Evolution since Coding

Evolution since Coding PDF Author: Zachary F. Burton
Publisher: Academic Press
ISBN: 0128130342
Category : Science
Languages : en
Pages : 208

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Book Description
Evolution since Coding: Cradles, Halos, Barrels, and Wings describes genesis of metabolism, transcription, translation, cell structure, eukaryotic complexity, LUCA (the last universal common (cellular) ancestor), the great divergence of archaea and bacteria, LECA (the last eukaryotic common ancestor), extinction, and cancer in very simple ways. The work (almost) "synthesizes life from scratch" (since coding) and describes the tools for readers to check the author's work. As a result, readers understand living systems and their evolution in a conceptual way and are empowered to utilize powerful but accessible tools in computer-based biology. The work serves as foundational reading for a variety of researchers, academics, and students in life sciences, for example in evolution/evolutionary biology, biochemistry, genetics/molecular genetics, molecular biology, cell biology, and microbiology, as well as disciplines beyond biological science. Its approachable style makes the book accessible for introductory students and educated laypersons. Evolution since Coding is suitable to supplement college courses that mix computers, evolution, and biology from freshman to senior level. - Provides a simple, hands-on, conceptual route to understanding ancient evolution and the diversification of life on earth - Offers a conceptual understanding of biology, evolution, protein structure, RNA synthesis systems, protein synthesis systems, signaling systems, genesis of the three domains, and cell structures - Approaches ancient evolution via code-breaking protein and RNA sequences and motifs

The Nature of Code

The Nature of Code PDF Author: Daniel Shiffman
Publisher: No Starch Press
ISBN: 1718503717
Category : Computers
Languages : en
Pages : 642

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Book Description
All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This JavaScript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. Embark on this extraordinary adventure with projects involving: A physics engine: Simulate the push and pull of gravitational attraction. Flocking birds: Choreograph the mesmerizing dance of a flock. Branching trees: Grow lifelike and organic tree structures. Neural networks: Craft intelligent systems that learn and adapt. Cellular automata: Uncover the magic of self-organizing patterns. Evolutionary algorithms: Play witness to natural selection in your code. Shiffman’s work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity. Whether you’re deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman’s guidance is sure to inform and inspire. The Nature of Code is not just about coding; it’s about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art—all while mastering coding fundamentals along the way. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.

Evolution of the Genetic Code

Evolution of the Genetic Code PDF Author: Shōzō Ōsawa
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 240

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Book Description
The genetic code was deciphered experimentally around 1966 and for a number of years scientists considered it to be "universal" for all forms of life. In 1981 researchers shocked the scientific community with the discovery that the code differed in mitochondria and certain other organisms, evidence that the genetic code was still evolving. This book discusses the distribution and origin of the non-universal codes and examines the possible mechanisms of code changes, making it essential reading for all those interested in evolutionary genetics.

Speech Coding Algorithms

Speech Coding Algorithms PDF Author: Wai C. Chu
Publisher: John Wiley & Sons
ISBN: 0471668877
Category : Computers
Languages : en
Pages : 584

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Book Description
Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol This book collects many of the techniques used in speech coding and presents them in an accessible fashion Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present The theory behind the applications is thoroughly analyzed and proved

Mind and Its Evolution

Mind and Its Evolution PDF Author: Allan Paivio
Publisher: Psychology Press
ISBN: 1317716906
Category : Psychology
Languages : en
Pages : 538

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Book Description
This book updates the Dual Coding Theory of mind (DCT), a theory of modern human cognition consisting of separate but interconnected nonverbal and verbal systems. Allan Paivio, a leading scholar in cognitive psychology, presents this masterwork as new findings in psychological research on memory, thought, language, and other core areas have flourished, as have pioneering developments in the cognitive neurosciences. Mind and Its Evolution provides a thorough exploration into how these adaptive nonverbal and verbal systems might have evolved, as well as a careful comparison of DCT with contrasting "single-code" cognitive theories. Divided into four parts, this text begins with a general, systematic theory of modern human cognition as the reference model for interpreting the cognitive abilities of evolutionary ancestors. The first half of the book discusses mind as it is; the second half addresses how it came to be that way. Each half is subdivided into two parts defined by thematic chapters. Mind and Its Evolution concludes with evidence-based suggestions about nourishing mental growth through applications of DCT in education, psychotherapy, and health. This volume will appeal to cognitive and evolutionary psychologists, as well as students in the areas of memory, language, cognition, and mind evolution specialists in psychology, philosophy, and other disciplines.

