relevance Determination Machines for Granger CausalityFlexibly-bounded RationalityMarginalization of Irrationality in Decision MakingConclusions and Further Work Readership: Graduate students, researchers and professionals in the field of artificial intelligence. Key Features:It proposes fresh definition of causality and proposes two new theories i.e. flexibly bounded rationality and marginalization of irrationality theory for decision makingIt also applies these techniques to a diverse areas in engineering, political science and biomedical engineeringKeywords:Causality;Correlation;Artificial Intelligence;Rational Decision Making

Issues In Artificial Intelligence Robotics And Machine Learning 2013 Edition Book PDF
✏Book Title : Issues in Artificial Intelligence Robotics and Machine Learning 2013 Edition
✏Author :
✏Publisher : ScholarlyEditions
✏Release Date : 2013-05-01
✏Pages : 1209
✏ISBN : 9781490111216
✏Available Language : English, Spanish, And French

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✏Issues in Artificial Intelligence Robotics and Machine Learning 2013 Edition Book Summary : Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Expert Systems. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Expert Systems in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Artificial Intelligence And Its Impact On Business Book PDF
✏Book Title : Artificial Intelligence and its Impact on Business
✏Author : Wolfgang Amann
✏Publisher : IAP
✏Release Date : 2020-06-01
✏Pages : 213
✏ISBN : 9781648020759
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and its Impact on Business Book Summary : Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”.

📒Ways Of Thinking ✍ L Mérö

Ways Of Thinking Book PDF
✏Book Title : Ways of Thinking
✏Author : L Mérö
✏Publisher : World Scientific
✏Release Date : 1990-11-14
✏Pages : 260
✏ISBN : 9789814506847
✏Available Language : English, Spanish, And French

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✏Ways of Thinking Book Summary : This book goes right into the the causes and reasons of the diversity of ways of thinking. It is about the tricks of how our thinking works and about the efforts and failures of artificial intelligence. It discusses what can and cannot be expected of `intelligent' computers, and provides an insight into the deeper layers of the mechanism of our thinking.-An enjoyable piece of reading, this thought-provoking book is also an exciting mental adventure for those with little or no computer competence at all. Contents:The Diversity of Thinking:Logical ThinkingCommon SensePuzzles and ScienceWays of Thinking in Different CulturesLevels of ThinkingThe Building Blocks of Thinking:Cognitive SchemataThe Magic Number SevenSome Tens of Thousands of SchemataSome Tens of Thousands of What?A Challenge for ProgrammersFrom Beginners to GrandmastersProfession — Language — Way of ThinkingArtificial Intelligence at Candidate Master LevelThe Strength of Diversity:The Limits of RationalityHigh-Level Cognitive SchemataMystical ThinkingThe Trick of EvolutionAlternating the Reference SystemsBibliographySourcesIndex Readership: Computer scientists, psychologists, mathematicians and general. Review: “This is a recommended reading for everybody who is interested in basic problems and relations of computer science and human cognition.” T Vámos (Hungarian Acad. Sci.) “This very readable and highly enjoyable book explores the arguments and issues underlying the debate about the efficacy of artificial intelligence. The book will be of great interest, not only to computer scientists, mathematicians, engineers, psychologists, philosophers, biologists, and other experts in the field, but also the person without any background in computer science ... I only hope that I have conveyed, a little of the flavour of his truly enjoyable and thought-provoking book.” Eugene Clark Journal of Law and Information Science (Australia) “… this book provides some very enjoyable and thought provoking reading …”Tommy Dreyfus Educational Studies in Mathematics

Philosophy And Theory Of Artificial Intelligence Book PDF
✏Book Title : Philosophy and Theory of Artificial Intelligence
✏Author : Vincent C. Müller
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-08-23
✏Pages : 418
✏ISBN : 9783642316746
✏Available Language : English, Spanish, And French

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✏Philosophy and Theory of Artificial Intelligence Book Summary : Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Advances In Machine Learning Research And Application 2012 Edition Book PDF
✏Book Title : Advances in Machine Learning Research and Application 2012 Edition
✏Author :
✏Publisher : ScholarlyEditions
✏Release Date : 2012-12-26
✏Pages : 1932
✏ISBN : 9781464990694
✏Available Language : English, Spanish, And French

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✏Advances in Machine Learning Research and Application 2012 Edition Book Summary : Advances in Machine Learning Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Machine Learning. The editors have built Advances in Machine Learning Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Prerational Intelligence Book PDF
✏Book Title : Prerational Intelligence
✏Author : Holk Cruse
✏Publisher : Springer Science & Business Media
✏Release Date : 2000
✏Pages : 3
✏ISBN : 0792366654
✏Available Language : English, Spanish, And French

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✏Prerational Intelligence Book Summary : The focus of prerational intelligence is on the way animals and artificial systems utilize information about their surroundings in order to behave intelligently; the premise is that logic and symbolic reasoning are neither necessary nor, possibly, sufficient. Experts in the fields of biology, psychology, robotics, AI, mathematics, engineering, computer science, and philosophy review the evidence that intelligent behaviour can arise in systems of simple agents interacting according to simple rules; that self-organization and interaction with the environment are critical; and that quick approximations may replace logical analyses. It is argued that a better understanding of the intelligence inherent in procedure like those illustrated will eventually shed light on how rational intelligence is realised in humans. Readership: Scientifically literate general readers and scientists in all fields interested in understanding and duplicating biological intelligence.

