£141.99

Morgan Kaufmann The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling

Name: The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling
Brand: Morgan Kaufmann
Price: 141.99 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 5 days • 5 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 5 days • 1 price levels

Days at Price

Price Analysis

Most common price: £142 (5 days, 100.0%)

Price range: £142 - £142

Price levels: 1 different prices over 5 days

Description

The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling equips readers with the tools to learn the foundational concepts of chaos, randomness, and determinism through examples and applied case studies. The book helps readers gain insight into how deterministic algorithms handle complex, chaotic data, providing an interdisciplinary exploration of chaos theory, determinism, and free will, grounded in scientific principles, computational models, and philosophical insights. The content builds on established theories in physics, bioinformatics, and systems biology, weaving them into broader existential questions. The material emphasizes the interplay between randomness, noise, and order, providing a fresh lens to view the universe and our place within it. The book connects these ideas to practical tools like random number generators and nonlinear equations, machine learning algorithms, computational and predictive models, extending their implications to biological systems, human thought, and decision-making. By addressing both scientific fundamentals and philosophical debates, the book bridges abstract ideas with real-world phenomena and demonstrates the role of randomness and noise in predictive models and simulations, helping readers understand the limits of computational systems in mimicking real-world processes. Helps readers understand the role of randomness and noise in predictive models and simulations Explores the limits of computational systems in mimicking real-world processes Presents insights into how deterministic algorithms handle complex, chaotic data Enables readers to learn foundational concepts of chaos, randomness, and determinism in a relatable way Provides many examples, case studies, and thought experiments that make abstract ideas tangible

Product Specifications

Brand: Morgan Kaufmann
Format: paperback
ASIN: 0443441936
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 05 November 2026
Listed Since: 22 April 2026

Barcode

No barcode data available

Morgan Kaufmann The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Models and Applications of Chaos Theory in Modern Sciences

Order and Chaos in Nonlinear Physical Systems (Physics of Solids and Liquids)

Random Fields: Analysis and Synthesis

Chaos: A Statistical Perspective (Springer Series in Statistics)

Domain Structured Chaos and Applications (IOP ebooks): Unpredictability, chaos, randomness, fractals, differential equations and neural networks

Bifurcation and Chaos in Engineering

Quantum Theory, Decision Making and Social Dynamics (Uncertainty, Computational Techniques, and Decision Intelligence)

Complexity in Mathematical Biology for Sustainable Development: Modeling Climate, Disease, and Ecosystems through Difference, Differential, and Fractional Theory (Advanced Studies in Complex Systems)

Quantum versus Chaos: Questions Emerging from Mesoscopic Cosmos: 87 (Fundamental Theories of Physics, 87)

Chaos in Discrete Dynamical Systems: A Visual Introduction in 2 Dimensions

Dynamical Systems: Stability, Controllability and Chaotic Behavior

Regularity and Complexity in Dynamical Systems: 1 (Nonlinear Systems and Complexity, 1)

Nonlinear Difference Equations: Theory with Applications to Social Science Models: 15 (Mathematical Modelling: Theory and Applications, 15)

Predictability and Nonlinear Modelling in Natural Sciences and Economics

Synchronization Techniques for Chaotic Communication Systems (Signals and Communication Technology)

Chaos in Electronics: 2 (Mathematical Modelling: Theory and Applications, 2)

How Nature Works: Complexity in Interdisciplinary Research and Applications: 5 (Emergence, Complexity and Computation, 5)

Chaos Analysis and Chaotic EMI Suppression of DC-DC Converters (IEEE Press)

Discontinuity and Complexity in Nonlinear Physical Systems: 6 (Nonlinear Systems and Complexity, 6)

The Next Frontiers of Quantum Generative Intelligence for Smarter Eco-Cities: Transforming Environmental Sustainability Through Augmented Deep Generative and Foundation Models

Statistical Mechanics: Fundamentals and Modern Applications

Explaining Chaos

Neuro-Symbolic AI: Integrating Neural Networks and Symbolic Reasoning

Basic Concepts in Computational Physics