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479,055 result(s) for "Human behavior"
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Predicting and Changing Behavior
This book describes the reasoned action approach, an integrative framework for the prediction and change of human social behavior. It provides an up-to-date review of relevant research, discusses critical issues related to the reasoned action framework, and provides methodological and conceptual tools for the prediction and explanation of social behavior and for designing behavior change interventions.
Chimpanzees and human evolution
Although chimpanzees and other primates are frequently used as models to reconstruct the behavior of extinct human ancestors, this is rarely done in a consistent or methodologically rigorous fashion. This volume brings together leading scholars to explore how knowledge about chimpanzees can be used to understand both what is unique about our own species, and how these traits evolved. The first part of the book makes the case that the last common ancestor of chimpanzees and humans was chimpanzee-like. This inference is based not on an assumption that chimpanzees are a model species, but on morphological, developmental, and genetic data, together with evidence from the hominin fossil record. The second part of the book provides the first detailed record of the similarities and differences between humans and chimpanzees, including those in social system, mating system, diet, social behavior, hunting, tool use, culture, cognition, and communication.-- Provided by publisher
Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions
Advances in animal motion tracking and pose recognition have been a game changer in the study of animal behavior. Recently, an increasing number of works go ‘deeper’ than tracking, and address automated recognition of animals’ internal states such as emotions and pain with the aim of improving animal welfare, making this a timely moment for a systematization of the field. This paper provides a comprehensive survey of computer vision-based research on recognition of pain and emotional states in animals, addressing both facial and bodily behavior analysis. We summarize the efforts that have been presented so far within this topic—classifying them across different dimensions, highlight challenges and research gaps, and provide best practice recommendations for advancing the field, and some future directions for research.
Hormones and Behaviour
Recent advances in non-invasive sampling techniques have led to an increase in the study of hormones and behaviour. Behaviour is complex but can be explained to a large degree by interactions between various psychological and physiological components, such as the interplay between hormonal and psychological systems. This new textbook from Nick Neave offers a detailed introduction to the fascinating science of behavioural endocrinology from a psychological perspective, examining the relationships between hormones and behaviour in both humans and animals. Neave explains the endocrine system and the ways in which hormones can influence brain structure and function, and presents a series of examples to demonstrate how hormones can influence specific behaviours, including sexual determination and differentiation, neurological differentiation, parental behaviours, aggressive behaviours and cognition. This introductory textbook will appeal to second and third year social science undergraduate students in psychology and biomedicine.
How behavior spreads : the science of complex contagions
\"A new, counterintuitive theory for how social networks influence the spread of behavior. New social movements, technologies, and public-health initiatives often struggle to take off, yet many diseases disperse rapidly without issue. Can the lessons learned from the viral diffusion of diseases be used to improve the spread of beneficial behaviors and innovations? In How Behavior Spreads, Damon Centola presents over a decade of original research examining how changes in societal behavior--in voting, health, technology, and finance--occur and the ways social networks can be used to influence how they propagate. Centola's startling findings show that the same conditions accelerating the viral expansion of an epidemic unexpectedly inhibit the spread of behaviors. While it is commonly believed that \"weak ties\"--long-distance connections linking acquaintances--lead to the quicker spread of behaviors, in fact the exact opposite holds true. Centola demonstrates how the most well-known, intuitive ideas about social networks have caused past diffusion efforts to fail, and how such efforts might succeed in the future. Pioneering the use of Web-based methods to understand how changes in people's social networks alter their behaviors, Centola illustrates the ways in which these insights can be applied to solve countless problems of organizational change, cultural evolution, and social innovation. His findings offer important lessons for public health workers, entrepreneurs, and activists looking to harness networks for social change.Practical and informative, How Behavior Spreads is a must-read for anyone interested in how the theory of social networks can transform our world\"--Provided by publisher.
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state
Traditionally, autonomous cars treat human-driven vehicles like moving obstacles. They predict their future trajectories and plan to stay out of their way. While physically safe, this results in defensive and opaque behaviors. In reality, an autonomous car’s actions will actually affect what other cars will do in response, creating an opportunity for coordination. Our thesis is that we can leverage these responses to plan more efficient and communicative behaviors. We introduce a formulation of interaction with human-driven vehicles as an underactuated dynamical system, in which the robot’s actions have consequences on the state of the autonomous car, but also on the human actions and thus the state of the human-driven car. We model these consequences by approximating the human’s actions as (noisily) optimal with respect to some utility function. The robot uses the human actions as observations of her underlying utility function parameters. We first explore learning these parameters offline, and show that a robot planning in the resulting underactuated system is more efficient than when treating the person as a moving obstacle. We also show that the robot can target specific desired effects, like getting the person to switch lanes or to proceed first through an intersection. We then explore estimating these parameters online, and enable the robot to perform active information gathering: generating actions that purposefully probe the human in order to clarify their underlying utility parameters, like driving style or attention level. We show that this significantly outperforms passive estimation and improves efficiency. Planning in our model results in coordination behaviors: the robot inches forward at an intersection to see if can go through, or it reverses to make the other car proceed first. These behaviors result from the optimization, without relying on hand-coded signaling strategies. Our user studies support the utility of our model when interacting with real users.
Gaining control : how human behavior evolved
'Gaining control' tells the story of how human behavioral capacities evolved from those of other animal species. Exploring what is known about the psychological capacities of other groups of animals, the authors reconstruct a fascinating history of our own mental evolution. In the book, the authors see mental evolution as a series of steps in which new mechanisms for controlling behavior develop in different species - starting with early representatives of this kingdom, and leading to a species - us - that can engage in a large number of different types of behavioral control. Key to their argument is the idea that each of these steps -- from reflexes to instincts, drives, emotions, and cognitive planning - can be seen as a novel type of psychological adaptation in which information is 'inherited' by an animal from its own behavior through new forms of learning - a form of major evolutionary transition. Thus the mechanisms that result from these steps in increasingly complex behavioral control can also be seen as the fundamental building blocks of psychology. Such a perspective on behaviour has a number of implications for practitioners in fields ranging from experimental psychology to public health. Short, provocative, and insightful, this book will be of great interest and use to evolutionary psychologists and biologists, anthropologists and the scientific community as a whole.
Behavioral Modeling and Simulation
Today's military missions have shifted away from fighting nation states using conventional weapons toward combating insurgents and terrorist networks in a battlespace in which the attitudes and behaviors of civilian noncombatants may be the primary effects of military actions. To support these new missions, the military services are increasingly interested in using models of the behavior of humans, as individuals and in groups of various kinds and sizes. Behavioral Modeling and Simulation reviews relevant individual, organizational, and societal (IOS) modeling research programs, evaluates the strengths and weaknesses of the programs and their methodologies, determines which have the greatest potential for military use, and provides guidance for the design of a research program to effectively foster the development of IOS models useful to the military. This book will be of interest to model developers, operational military users of the models and their managers, and government personnel making funding decisions regarding model development.