By Ernst-Erich Doberkat
September 05, 2019
Collecting information previously scattered throughout the vast literature, including the author’s own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems. After an introduction to the ...
Edited
By Pascal Hitzler, Henrik Scharfe
June 14, 2017
Exploring fundamental research questions, Conceptual Structures in Practice takes you through the basic yet nontrivial task of establishing conceptual relations as the foundation for research in knowledge representation and knowledge mining. It includes contributions from leading researchers in ...
By Pascal Hitzler, Anthony Seda
June 14, 2017
Covering the authors’ own state-of-the-art research results, Mathematical Aspects of Logic Programming Semantics presents a rigorous, modern account of the mathematical methods and tools required for the semantic analysis of logic programs. It significantly extends the tools and methods from ...
Edited
By Qing Li, Timothy K. Shih
June 14, 2017
Computing is ubiquitous and if you think otherwise, that in itself might be the best evidence that it is so. Computers are omnipresent in modern life and the multimedia computing environment of today is becoming more and more seamless. Bringing together contributions from dozens of leading experts...
By Hitoshi Iba
November 08, 2016
Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the ...
By Umberto Straccia
September 05, 2013
Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing ...
