Jonathan H Morgan
Datos Biográficos
| ID | 4972243 |
|---|---|
| NOMBRE | Jonathan H Morgan |
| NOMBRES | Jonathan H |
| APELLIDO | Morgan |
| FIRMA | MORGAN J H |
| AFILIACIONES | University of Applied Sciences Potsdam |
| ORCID | 0000-0001-5181-9903 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAS | 49 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 3 |
Quantifying emotionally grounded discursive knowledge with cognitive-affective maps
Belief systems matter for all kinds of human social interaction. People have individual cognitions and feelings concerning processes in their environment, which is why they may evaluate them differently. Belief systems can be visualized with cognitive-affective maps (CAMs; as reported by Thagard (in: McGregor (ed) EMPATHICA: A computer support system with visual representations for cognitive-affective mapping, AAAI Press, CA, 2010)). However, it …
Friend or Foe
We introduce the identity labeling problem – given an individual in a social situation, can we predict what identity(ies) they will be labeled with by someone else? This problem remains a theoretical gap and methodological challenge, evidenced by the fact that models of social-cognition often sidestep the issue by treating identities as already known. We build on insights from existing models to develop a new framework, entitled Latent Cognitive …
Modeling Interaction in Collaborative Groups
This paper studies the dynamics of identity and status management within groups in collaborative settings. We present an agent-based simulation model for group interaction rooted in social psychological theory. The model integrates affect control theory with networked interaction structures and sequential behavior protocols as they are often encountered in task groups. By expressing status hierarchy through network structure, we build a bridge be…
Network sampling coverage III
A topology of groups
In this work, we study the collaboration patterns of open source software projects on GitHub by analyzing the pull request submissions and acceptances of repositories. We develop a group typology based on the structural properties of the corresponding directed graphs, and analyze how the topology is connected to the repositorys collective identity, hierarchy, productivity, popularity, resilience and stability. These analyses indicate significant …
Artificial Intelligence and Social Simulation
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
Distinguishing Normative Processes From Noise
This research evaluates the relative merits of two established and two newly proposed methods for modeling impressions of social events: stepwise regression, ANOVA, Bayesian model averaging, and Bayesian model sampling. Models generated with each method are compared against a ground truth model to assess performance at variable selection and coefficient estimation. We also assess the theoretical impacts of different modeling choices. Results show…
Network sampling coverage II
Solidarity, Yesterday and Today
Solidarity, Yesterday and Today
While solidarity has a rich theoretical and empirical background in Europe, as an ongoing political/cultural accomplishment, it has had an episodic history in the United States, but presently has gained new interest in the social sciences and social philosophy. In this chapter we first look at its origin in the creative phase of the French Third Republic, where it emerged as both a social philosophy in a political action program, and as a scienti…
Defining Factors of Interest for Large-scale Socio-cognitive Simulations
We examine how several environmental factors influence cognition and the emergence of social networks in artificial societies. Using a large-scale socio-cognitive simulation (VIPER), we generated social networks consisting of 20, 40, and 60 agents. We tested the impact that environmental factors such as population size, map configuration, and run time, particularly on the formation of social ties in memory. We analyzed 1,080 ego-nets across 27 co…
Network sampling coverage II
Network sampling coverage III
Distinguishing Normative Processes From Noise
This research evaluates the relative merits of two established and two newly proposed methods for modeling impressions of social events: stepwise regression, ANOVA, Bayesian model averaging, and Bayesian model sampling. Models generated with each method are compared against a ground truth model to assess performance at variable selection and coefficient estimation. We also assess the theoretical impacts of different modeling choices. Results show…
Artificial Intelligence and Social Simulation
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
Defining Factors of Interest for Large-scale Socio-cognitive Simulations
We examine how several environmental factors influence cognition and the emergence of social networks in artificial societies. Using a large-scale socio-cognitive simulation (VIPER), we generated social networks consisting of 20, 40, and 60 agents. We tested the impact that environmental factors such as population size, map configuration, and run time, particularly on the formation of social ties in memory. We analyzed 1,080 ego-nets across 27 co…
Solidarity, Yesterday and Today
Solidarity, Yesterday and Today
While solidarity has a rich theoretical and empirical background in Europe, as an ongoing political/cultural accomplishment, it has had an episodic history in the United States, but presently has gained new interest in the social sciences and social philosophy. In this chapter we first look at its origin in the creative phase of the French Third Republic, where it emerged as both a social philosophy in a political action program, and as a scienti…
Distinguishing Normative Processes From Noise
This research evaluates the relative merits of two established and two newly proposed methods for modeling impressions of social events: stepwise regression, ANOVA, Bayesian model averaging, and Bayesian model sampling. Models generated with each method are compared against a ground truth model to assess performance at variable selection and coefficient estimation. We also assess the theoretical impacts of different modeling choices. Results show…
Network sampling coverage II
Artificial Intelligence and Social Simulation
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
A topology of groups
In this work, we study the collaboration patterns of open source software projects on GitHub by analyzing the pull request submissions and acceptances of repositories. We develop a group typology based on the structural properties of the corresponding directed graphs, and analyze how the topology is connected to the repositorys collective identity, hierarchy, productivity, popularity, resilience and stability. These analyses indicate significant …
Modeling Interaction in Collaborative Groups
This paper studies the dynamics of identity and status management within groups in collaborative settings. We present an agent-based simulation model for group interaction rooted in social psychological theory. The model integrates affect control theory with networked interaction structures and sequential behavior protocols as they are often encountered in task groups. By expressing status hierarchy through network structure, we build a bridge be…
Network sampling coverage III
Quantifying emotionally grounded discursive knowledge with cognitive-affective maps
Belief systems matter for all kinds of human social interaction. People have individual cognitions and feelings concerning processes in their environment, which is why they may evaluate them differently. Belief systems can be visualized with cognitive-affective maps (CAMs; as reported by Thagard (in: McGregor (ed) EMPATHICA: A computer support system with visual representations for cognitive-affective mapping, AAAI Press, CA, 2010)). However, it …
Friend or Foe
We introduce the identity labeling problem – given an individual in a social situation, can we predict what identity(ies) they will be labeled with by someone else? This problem remains a theoretical gap and methodological challenge, evidenced by the fact that models of social-cognition often sidestep the issue by treating identities as already known. We build on insights from existing models to develop a new framework, entitled Latent Cognitive …
Computer Science (8 obras) · Psychology (7 obras) · Opinion Dynamics and Social Influence (6 obras) · Artificial Intelligence (5 obras) · Social Psychology (5 obras) · Cognition (3 obras) · Cognitive psychology (3 obras) · Complex Network Analysis Techniques (3 obras) · Machine learning (3 obras) · Mathematics (3 obras)