Evolution as Computation

Evolution as Computation PDF Author: Laura F. Landweber
Publisher: Springer Science & Business Media
ISBN: 364255606X
Category : Computers
Languages : en
Pages : 348

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Book Description
The study of the genetic basis for evolution has flourished in this century, as well as our understanding of the evolvability and programmability of biological systems. Genetic algorithms meanwhile grew out of the realization that a computer program could use the biologically-inspired processes of mutation, recombination, and selection to solve hard optimization problems. Genetic and evolutionary programming provide further approaches to a wide variety of computational problems. A synthesis of these experiences reveals fundamental insights into both the computational nature of biological evolution and processes of importance to computer science. Topics include biological models of nucleic acid information processing and genome evolution; molecules, cells, and metabolic circuits that compute logical relationships; the origin and evolution of the genetic code; and the interface with genetic algorithms and genetic and evolutionary programming.

The Origin and Evolution of the Genetic Code: 100th Anniversary Year of the Birth of Francis Crick

The Origin and Evolution of the Genetic Code: 100th Anniversary Year of the Birth of Francis Crick PDF Author: Koji Tamura
Publisher: MDPI
ISBN: 3038427691
Category : Science
Languages : en
Pages : 203

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Book Description
This book is a printed edition of the Special Issue "The Origin and Evolution of the Genetic Code: 100th Anniversary Year of the Birth of Francis Crick" that was published in Life

The Code Book: The Secrets Behind Codebreaking

The Code Book: The Secrets Behind Codebreaking PDF Author: Simon Singh
Publisher: Delacorte Press
ISBN: 0375890122
Category : Young Adult Nonfiction
Languages : en
Pages : 274

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Book Description
"As gripping as a good thriller." --The Washington Post Unpack the science of secrecy and discover the methods behind cryptography--the encoding and decoding of information--in this clear and easy-to-understand young adult adaptation of the national bestseller that's perfect for this age of WikiLeaks, the Sony hack, and other events that reveal the extent to which our technology is never quite as secure as we want to believe. Coders and codebreakers alike will be fascinated by history's most mesmerizing stories of intrigue and cunning--from Julius Caesar and his Caeser cipher to the Allies' use of the Enigma machine to decode German messages during World War II. Accessible, compelling, and timely, The Code Book is sure to make readers see the past--and the future--in a whole new way. "Singh's power of explaining complex ideas is as dazzling as ever." --The Guardian

The Evolutionary Code

The Evolutionary Code PDF Author: Conrad Riker
Publisher: Conrad Riker
ISBN:
Category : Science
Languages : en
Pages : 175

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Book Description
Are you a man tired of being told that your natural instincts are wrong? Do you feel disconnected from your primal drives in a world that denies biology and evolution? "The Evolutionary Code: How Men Evolved to Rule" is your guide to understanding the REAL reasons behind the evolution of humanity. In this book, you will find answers to the following questions: - Why did humans become bipedal, and how did it give us an evolutionary advantage? - How did our ancestors' diet shape our physical and cognitive characteristics? - Why did women evolve to have swollen breasts, and what does it mean for us men? - Is there a correlation between brain size and intelligence in human evolution? - Why do humans have less body hair compared to other primates? - How did our ability to digest starch change the course of human evolution? - What is the evolutionary advantage of shorter gestation periods in humans? - Is there any truth to the aquatic ape hypothesis? - How did the evolution of lighter skin tones affect our species? - Why is afro hair more common in certain populations, and what advantages does it offer? - How did evolution shape our sexual behavior and preferences? - How did our evolution shape our social behaviors and structures? "The Evolutionary Code: How Men Evolved to Rule" goes against the grain of left-wing progressive ideologies, debunking myths about gender, race, and evolution. It's time to embrace the truth about how we evolved and why we have the traits we do. If you want to reconnect with your biological roots and understand the TRUE drivers of human evolution, then this book is for you. Buy "The Evolutionary Code: How Men Evolved to Rule" today and discover the real story of our evolution.

Grammatical Evolution

Grammatical Evolution PDF Author: Michael O'Neill
Publisher: Springer Science & Business Media
ISBN: 1461504473
Category : Computers
Languages : en
Pages : 157

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Book Description
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.