Products related to Behavior:
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Learning and Behavior
Learning and Behavior reviews how people and animals learn and how their behaviors are changed because of learning.It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations.Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field.Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition.Real-world examples and analogies make the concepts and theories more concrete and relevant to students.In addition, most chapters provide examples of how the principles covered have been employed in applied and clinical behavior analysis.The text proceeds from the simple to the complex. The initial chapters introduce the behavioral, cognitive, and neurophysiological approaches to learning.Later chapters give extensive coverage of classical conditioning and operant conditioning, beginning with basic concepts and findings and moving to theoretical questions and current issues.Other chapters examine the topics of reinforcement schedules, avoidance and punishment, stimulus control and concept learning, observational learning and motor skills, comparative cognition, and choice. Thoroughly updated, each chapter features many new studies and references that reflect recent developments in the field.Learning objectives, bold-faced key terms, practice quizzes, a chapter summary, review questions, and a glossary are included.The text is intended for undergraduate or graduate courses in psychology of learning, (human) learning, introduction to learning, learning processes, animal behavior, (principles of) learning and behavior, conditioning and learning, learning and motivation, experimental analysis of behavior, behaviorism, and behavior analysis.
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Learning and Behavior
Research on fundamental learning processes continues to tell an important and interesting story.In the Second Edition of his textbook, Mark Bouton recounts that story, providing an in-depth but highly readable review of modern learning and behavior theory that is informed by the history of the field.The text reflects the author's conviction that the study of animal learning has a central place in psychology, and that understanding its principles and theories is important for students, psychologists, and scientists in related disciplines (e.g., behavioral neuroscience and clinical psychology). Lively and current, Learning and Behavior: A Contemporary Synthesis, Second Edition engages students while illustrating the interconnectedness of topics within the field and the excitement of modern research. What's New in This EditionOver 50 new chapter-end Discussion Questions engage the student in reviewing and integrating the chapter material. In addition to new figures, all of the art has been digitally enhanced and updated to full colour. New and expanded coverage of topics such as metacognition in animals, behavioral economics, hybrid attention theory, consolidation and reconsolidation, the motivational control of instrumental behavior, and action and habit learning. More illustrative studies that focus on human participants. All material has been thoroughly updated, with 279 new references cited.
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Learning and Behavior : Active Learning Edition
Examine learning through an evolutionary lens as Chance/Furlong's LEARNING AND BEHAVIOR, 8E demonstrates how learning has evolved as a biological mechanism to aid in survival.This clear, engaging presentation embraces a scientific approach to studying behavior with updated content, numerous learning features and current examples to capture your interest and strengthen your understanding.Timely research demonstrates the relevance of what you are studying as you examine concepts such as "nature via nurture" and the co-dependency of ontogeny and phylogeny.New learning objectives direct your attention to important concepts for study and review while helpful Concept Checks ensure you understand concepts before progressing.In addition, all content corresponds with the latest 7th Edition of the APA Publication Manual.Trust this book's unique approach as you master concepts behind learning, behavior and change and apply this to everyday life.
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Introduction to Learning and Behavior
Gain a clear understanding of the basic principles of learning and behavior and how you can apply this information to better understand and improve today's world with Powell/Honey/Symbaluk's INTRODUCTION TO LEARNING AND BEHAVIOR, 6E.This engaging, student-friendly behavioral approach to psychology uses examples derived from both animals and humans to vividly illustrate the relevance of behavioral principles in comprehending and impacting human behavior.Updated, expanded coverage and a dedicated appendix address self-control and behavior self-management in detail with specific tactics you can immediately apply. "Study Tip" guide you in strategies, from effectively reading texts to using procedures to increase concentration and reduce procrastination.You also see how principles apply to managing relationships and raising children.Numerous innovative and updated review, self-testing, learning and independent study features further your understanding of key concepts.
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What is the limit behavior in mathematics?
In mathematics, limit behavior refers to the behavior of a function or sequence as the input approaches a certain value. It describes what happens to the function or sequence as the input gets closer and closer to a specific point. The limit behavior can help determine the overall trend or pattern of the function or sequence, and it is an important concept in calculus and analysis for understanding the behavior of functions near certain points. By studying the limit behavior, mathematicians can make predictions about the behavior of functions and sequences in various mathematical contexts.
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How is the learning behavior during prey capture?
During prey capture, learning behavior is characterized by trial and error, as the predator attempts different strategies to successfully capture its prey. Predators may learn from previous experiences and adjust their hunting techniques accordingly. They may also learn from observing the behavior of their prey and adapting their approach to increase their chances of success. This learning process can lead to the development of more effective hunting skills over time.
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Why don't the children use the online learning resources?
There could be several reasons why the children are not using online learning resources. Some possible reasons could include lack of access to technology or internet connectivity, difficulty navigating the online platforms, lack of motivation or engagement with the material, or preference for traditional in-person learning methods. It is important to understand the specific barriers that are preventing the children from using online resources in order to address them effectively and promote their learning.
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What is the limit behavior at infinity in mathematics?