Machine Learning For Healthcare Book PDF
✏Book Title : Machine Learning for Healthcare
✏Author : Rashmi Agrawal
✏Publisher : CRC Press
✏Release Date : 2020-12-09
✏Pages : 204
✏ISBN : 9781000221787
✏Available Language : English, Spanish, And French

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✏Machine Learning for Healthcare Book Summary : Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

What To Think About Machines That Think Book PDF
✏Book Title : What to Think About Machines That Think
✏Author : Mr. John Brockman
✏Publisher : HarperCollins
✏Release Date : 2015-10-06
✏Pages : 576
✏ISBN : 9780062425669
✏Available Language : English, Spanish, And French

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✏What to Think About Machines That Think Book Summary : Weighing in from the cutting-edge frontiers of science, today’s most forward-thinking minds explore the rise of “machines that think.” Stephen Hawking recently made headlines by noting, “The development of full artificial intelligence could spell the end of the human race.” Others, conversely, have trumpeted a new age of “superintelligence” in which smart devices will exponentially extend human capacities. No longer just a matter of science-fiction fantasy (2001, Blade Runner, The Terminator, Her, etc.), it is time to seriously consider the reality of intelligent technology, many forms of which are already being integrated into our daily lives. In that spirit, John Brockman, publisher of Edge. org (“the world’s smartest website” – The Guardian), asked the world’s most influential scientists, philosophers, and artists one of today’s most consequential questions: What do you think about machines that think?

Philosophy And Theory Of Artificial Intelligence 2017 Book PDF
✏Book Title : Philosophy and Theory of Artificial Intelligence 2017
✏Author : Vincent C. Müller
✏Publisher : Springer
✏Release Date : 2018-08-28
✏Pages : 316
✏ISBN : 9783319964485
✏Available Language : English, Spanish, And French

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✏Philosophy and Theory of Artificial Intelligence 2017 Book Summary : This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

Applications Of Artificial Intelligence Vii Book PDF
✏Book Title : Applications of Artificial Intelligence VII
✏Author : Mohan M. Trivedi
✏Publisher : Society of Photo Optical
✏Release Date : 1989
✏Pages : 1150
✏ISBN : UCSD:31822004144937
✏Available Language : English, Spanish, And French

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✏Applications of Artificial Intelligence VII Book Summary :

Artificial Intelligence And Economic Theory Skynet In The Market Book PDF
✏Book Title : Artificial Intelligence and Economic Theory Skynet in the Market
✏Author : Tshilidzi Marwala
✏Publisher : Springer
✏Release Date : 2017-09-18
✏Pages : 204
✏ISBN : 9783319661049
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Economic Theory Skynet in the Market Book Summary : This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Artificial Intelligence And Creativity Book PDF
✏Book Title : Artificial Intelligence and Creativity
✏Author : T. Dartnall
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-04-17
✏Pages : 458
✏ISBN : 9789401707930
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Creativity Book Summary : Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity.

📒Do The Right Thing ✍ Stuart Jonathan Russell

Do The Right Thing Book PDF
✏Book Title : Do the Right Thing
✏Author : Stuart Jonathan Russell
✏Publisher : MIT Press
✏Release Date : 1991
✏Pages : 200
✏ISBN : 0262181444
✏Available Language : English, Spanish, And French

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✏Do the Right Thing Book Summary : Like Mooki, the hero of Spike Lee's film "Do the Right Thing," artificially intelligent systems have a hard time knowing what to do in all circumstances. Classical theories of perfect rationality prescribe the "right thing" for any occasion, but no finite agent can compute their prescriptions fast enough. In Do the Right Thing, the authors argue that a new theoretical foundation for artificial intelligence can be constructed in which rationality is a property of "programs" within a finite architecture, and their behavior over time in the task environment, rather than a property of individual decisions. Do the Right Thing suggests that the rich structure that seems to be exhibited by humans, and ought to be exhibited by AI systems, is a necessary result of the pressure for optimal behavior operating within a system of strictly limited resources. It provides an outline for the design of new intelligent systems and describes theoretical and practical tools for bringing about intelligent behavior in finite machines. The tools are applied to game planning and realtime problem solving, with surprising results.

