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Genetic programming (GP) is a popular heuristic methodology of program synthesis with origins in evolutionary computation. In this generate-and-test approach, candidate programs are iteratively produced and evaluated. The latter involves running programs on tests, where they exhibit complex behaviors reflected in changes of variables, registers, or memory. That behavior not only ultimately determines program output, but may also reveal its `hidden qualities' and important characteristics of the considered synthesis problem. However, the conventional GP is oblivious to most of that information and usually cares only about the number of tests passed by a program. This `evaluation bottleneck' leaves search algorithm underinformed about the actual and potential qualities of candidate programs. This book proposes behavioral program synthesis, a conceptual framework that opens GP to detailed information on program behavior in order to make program synthesis more efficient. Several existing and novel mechanisms subscribing to that perspective to varying extent are presented and discussed, including implicit fitness sharing, semantic GP, co-solvability, trace convergence analysis, pattern-guided program synthesis, and behavioral archives of subprograms. The framework involves several concepts that are new to GP, including execution record, combined trace, and search driver, a generalization of objective function. Empirical evidence gathered in several presented experiments clearly demonstrates the usefulness of behavioral approach. The book contains also an extensive discussion of implications of the behavioral perspective for program synthesis and beyond.
Behavioral Types in Programming Languages provides the reader with the first comprehensive overview of the state of the art on this topic. Each section covers a particular programming paradigm or methodology, providing an ideal reference on the topic and identifying the areas as yet unexplored.
Human behavior is fascinating so it’s no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed.
A 2022 PROSE Award finalist in Legal Studies and Criminology A 2022 American Bar Association Silver Gavel Award Finalist A Behavioral Scientist’s Notable Book of 2021 Freakonomics for the law—how applying behavioral science to the law can fundamentally change and explain misbehavior Why do most Americans wear seatbelts but continue to speed even though speeding fines are higher? Why could park rangers reduce theft by removing “no stealing” signs? Why was a man who stole 3 golf clubs sentenced to 25 years in prison? Some laws radically change behavior whereas others are consistently ignored and routinely broken. And yet we keep relying on harsh punishment against crime despite its continued failure. Professors Benjamin van Rooij and Adam Fine draw on decades of research to uncover the behavioral code: the root causes and hidden forces that drive human behavior and our responses to society’s laws. In doing so, they present the first accessible analysis of behavioral jurisprudence, which will fundamentally alter how we understand the connection between law and human behavior. The Behavioral Code offers a necessary and different approach to battling crime and injustice that is based in understanding the science of human misconduct—rather than relying on our instinctual drive to punish as a way to shape behavior. The book reveals the behavioral code’s hidden role through illustrative examples like: • The illusion of the US’s beloved tax refund • German walls that “pee back” at public urinators • The $1,000 monthly “good behavior” reward that reduced gun violence • Uber’s backdoor “Greyball” app that helped the company evade Seattle’s taxi regulators • A $2.3 billion legal settlement against Pfizer that revealed how whistleblower protections fail to reduce corporate malfeasance • A toxic organizational culture playing a core role in Volkswagen’s emissions cheating scandal • How Peter Thiel helped Hulk Hogan sue Gawker into oblivion Revelatory and counterintuitive, The Behavioral Code catalyzes the conversation about how the law can effectively improve human conduct and respond to some of our most pressing issues today, from police misconduct to corporate malfeasance.
Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: •Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. •More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. •A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. •A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. •Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.
Presenting a fresh approach to child and adolescent therapy, this book identifies five principles at the heart of the most potent evidence-based treatments--and shows how to apply them. Clinicians learn efficient, engaging ways to teach the skills of Feeling Calm, Increasing Motivation, Repairing Thoughts, Solving Problems, and Trying the Opposite (FIRST) to 5- to 15-year-olds and their parents. FIRST principles can be used flexibly and strategically in treatment of problems including anxiety, posttraumatic stress, depression, and misconduct. In a convenient large-size format, the book features 37 reproducible parent handouts, decision trees, and other clinical tools. Purchasers get access to a companion website where they can download and print these materials, plus Spanish-language versions of selected parent handouts.
The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.
This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.
Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2020.
Recent years have seen increasing interest in the mental health field, particularly related to strategies that foster the positive behavior and healthy mental state of children. As the Handbook of Childhood Behavioral Issues indicates, however, the causes of childhood behavioral, physical, and mental health problems are multi-dimensional and cannot be treated with a uniform approach. Rather than focus solely on theory, this book offers evidence of effective interventions as well as extensive bio-psychosocial methods of preventative practices. The research confirms the impact that environment has on children and offers new approaches to address physical, mental health, and behavioral issues in children. This volume is broken down into chapters that concentrate on a specific behavior or disorder, which not only makes the information comprehensible, but also allows for in-depth coverage of a particular issue. In addition to considering the genetic and psychological factors that trigger childhood mental health problems, the handbook also investigates the significant impact that family members and the surrounding community have on a child’s life. It is a book uniquely designed to include both the current perspectives on childhood development and the most effective treatment and prevention options. The result is a book that provides a deeper understanding of the variety of factors that contribute to a child’s behavior along with important information on the progress of evidence-based practices.