In mathematics, the limit behavior at infinity refers to how a function behaves as the input values approach infinity. This behavior can be described in terms of whether the function grows without bound, approaches a specific value, oscillates between values, or exhibits other patterns. Understanding the limit behavior at infinity is important in analyzing the long-term trends and overall behavior of functions. It helps in determining the ultimate outcome or trend of a function as the input values become very large.
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The Principles of Learning and Behavior
From habituation, classical conditioning, and instrumental conditioning to stimulus control, aversive control, and their applications to the study of cognition, this learning and behavior textbook provides a comprehensive introduction to the elementary forms of learning that have been the focus of research for much of the 20th century.Applications boxes help you understand how findings from animal research relate to human learning and behavior, while neuroscience boxes offer you insights into the brain activity underlying learning.
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Learning Cognitive-Behavior Therapy : An Illustrated Guide
Building on its successful "read-see-do" approach, this second edition of Learning Cognitive-Behavioral Therapy: An Illustrated Guide seamlessly combines 23 all-new videos with informative text and figures, charts, worksheets, checklists, and tables to help readers not only learn the essential skills of CBT but achieve competence in this important evidence-based treatment method. Opening with an overview of core cognitive-behavior therapy (CBT) theories and techniques, leading CBT practitioners then describe and demonstrate how to build effective therapeutic relationships with CBT, conceptualize a case with the CBT model, structure sessions, and resolve common problems encountered in CBT. This updated, second edition of the best-selling and highly popular Learning Cognitive-Behavioral Therapy also features: • Ways to employ CBT to reduce suicide risk• Guidance on integrating therapies related to CBT—including dialectical behavior therapy, mindfulness-based cognitive therapy, and well-being therapy—in the context of personality disorders and chronic or recurrent depression• An appendix of curated resources by the expert authors—recommended readings, computer programs, Web sites, videos, and organizations—to give readers access to the best resources in building competence in CBT practice The all-new videos feature clinicians demonstrating methods in real-world settings and include new topics such as safety planning and uncovering and changing maladaptive schemas.Proven as one of the best teaching tools for building competence in CBT, this new edition will enrich readers' understanding and practice of CBT.
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Behavior Analysis and Learning : A Biobehavioral Approach
Using a behavioral perspective, Behavior Analysis and Learning provides an advanced introduction to the principles of behavior analysis and learned behaviors, covering a full range of principles from basic respondent and operant conditioning through applied behavior analysis into cultural design.The text uses Darwinian, neurophysiological, and biological theories and research to inform B.F. Skinner’s philosophy of radical behaviorism. The seventh edition expands the focus on neurophysiological mechanisms and their relation to the experimental analysis of behavior, providing updated studies and references to reflect current expansions and changes in the field of behavior analysis.By bringing together ideas from behavior analysis, neuroscience, epigenetics, and culture under a selectionist framework, the text facilitates understanding of behavior at environmental, genetic, neurophysiological, and sociocultural levels.This "grand synthesis" of behavior, neuroscience, and neurobiology roots behavior firmly in biology.The text includes special sections, "New Directions," "Focus On," "Note On," "On the Applied Side," and "Advanced Section," which enhance student learning and provide greater insight on specific topics.This edition was also updated for more inclusive language and representation of people and research across race, ethnicity, sexuality, gender identity, and neurodiversity.Behavior Analysis and Learning is a valuable resource for advanced undergraduate and graduate students in psychology or other behavior-based disciplines, especially behavioral neuroscience.The text is supported by a companion website that features a
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Behavior Analysis with Machine Learning Using R
Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems.It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation.All of this, using the R programming language and real-life behavioral data.Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain.No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.
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What is the difference between learning and visible behavior change?
Learning refers to the acquisition of knowledge or skills through study, experience, or being taught. It involves the internalization of new information or abilities. Visible behavior change, on the other hand, refers to the observable and measurable alterations in an individual's actions, reactions, or habits. While learning may lead to behavior change, not all learning results in visible behavior change, and not all behavior change necessarily reflects learning. Behavior change can be influenced by various factors, including motivation, environment, and reinforcement, whereas learning is more focused on the acquisition and processing of information.
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What is the global behavior of exponential functions in mathematics?
Exponential functions in mathematics exhibit rapid growth or decay as the independent variable increases or decreases. They have a constant base raised to a variable exponent, resulting in a curve that either increases or decreases exponentially. These functions never reach zero or infinity but approach these values asymptotically. Exponential functions are commonly used to model phenomena such as population growth, compound interest, and radioactive decay.
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What is the difference in learning behavior between the two sentences?
The first sentence is a simple declarative statement, while the second sentence is a question. In terms of learning behavior, the first sentence may prompt the listener to absorb the information as a fact, while the second sentence may prompt the listener to think critically and actively engage with the information by considering possible answers or seeking further information. The question format may also encourage the listener to be more attentive and participatory in the learning process.
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What is the learning behavior of rabbits in relation to biology?
Rabbits are known for their ability to learn through observation and experience. They have a strong sense of curiosity and are quick to learn from their environment. In terms of biology, rabbits have a natural instinct to learn about their surroundings in order to find food, avoid predators, and navigate their environment. They are also able to learn from other rabbits in their social groups, such as through grooming and communication, which helps them to adapt and survive in their natural habitats.
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