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As a drug detector dog handler with HM Customs & Excise, Pam Mackinnon searched all over the UK, from oil rigs to cruise ships, postal depots to airports, and vehicles to houses. Combining her detection skills with her work as a dog training and behaviour consultant, Pam developed the UK's most successful scentwork training programme that teaches all dogs to become detector dogs. With almost 30 years’ experience, you and your dog are in safe hands as Pam takes you through each stage of scentwork, beginning with introducing your dog to a specific scent, through starter searches, and on to advanced work, indoors and out. Aided by illustrations and full colour photographs of many different breeds at work, this manual will open up a whole new world of activities that you and your dog can enjoy together. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Arial}
Book Synopsis Detector dog by : Pam Mackinnon
Download or read book Detector dog written by Pam Mackinnon and published by Veloce Publishing Ltd. This book was released on 2017-05-05 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a drug detector dog handler with HM Customs & Excise, Pam Mackinnon searched all over the UK, from oil rigs to cruise ships, postal depots to airports, and vehicles to houses. Combining her detection skills with her work as a dog training and behaviour consultant, Pam developed the UK's most successful scentwork training programme that teaches all dogs to become detector dogs. With almost 30 years’ experience, you and your dog are in safe hands as Pam takes you through each stage of scentwork, beginning with introducing your dog to a specific scent, through starter searches, and on to advanced work, indoors and out. Aided by illustrations and full colour photographs of many different breeds at work, this manual will open up a whole new world of activities that you and your dog can enjoy together. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Arial}
Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.
Book Synopsis Autonomous Search by : Youssef Hamadi
Download or read book Autonomous Search written by Youssef Hamadi and published by Springer Science & Business Media. This book was released on 2012-01-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.
This text presents a theory of genius and creativity, based on the personality characteristics of creative persons and geniuses. It uses modern research into the causes of cognitive over-inclusiveness to suggest possible applications of these theories to c
Book Synopsis Genius by : Hans Jurgen Eysenck
Download or read book Genius written by Hans Jurgen Eysenck and published by Cambridge University Press. This book was released on 1995 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a theory of genius and creativity, based on the personality characteristics of creative persons and geniuses. It uses modern research into the causes of cognitive over-inclusiveness to suggest possible applications of these theories to c
Former Army MP Mercy Carr and her retired bomb-sniffing dog Elvis are back in Blind Search, the sequel to the page-turning, critically acclaimed A Borrowing of Bones It’s October, hunting season in the Green Mountains—and the Vermont wilderness has never been more beautiful or more dangerous. Especially for nine-year-old Henry, who’s lost in the woods. Again. Only this time he sees something terrible. When a young woman is found shot through the heart with a fatal arrow, Mercy thinks that something is murder. But Henry, a math genius whose autism often silences him when he should speak up most, is not talking. Now there’s a murderer hiding among the hunters in the forest—and Mercy and Elvis must team up with their crime-solving friends, game warden Troy Warner and search-and-rescue dog Susie Bear, to find the killer—before the killer finds Henry. When an early season blizzard hits the mountains, cutting them off from the rest of the world, the race is on to solve the crime, apprehend the murderer, and keep the boy safe until the snowplows get through. Inspired by the true search-and-rescue case of an autistic boy who got lost in the Vermont wilderness, Paula Munier's mystery is a compelling roller coaster ride through the worst of winter—and human nature.
Book Synopsis Blind Search by : Paula Munier
Download or read book Blind Search written by Paula Munier and published by Minotaur Books. This book was released on 2019-11-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Former Army MP Mercy Carr and her retired bomb-sniffing dog Elvis are back in Blind Search, the sequel to the page-turning, critically acclaimed A Borrowing of Bones It’s October, hunting season in the Green Mountains—and the Vermont wilderness has never been more beautiful or more dangerous. Especially for nine-year-old Henry, who’s lost in the woods. Again. Only this time he sees something terrible. When a young woman is found shot through the heart with a fatal arrow, Mercy thinks that something is murder. But Henry, a math genius whose autism often silences him when he should speak up most, is not talking. Now there’s a murderer hiding among the hunters in the forest—and Mercy and Elvis must team up with their crime-solving friends, game warden Troy Warner and search-and-rescue dog Susie Bear, to find the killer—before the killer finds Henry. When an early season blizzard hits the mountains, cutting them off from the rest of the world, the race is on to solve the crime, apprehend the murderer, and keep the boy safe until the snowplows get through. Inspired by the true search-and-rescue case of an autistic boy who got lost in the Vermont wilderness, Paula Munier's mystery is a compelling roller coaster ride through the worst of winter—and human nature.
This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
Book Synopsis Artificial Intelligence: A Systems Approach by : M. Tim Jones
Download or read book Artificial Intelligence: A Systems Approach written by M. Tim Jones and published by Jones & Bartlett Learning. This book was released on 2008-12-26 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence.
Book Synopsis The Handbook of Artificial Intelligence by : Avron Barr
Download or read book The Handbook of Artificial Intelligence written by Avron Barr and published by Butterworth-Heinemann. This book was released on 2014-05-12 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence.
The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R. This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).
Book Synopsis Modern Optimization with R by : Paulo Cortez
Download or read book Modern Optimization with R written by Paulo Cortez and published by Springer Nature. This book was released on 2021-07-30 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R. This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).
This Innovative Book On Artificial Intelligence (Ai) Uses The Unifying Thread Of Search To Bring Together The Major Application And Modeling Techniques That Use Symbolic Ai. Each Of The 11 Chapters Is Divided Into 3 Sections:# Section Which Introduces The Techniques# Section Which Develops A Low-Level (Pop-11) Implementation# Section Which Develops A High-Level (Prolog) ImplementationComprehensive Yet Practical, This Book Will Be Of Great Value To Those Experienced In Ai, As Well As To Students With Some Programming Background And Academics And Professionals Looking For A Precise Discussion Of Ai Through Search.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.
Book Synopsis Artificial Intelligence by : Christopher Thornton
Download or read book Artificial Intelligence written by Christopher Thornton and published by New Age International. This book was released on 2007 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Innovative Book On Artificial Intelligence (Ai) Uses The Unifying Thread Of Search To Bring Together The Major Application And Modeling Techniques That Use Symbolic Ai. Each Of The 11 Chapters Is Divided Into 3 Sections:# Section Which Introduces The Techniques# Section Which Develops A Low-Level (Pop-11) Implementation# Section Which Develops A High-Level (Prolog) ImplementationComprehensive Yet Practical, This Book Will Be Of Great Value To Those Experienced In Ai, As Well As To Students With Some Programming Background And Academics And Professionals Looking For A Precise Discussion Of Ai Through Search.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.
For the students of B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)
Book Synopsis Artificial Intelligence by : Rajiv Chopra
Download or read book Artificial Intelligence written by Rajiv Chopra and published by S. Chand Publishing. This book was released on 2012 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the students of B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)
Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Book Synopsis Intelligent Control by : Zi-Xing Cai
Download or read book Intelligent Control written by Zi-Xing Cai and published by World Scientific. This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
