Method, Theory, and Multi-Agent Artificial Intelligence
Creating computer models of complex social interaction
Bibliographic Data
| ID | 7534653 |
|---|---|
| Authors | Justin E Lane (0000-0002-8875-8232, Masaryk University, corresponding author) |
| Year | 2014 |
| Volume | 1 |
| Issue | 2 |
| Pages | 161-180 |
| Publication date | 2014-03-20 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal for the Cognitive Science of Religion (JOURNAL) |
| Journal identifiers | ISSN: 2049-7555 • E-ISSN: 2049-7563 |
| Publisher | Equinox Publishing (PUBLISHER • GB) |
| DOI | 10.1558/jcsr.v1i2.161 |
| OpenAlex | W2317471780 |
| Language | EN |
| Citations received | 19 |
The construction of computer models is becoming an increasingly useful and popular way of testing theories in the cognitive sciences. This paper will present a brief overview of the methods available for constructing and testing computer models of social phenomena such as religious beliefs and behaviors. It will focus on the importance of theoretical continuity and data replication in computer modelling while negotiating the relationship between specificity and ecological validity when models are extended into novel contexts. This paper will argue that computer modeling is an important supplement to the methodological toolbox of cognitive scientists interested in human social phenomena. However, this is only the case if developers pay close attention to research methods and theories and if the method of a model’s development is appropriate for the target phenomenon (Sun, 2006). It concludes that multi-agent AI models are the most appropriate computational tool for the study of complex social phenomena
Cognition · Cognitive science · Computational model · Data science · Focus (optics · Human–computer interaction · Management science · Negotiation · Replication (statistics · Social science · Sociology · Toolbox · Computer Science · Engineering · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Psychology · Artificial Intelligence
The Strength of Social Norms Across Human Groups
Computational Science of Religion
Cognitive Science of Religion
A.I. in Religion, A.I. for Religion, A.I. and Religion
Understanding Epistemological Debates in the Humanities and Social Sciences Can Aid in Model Development
Complexity theory and the historical study of religion
Computation of identity and social volatility in the ritual animal
Bridging qualitative and quantitative approaches to religion
Strengthening the supernatural punishment hypothesis through computer modeling
Modelling terror management theory
Can we predict religious extremism
So, what's the coolest thing you learned from the models
Five things to know about modeling and simulation
Human Simulation as the Lingua Franca for Computational Social Sciences and Humanities
Cognition, Culture, and Social Simulation
He Who Pays the Piper Calls the Tune
Paying the Piper
Progress in simulating human geography
Simulating theory and society
| Unique citing works | 19 |
|---|---|
| Citations per year | 2,11 |
| Citation span | 2017 - 2025 (9) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 19 |