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What's the Difference? Psychology
What’s the Difference? Psychology offers crystal-clear explanations of the key psychology concepts you really need to know.
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Semiotics and Intelligent Systems Development
"This book assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems; it changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy"--Provided by publisher.
DECISION MAKING STYLE: Social and Creative Dimensions
As a leader or responsible person we often stuck with decision-making, It's our job to make decisions that are in the best interest of the whole organisation or to ourselves. We must consider the good of many, not of a few. This is a big responsibility and very often people don't appreciate our efforts. In fact, many times people get angry at us because of the decisions we make to help them. In this book we discuss decision-making style. Not the decision itself, but style. We hope that readers will appreciate this effort.
Strategic Economic Decision-Making
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes’ theory and inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes’ theorem, walking them through the theoretical phases of set and sample set selection, the axioms of probability, probability theory as it pertains to Bayes’ theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes’ model, and upon completion of the text readers will be able to mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes’ theory, and this brief will appeal to non-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.
What is Quantum Information?
Combining physics and philosophy, this is a uniquely interdisciplinary examination of quantum information science. Suitable as both a discussion of the conceptual and philosophical problems of this field and a comprehensive stand-alone introduction, this book will benefit both experienced and new researchers in quantum information and the philosophy of physics.
Probabilistic Approaches to Robotic Perception
This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations ...
Prospect Theory
What is Prospect Theory Prospect theory is a theory of behavioral economics, judgment, and decision making that was established by Daniel Kahneman and Amos Tversky in 1979. Prospect theory was named after the aforementioned scholars. The theory was taken into consideration when Kahneman was selected to receive the Nobel Memorial Prize in Economics in the year 2002. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Prospect theory Chapter 2: Behavioral economics Chapter 3: Risk aversion Chapter 4: Decision theory Chapter 5: Loss aversion Chapter 6: Expected utility hypothesis Chapter 7: Mental accounting Chapter 8: Allais paradox Chapter 9: Stochastic d...
