Author: Shan-Hwei Nienhuys-Cheng
Publisher: Springer Science & Business Media
ISBN: 9783540629276
Category : Computers
Languages : en
Pages : 440
Book Description
The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Foundations of Inductive Logic Programming
Author: Shan-Hwei Nienhuys-Cheng
Publisher: Springer Science & Business Media
ISBN: 9783540629276
Category : Computers
Languages : en
Pages : 440
Book Description
The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Publisher: Springer Science & Business Media
ISBN: 9783540629276
Category : Computers
Languages : en
Pages : 440
Book Description
The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Logical Foundations of Induction
Author: Muhammad Baqir As-Sadr
Publisher:
ISBN: 9781496034472
Category : Religion
Languages : en
Pages : 190
Book Description
This book is one of the many Islamic publications distributed by Ahlulbayt Organization throughout the world in different languages with the aim of conveying the message of Islam to the people of the world.You may read this book carefully and should you be interested to have further study on such publications you can contact us through www.shia.es Naturally, if we find you to be a keen and energetic reader we shall give you a deserving response in sending you some other publications of this Organization.
Publisher:
ISBN: 9781496034472
Category : Religion
Languages : en
Pages : 190
Book Description
This book is one of the many Islamic publications distributed by Ahlulbayt Organization throughout the world in different languages with the aim of conveying the message of Islam to the people of the world.You may read this book carefully and should you be interested to have further study on such publications you can contact us through www.shia.es Naturally, if we find you to be a keen and energetic reader we shall give you a deserving response in sending you some other publications of this Organization.
An Introduction to Probability and Inductive Logic
Author: Ian Hacking
Publisher: Cambridge University Press
ISBN: 9780521775014
Category : Mathematics
Languages : en
Pages : 326
Book Description
An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.
Publisher: Cambridge University Press
ISBN: 9780521775014
Category : Mathematics
Languages : en
Pages : 326
Book Description
An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.
Logical Foundations of Probability
Author: Rudolf Carnap
Publisher:
ISBN:
Category : Induction (Logic)
Languages : en
Pages : 636
Book Description
Publisher:
ISBN:
Category : Induction (Logic)
Languages : en
Pages : 636
Book Description
Argument and Inference
Author: Gregory Johnson
Publisher: MIT Press
ISBN: 0262337770
Category : Philosophy
Languages : en
Pages : 283
Book Description
A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences. This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion. After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization, and Bayes' rule. Each chapter ends with practice problems and their solutions. Appendixes offer additional material on deductive logic, odds, expected value, and (very briefly) the foundations of probability. Argument and Inference can be used in critical thinking courses. It provides these courses with a coherent theme while covering the type of reasoning that is most often used in day-to-day life and in the natural, social, and medical sciences. Argument and Inference is also suitable for inductive logic and informal logic courses, as well as philosophy of sciences courses that need an introductory text on scientific and inductive methods.
Publisher: MIT Press
ISBN: 0262337770
Category : Philosophy
Languages : en
Pages : 283
Book Description
A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences. This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion. After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization, and Bayes' rule. Each chapter ends with practice problems and their solutions. Appendixes offer additional material on deductive logic, odds, expected value, and (very briefly) the foundations of probability. Argument and Inference can be used in critical thinking courses. It provides these courses with a coherent theme while covering the type of reasoning that is most often used in day-to-day life and in the natural, social, and medical sciences. Argument and Inference is also suitable for inductive logic and informal logic courses, as well as philosophy of sciences courses that need an introductory text on scientific and inductive methods.
The Oxford Handbook of Islamic Philosophy
Author: Khaled El-Rouayheb
Publisher: Oxford University Press
ISBN: 0199917388
Category : Philosophy
Languages : en
Pages : 721
Book Description
The study of Islamic philosophy has entered a new and exciting phase in the last few years. Both the received canon of Islamic philosophers and the narrative of the course of Islamic philosophy are in the process of being radically questioned and revised. Most twentieth-century Western scholarship on Arabic or Islamic philosophy has focused on the period from the ninth century to the twelfth. It is a measure of the transformation that is currently underway in the field that, unlike other reference works, the Oxford Handbook has striven to give roughly equal weight to every century, from the ninth to the twentieth. The Handbook is also unique in that its 30 chapters are work-centered rather than person- or theme-centered, in particular taking advantage of recent new editions and translations that have renewed interest and debate around the Islamic philosophical canon. The Oxford Handbook of Islamic Philosophy gives both the advanced student and active scholar in Islamic philosophy, theology, and intellectual history, a strong sense of what a work in Islamic philosophy looks like and a deep view of the issues, concepts, and arguments that are at stake. Most importantly, it provides an up-to-date portrait of contemporary scholarship on Islamic philosophy.
Publisher: Oxford University Press
ISBN: 0199917388
Category : Philosophy
Languages : en
Pages : 721
Book Description
The study of Islamic philosophy has entered a new and exciting phase in the last few years. Both the received canon of Islamic philosophers and the narrative of the course of Islamic philosophy are in the process of being radically questioned and revised. Most twentieth-century Western scholarship on Arabic or Islamic philosophy has focused on the period from the ninth century to the twelfth. It is a measure of the transformation that is currently underway in the field that, unlike other reference works, the Oxford Handbook has striven to give roughly equal weight to every century, from the ninth to the twentieth. The Handbook is also unique in that its 30 chapters are work-centered rather than person- or theme-centered, in particular taking advantage of recent new editions and translations that have renewed interest and debate around the Islamic philosophical canon. The Oxford Handbook of Islamic Philosophy gives both the advanced student and active scholar in Islamic philosophy, theology, and intellectual history, a strong sense of what a work in Islamic philosophy looks like and a deep view of the issues, concepts, and arguments that are at stake. Most importantly, it provides an up-to-date portrait of contemporary scholarship on Islamic philosophy.
Logical Foundations of Artificial Intelligence
Author: Michael R. Genesereth
Publisher: Morgan Kaufmann
ISBN: 0128015543
Category : Computers
Languages : en
Pages : 427
Book Description
Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.
Publisher: Morgan Kaufmann
ISBN: 0128015543
Category : Computers
Languages : en
Pages : 427
Book Description
Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.
Choice and Chance
Author: Brian Skyrms
Publisher:
ISBN:
Category : Philosophy
Languages : en
Pages : 184
Book Description
Publisher:
ISBN:
Category : Philosophy
Languages : en
Pages : 184
Book Description
Foundations of Rule Learning
Author: Johannes Fürnkranz
Publisher: Springer Science & Business Media
ISBN: 3540751971
Category : Computers
Languages : en
Pages : 345
Book Description
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
Publisher: Springer Science & Business Media
ISBN: 3540751971
Category : Computers
Languages : en
Pages : 345
Book Description
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
Studies in Inductive Logic and Probability
Author: Rudolf Carnap (red.)
Publisher: Univ of California Press
ISBN: 9780520018662
Category : Mathematics
Languages : en
Pages : 274
Book Description
Publisher: Univ of California Press
ISBN: 9780520018662
Category : Mathematics
Languages : en
Pages : 274
Book Description