Proceedings ArticleDOI
Emergence and artificial life
Nil H. Kilicay,Cihan H. Dagli +1 more
- pp 580-584
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In this paper, the authors focus on emergent phenomena and the utilization of computer simulations, basically agent-based modeling to understand emergent phenomenon, and highlight how artificial life and management can be brought together to develop decision making aid tools.Abstract:
This paper focuses on emergent phenomena and the utilization of computer simulations, basically agent-based modeling to understand emergent phenomena Agent-based simulation models have a promising future in the social sciences, from management to economies, political science, sociology and anthropology This paper attempts to realize their full scientific potential by reviewing recent applications in engineering management and addresses the set of challenges confronted by this method Common methodology for constructing an agent-based model is also discussed with the aim of highlighting how artificial life and management can be brought together to develop decision making aid toolsread more
Citations
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Book
Social Emergence: Societies As Complex Systems
TL;DR: Sawyer as mentioned in this paper argues that societies are complex dynamical systems, and that the best way to resolve these debates is by developing the concept of emergence, focusing on multiple levels of analysis - individuals, interactions, and groups - with a dynamic focus on how social group phenomena emerge from communication processes among individual members.
Journal ArticleDOI
Computer Models of Creativity
TL;DR: The authors have the beginnings of a scientific understanding of creativity, an aspect of normal human intelligence not a special faculty granted to a tiny elite, and AI techniques underlie various types of computer art.
Journal ArticleDOI
Further towards a taxonomy of agent-based simulation models in environmental management
M. Hare,Peter Deadman +1 more
TL;DR: This paper is intended to provide an overview of agent-based simulation in environmental modelling so that modellers can link their requirements to the current state of the art in the techniques that are currently used to satisfy them.
Book ChapterDOI
Open problems in evolutionary music and art
TL;DR: It is argued that a stronger overall research plan is needed if the field is to develop in the longer term and attract more researchers.
Emergent Phenomena and Complexity
TL;DR: It is argued that in a certain fundamental sense, emergent systems are those in which even perfect knowledge and understanding may give us no predictive information, and in them the optimal means of prediction is simulation.
References
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Journal ArticleDOI
Agent-based modeling: Methods and techniques for simulating human systems
TL;DR: Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems, and its four areas of application are discussed by using real- world applications.
Book
Simulation for the Social Scientist
Nigel Gilbert,Klaus G. Troitzsch +1 more
TL;DR: Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science, and it will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.
Journal ArticleDOI
FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling
Michael W. Macy,Robert Willer +1 more
TL;DR: Agent-based models (ABMs) as mentioned in this paper have been widely used in computational sociology to model social life as interactions among adaptive agents who influence one another in response to the influence they receive, such as diffusion of information, emergence of norms, coordination of conventions or participation in collective action.
Journal ArticleDOI
A new decision sciences for complex systems
TL;DR: The article demonstrates the Computer-Assisted Reasoning approach on the policy problem of global climate change, with a particular focus on the role of technology policies in a robust, adaptive strategy for greenhouse gas abatement.
Journal ArticleDOI
Adaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling
TL;DR: A growing number of social scientists, dissatisfied with traditional methodologies, are seeking new methods for exploring the complexities of social dynamics, and one of the emerging developments is the use of agent-based modeling and simulation to examine how social phenomena are explored.