Universal Artificial Intelligence Book PDF
✏Book Title : Universal Artificial Intelligence
✏Author : Marcus Hutter
✏Publisher : Springer Science & Business Media
✏Release Date : 2006-01-17
✏Pages : 278
✏ISBN : 9783540268772
✏Available Language : English, Spanish, And French

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✏Universal Artificial Intelligence Book Summary : Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Analysis And Design Of Machine Learning Techniques Book PDF
✏Book Title : Analysis and Design of Machine Learning Techniques
✏Author : Patrick Stalph
✏Publisher : Springer Science & Business Media
✏Release Date : 2014-02-06
✏Pages : 155
✏ISBN : 9783658049379
✏Available Language : English, Spanish, And French

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✏Analysis and Design of Machine Learning Techniques Book Summary : Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills? The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain – at least to some extent. Therefore three suitable machine learning algorithms are selected – algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.

The Foundations Of Artificial Intelligence Book PDF
✏Book Title : The Foundations of Artificial Intelligence
✏Author : Derek Partridge
✏Publisher : Cambridge University Press
✏Release Date : 1990-04-26
✏Pages : 498
✏ISBN : 0521359449
✏Available Language : English, Spanish, And French

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✏The Foundations of Artificial Intelligence Book Summary : This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Organizational And Technological Implications Of Cognitive Machines Designing Future Information Management Systems Book PDF
✏Book Title : Organizational and Technological Implications of Cognitive Machines Designing Future Information Management Systems
✏Author : Nobre, Farley Simon
✏Publisher : IGI Global
✏Release Date : 2009-04-30
✏Pages : 338
✏ISBN : 9781605663036
✏Available Language : English, Spanish, And French

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✏Organizational and Technological Implications of Cognitive Machines Designing Future Information Management Systems Book Summary : "This book addresses the possible implications of cognitive machines for current and future organizations"--Provided by publisher.

Artificial General Intelligence Book PDF
✏Book Title : Artificial General Intelligence
✏Author : Joscha Bach
✏Publisher : Springer
✏Release Date : 2012-12-04
✏Pages : 381
✏ISBN : 9783642355066
✏Available Language : English, Spanish, And French

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✏Artificial General Intelligence Book Summary : This book constitutes the refereed proceedings of the 5th International Conference on Artificial General Intelligence, AGI 2012, held in Oxford, UK, in December 2012. The 34 revised full papers presented together with 4 invited keynote lectures were carefully reviewed and selected from 80 submissions. The papers are written by leading scientists involved in research and development of AI systems possessing general intelligence at the human level and beyond; with a special focus on humanoid robotics and AGI, cognitive robotics, creativity and AGI, the future evolution of advanced AGIs, and the dynamics of AGI goal systems.

Machine Learning And Knowledge Discovery In Databases Book PDF
✏Book Title : Machine Learning and Knowledge Discovery in Databases
✏Author : Toon Calders
✏Publisher : Springer
✏Release Date : 2014-09-01
✏Pages : 715
✏ISBN : 9783662448519
✏Available Language : English, Spanish, And French

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✏Machine Learning and Knowledge Discovery in Databases Book Summary : This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

📒Machine Learning ✍ Lawrence Birnbaum

Machine Learning Book PDF
✏Book Title : Machine Learning
✏Author : Lawrence Birnbaum
✏Publisher : Morgan Kaufmann
✏Release Date : 1991
✏Pages : 661
✏ISBN : UCSD:31822006444418
✏Available Language : English, Spanish, And French

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✏Machine Learning Book Summary : The proceedings of the Eighth International Workshop (ML91) held at Northwestern U., Evanston, Illinois, in June 1991. All papers contain new work, new results, or major extensions to prior work. Topics include automated knowledge acquisition, computational models of human learning, constructive ind

📒Artificial Intelligence ✍ Ronald Chrisley

Artificial Intelligence Book PDF
✏Book Title : Artificial Intelligence
✏Author : Ronald Chrisley
✏Publisher : Taylor & Francis
✏Release Date : 2000
✏Pages : 560
✏ISBN : 0415193346
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence Book Summary :

📒Artificial Intelligence ✍ Blay Whitby

Artificial Intelligence Book PDF
✏Book Title : Artificial Intelligence
✏Author : Blay Whitby
✏Publisher : Oneworld Publications Limited
✏Release Date : 2003
✏Pages : 144
✏ISBN : STANFORD:36105113643857
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence Book Summary : This jargon-free guide introduces the futuristic world of Artificial Intelligence, the science of creating machines that can think for themselves.

