The AI Way-TB-04


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




The AI Way-TB-08


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




The AI Way-TB-03


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




The AI Way-TB-05


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




The AI Way-TB-02


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




The AI Way-TB-01


Book Description

The AI Way! series comprises eight books for grades 1 to 8. As the title of the series indicates, the series introduces the learners to Artificial Intelligence. The series makes, the learners learn various concepts of computer science as a subject and has been designed to make learners aware of the areas where they can use/involve artificial intelligence. It makes the learners accomplished to deal with the constraints of the latest digital world. It caters to inquiry-oriented learning and a phenomenonbased approach that enables learners to interact with concepts and challenges from the real environment. Learning is organised as projects and learners develop their understanding and design skills holistically.




Research Grants Index


Book Description




Artificial Intelligence


Book Description

Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.




Path Integrals In Quantum Mechanics, Statistics, Polymer Physics, And Financial Markets (4th Edition)


Book Description

This is the fourth, expanded edition of the comprehensive textbook published in 1990 on the theory and applications of path integrals. It is the first book to explicitly solve path integrals of a wide variety of nontrivial quantum-mechanical systems, in particular the hydrogen atom. The solutions have become possible by two major advances. The first is a new euclidean path integral formula which increases the restricted range of applicability of Feynman's famous formula to include singular attractive 1/r and 1/r2 potentials. The second is a simple quantum equivalence principle governing the transformation of euclidean path integrals to spaces with curvature and torsion, which leads to time-sliced path integrals that are manifestly invariant under coordinate transformations.In addition to the time-sliced definition, the author gives a perturbative definition of path integrals which makes them invariant under coordinate transformations. A consistent implementation of this property leads to an extension of the theory of generalized functions by defining uniquely integrals over products of distributions.The powerful Feynman-Kleinert variational approach is explained and developed systematically into a variational perturbation theory which, in contrast to ordinary perturbation theory, produces convergent expansions. The convergence is uniform from weak to strong couplings, opening a way to precise approximate evaluations of analytically unsolvable path integrals.Tunneling processes are treated in detail. The results are used to determine the lifetime of supercurrents, the stability of metastable thermodynamic phases, and the large-order behavior of perturbation expansions. A new variational treatment extends the range of validity of previous tunneling theories from large to small barriers. A corresponding extension of large-order perturbation theory also applies now to small orders.Special attention is devoted to path integrals with topological restrictions. These are relevant to the understanding of the statistical properties of elementary particles and the entanglement phenomena in polymer physics and biophysics. The Chern-Simons theory of particles with fractional statistics (anyons) is introduced and applied to explain the fractional quantum Hall effect.The relevance of path integrals to financial markets is discussed, and improvements of the famous Black-Scholes formula for option prices are given which account for the fact that large market fluctuations occur much more frequently than in the commonly used Gaussian distributions.The author's other book on ‘Critical Properties of φ4 Theories’ gives a thorough introduction to the field of critical phenomena and develops new powerful resummation techniques for the extraction of physical results from the divergent perturbation expansions.




KI 2004: Advances in Artificial Intelligence


Book Description

This book constitutes the refereed proceedings of the 27th Annual German Conference on Artificial Intelligence, KI 2004, held in Ulm, Germany in September 2004. The 29 revised full papers presented together with 5 invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on natural language processing, knowledge representation and ontologies, planning and search, neural networks and machine learning, reasoning, and robotics and machine perception.