Textbook in PDF format The book explains why meaning is a part of the universe populated by life, and how organisms generate meanings and then use them for creative transformation of the environment and themselves. This book focuses on interdisciplinary research at the intersection of biology, semiotics, philosophy, ethology, information theory, and the theory of evolution. This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation. Notation Introduction Sequence Modeling Concept Proposed Implementation Evaluation Summary Thoughts on Future Research Bibliography Own publications Supervised student theses List of Figures List of Tables