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Author: Luis Felipe Giraldo Trujillo
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this work we provide mathematical and computational tools that allow us to model the “physics” of human group behavior: how the relationship between the individuals’ characteristics, interaction dynamics, and environmental factors translates into changes in the behavior of the group. We characterize the group dynamics for four specific situations, and show the importance of these models to improve the performance of task-solving groups in organizational management, to design strategies that prevent high-risk behaviors, and to motivate collective action and cooperation in situations that lead to social dilemmas.
Author: Luis Felipe Giraldo Trujillo
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this work we provide mathematical and computational tools that allow us to model the “physics” of human group behavior: how the relationship between the individuals’ characteristics, interaction dynamics, and environmental factors translates into changes in the behavior of the group. We characterize the group dynamics for four specific situations, and show the importance of these models to improve the performance of task-solving groups in organizational management, to design strategies that prevent high-risk behaviors, and to motivate collective action and cooperation in situations that lead to social dilemmas.
Author: Eduardo Salas
Publisher: Emerald Group Publishing
ISBN: 1787148955
Category : Business & Economics
Languages : en
Pages : 244
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Book Description
This volume focuses on the temporal adaptations of teams. An increase in the use of teams has led to more team research throughout the fields of cognitive science, human factors, organizational psychology, and behavioral science. This book serves as a resource to researchers who study teams, managers who lead teams, and those who work in teams.
Author: Fahad Shah
Publisher:
ISBN:
Category : Human behavior
Languages : en
Pages : 183
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Book Description
Virtual worlds and massively-multiplayer online games are rich sources of information about large-scale teams and groups, offering the tantalizing possibility of harvesting data about group formation, social networks, and network evolution. They provide new outlets for human social interaction that differ from both face-to-face interactions and non-physically-embodied social networking tools such as Facebook and Twitter. We aim to study group dynamics in these virtual worlds by collecting and analyzing public conversational patterns of users grouped in close physical proximity. To do this, we created a set of tools for monitoring, partitioning, and analyzing unstructured conversations between changing groups of participants in Second Life, a massively multi-player online user-constructed environment that allows users to construct and inhabit their own 3D world. Although there are some cues in the dialog, determining social interactions from unstructured chat data alone is a difficult problem, since these environments lack many of the cues that facilitate natural language processing in other conversational settings and different types of social media. Public chat data often features players who speak simultaneously, use jargon and emoticons, and only erratically adhere to conversational norms. Humans are adept social animals capable of identifying friendship groups from a combination of linguistic cues and social network patterns. But what is more important, the content of what people say or their history of social interactions? Moreover, is it possible to identify whether people are part of a group with changing membership merely from general network properties, such as measures of centrality and latent communities? These are the questions that we aim to answer in this thesis. The contributions of this thesis include: 1) a link prediction algorithm for identifying friendship relationships from unstructured chat data 2) a method for identifying social groups based on the results of community detection and topic analysis. The output of these two algorithms (links and group membership) are useful for studying a variety of research questions about human behavior in virtual worlds. To demonstrate this we have performed a longitudinal analysis of human groups in different regions of the Second Life virtual world. We believe that studies performed with our tools in virtual worlds will be a useful stepping stone toward creating a rich computational model of human group dynamics.
Author: Sy-Miin Chow
Publisher: Routledge
ISBN: 1135262586
Category : Psychology
Languages : en
Pages : 442
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Book Description
This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are reviewed along with techniques for modeling in real time and for examining lifespan cognitive changes, for conceptualizing change using item response, nonparametric and hierarchical models, and control theory-inspired techniques for deriving diagnoses in medical and psychotherapeutic settings. The syntax for running the analyses presented in the book is provided on the Psychology Press site. Most of the programs are written in R while others are for Matlab, SAS, Win-BUGS, and DyFA. Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of: Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data Dynamic modeling techniques for intensive repeated measurement data Panel modeling techniques for fewer time points data State-space modeling techniques for psychological data Techniques used to analyze reaction time data. Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.
Author: Joseph Luft
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
ISBN:
Category : Social Science
Languages : en
Pages : 264
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Book Description
Discusses laboratory methods of studying interpersonal dynamics, and applies the findings of research on group processes to large organizational environments, clinical psychology, and education.
Author: Jonathon Gillette
Publisher: Upa
ISBN:
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
Integrating new knowledge about group dynamics, this text provides conceptual and experiential frameworks for instructors, trainers and consultants who work with groups, as well as for group members themselves.
Author: Timothy M. Franz
Publisher: John Wiley & Sons
ISBN: 1118232674
Category : Psychology
Languages : en
Pages : 376
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Book Description
Organizations thrive or struggle as a result of interactions among team members. To optimize the performance of teams, Group Dynamics and Team Interventions bridges the gap between the most up-to-date academic research findings about group behavior and real-life practice. Chapters summarize the theories behind group and team behavior while offering proven application and intervention techniques that can be utilized in workplace settings. Topics addressed include team formation and development; understanding culture and team diversity; improving team cohesion, decision making, and problem solving; managing and reducing team conflict; team leadership, power, and influence; and others. Brief case studies and interventions that illustrate each theory help to enhance the clarity of the topics. Group Dynamics and Team Interventions will benefit academics and practitioners alike, who gain from a better understanding of the dynamics that inform team behavior, along with assessment tools and practical intervention techniques to create and maintain a high-performing team.
Author: Peter S. Hovmand
Publisher: Springer Science & Business Media
ISBN: 1461487633
Category : Psychology
Languages : en
Pages : 117
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Book Description
Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1076
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Book Description
Author: G. De Giacomo
Publisher: IOS Press
ISBN: 164368101X
Category : Computers
Languages : en
Pages : 3122
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Book Description
This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