📒Rational Learning ✍ Jonathan Matthew Gratch

Rational Learning Book PDF
✏Book Title : Rational Learning
✏Author : Jonathan Matthew Gratch
✏Publisher :
✏Release Date : 1993
✏Pages : 32
✏ISBN : UIUC:30112121897968
✏Available Language : English, Spanish, And French

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✏Rational Learning Book Summary :

📒Artificial Intelligence ✍ Neeta Deshpande

Artificial Intelligence Book PDF
✏Book Title : Artificial Intelligence
✏Author : Neeta Deshpande
✏Publisher : Technical Publications
✏Release Date : 2009
✏Pages : 482
✏ISBN : 8184313373
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence Book Summary : Definition, What is A.I? Foundation of A.I., History, Intelligent Agents, Agent architecture, A. I. Application (E Commerce & Medicine), A. I. Representation, Properties of internal representation, Future of A.I., Production System, Issue in design of search programsLogic ProgrammingIntroduction, Logic, Logic Programming, Forward and Backward resoning, Forward and Backward chaining rules.Heuristic Search TechniquesHeuristic search , Hill Climbing, Best first search, mean and end analysis, constraint Satisfaction, A* and AO* Algorithm.Game PlayingMinimax search procedure, Alpha-beta cutoffs, Waiting for quiescence, Secondary searcKnowledge RepresentationBasic of knowledge representation, knowledge representation paradigms, Propositional logic, Inference Rules in Propositional logic, Knowledge representation using Predicate logic : Predicate calculus, Predicate and arguments, ISA hierarchy, Frame notation, Resolution, Natural deduction.Knowledge Representation using Non Montionic LogicTMS ( Truth Maintenance System ), Statistical and probabilistic reasoning Fuzzy- Logic ,Structure knowledge representation, Semantic-net, Frames, Conceptual dependency, Script.LearningWhat is Learning? Types of Learning (Rote, Direct instruction analogy, Induction, Deduction)PlanningBlock world, Strips, Implementation using goal stack, Non linear planning with goal stacks, Hierarichial planning, least commitment strategy.Advance AI TopicsNatural Language ProcessingIntroduction, Steps in NLP, Syntactic Processing, ATN, RTN, Semantic analysis, Discourse & Pragmatic processing.PereceptionPerception , Action, Robot Architecture.Neural NetworksIntroduction to neural networks and perception-qualitative analysis, Neural net architecture and applications.Expert systemUtilization and functionality, Architecture of expert system, Knowledge representation, Two case studies on expert systems.

Data Analysis Machine Learning And Applications Book PDF
✏Book Title : Data Analysis Machine Learning and Applications
✏Author : Christine Preisach
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-04-13
✏Pages : 719
✏ISBN : 354078246X
✏Available Language : English, Spanish, And French

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✏Data Analysis Machine Learning and Applications Book Summary : Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

📒Machine Learning Ecml 2001 ✍ European Conference on Machine Learning

Machine Learning Ecml 2001 Book PDF
✏Book Title : Machine Learning ECML 2001
✏Author : European Conference on Machine Learning
✏Publisher : Springer Science & Business Media
✏Release Date : 2001-08-23
✏Pages : 618
✏ISBN : 9783540425366
✏Available Language : English, Spanish, And French

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✏Machine Learning ECML 2001 Book Summary : This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.

Rational Design Of Polymer Dielectrics Using First Principles Computations And Machine Learning Book PDF
✏Book Title : Rational Design of Polymer Dielectrics Using First Principles Computations and Machine Learning
✏Author : Arun Kumar Mannodi Kanakkithodi
✏Publisher :
✏Release Date : 2017
✏Pages :
✏ISBN : OCLC:1196360245
✏Available Language : English, Spanish, And French

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✏Rational Design of Polymer Dielectrics Using First Principles Computations and Machine Learning Book Summary : While intuition-driven experiments and serendipity have guided traditional materials discovery, computational strategies have become increasingly prevalent and a powerful complement to experiments in modern day materials research. A novel approach for efficient materials design is â€rational co-design†, where high-throughput computational screening is used synergistically with experimental synthesis and testing. In this Thesis, the utility and promise of such an approach was demonstrated for the design of advanced polymer dielectrics for electrostatic energy storage applications. Density functional theory computations were applied to study the structural, electronic and dielectric properties of polymers, based on which targeted synthesis and property measurements were carried out for promising candidates. These co-design efforts led to the identification of potential replacements for present day â€standard†dielectrics (such as biaxially oriented polypropylene) not only by new organic polymer candidates within known generic polymer subclasses (e.g., polyurea, polythiourea, polyimide), but also by organometallic polymers, a hitherto untapped but promising chemical subspace. Further, the prospects of significantly accelerating the materials design process using state-of-the-art machine learning techniques were explored. Vast computational data generated as part of this work was mined for the development of accurate â€instant prediction’ and â€design’ models for the relevant properties of polymers. These models were converted into user-friendly polymer design tools, and along with the computational and experimental data, compiled in the form of a web-based application (http://khazana.uconn.edu/polymer_genome/) to facilitate the rapid design and discovery of polymer dielectrics.