Modeling Cognitive Agents for Social Systems and a Simulation in Urban Dynamics

2009 ◽  
pp. 104-124 ◽  
Author(s):  
Yu Zhang ◽  
Mark Lewis ◽  
Christine Drennon ◽  
Michael Pellon ◽  
Coleman
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Social Systems ◽  
Three Dimensional ◽  
Decision Making Process ◽  
Social Environments ◽  
Cognitive Agents ◽  
Agent Interactions ◽  
Multi Agent ◽  
Cognitive Decision

Multi-agent systems have been used to model complex social systems in many domains. The entire movement of multi-agent paradigm was spawned, at least in part, by the perceived importance of fostering human-like adjustable autonomy and behaviors in social systems. But, efficient scalable and robust social systems are difficult to engineer. One difficulty exists in the design of how society and agents evolve and the other diffi- culties exist in how to capture the highly cognitive decision-making process that sometimes follows intuition and bounded rationality. We present a multi-agent architecture called CASE (Cognitive Agents for Social Environments). CASE provides a way to embed agent interactions in a three-dimensional social structure. It also presents a computational model for an individual agent’s intuitive and deliberative decision-making process. This chapter also presents our work on creating a multi-agent simulation which can help social and economic scientists use CASE agents to perform their tests. Finally, we test the system in an urban dynamic problem. Our experiment results suggest that intuitive decision-making allows the quick convergence of social strategies, and embedding agent interactions in a three-dimensional social structure speeds up this convergence as well as maintains the system’s stability.

Modeling Cognitive Agents for Social Systems and a Simulation in Urban Dynamics

2010 ◽  
pp. 2113-2133
Author(s):  
Yu Zhang ◽  
Mark Lewis ◽  
Christine Drennon ◽  
Michael Pellon ◽  
Phil Coleman ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Social Systems ◽  
Three Dimensional ◽  
Decision Making Process ◽  
Social Environments ◽  
Cognitive Agents ◽  
Agent Interactions ◽  
Multi Agent ◽  
Cognitive Decision

Multi-agent systems have been used to model complex social systems in many domains. The entire movement of multi-agent paradigm was spawned, at least in part, by the perceived importance of fostering human-like adjustable autonomy and behaviors in social systems. But, efficient scalable and robust social systems are difficult to engineer. One difficulty exists in the design of how society and agents evolve and the other difficulties exist in how to capture the highly cognitive decision-making process that sometimes follows intuition and bounded rationality. We present a multi-agent architecture called CASE (Cognitive Agents for Social Environments). CASE provides a way to embed agent interactions in a three-dimensional social structure. It also presents a computational model for an individual agent’s intuitive and deliberative decision-making process. This chapter also presents our work on creating a multi-agent simulation which can help social and economic scientists use CASE agents to perform their tests. Finally, we test the system in an urban dynamic problem. Our experiment results suggest that intuitive decision-making allows the quick convergence of social strategies, and embedding agent interactions in a three-dimensional social structure speeds up this convergence as well as maintains the system’s stability.

Aspect-Oriented Recommender Systems

2013 ◽  
pp. 55-72
Author(s):  
Punam Bedi ◽  
Sumit Kr Agarwal
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Recommender System ◽  
User Preference ◽  
Preference Learning ◽  
Decision Making Process ◽  
Design Issues ◽  
Aspect Oriented Programming ◽  
Multi Agent ◽  
Oriented Approach

Recommender systems are widely used intelligent applications which assist users in a decision-making process to choose one item amongst a potentially overwhelming set of alternative products or services. Recommender systems use the opinions of members of a community to help individuals in that community by identifying information most likely to be interesting to them or relevant to their needs. Recommender systems have various core design crosscutting issues such as: user preference learning, security, mobility, visualization, interaction etc that are required to be handled properly in order to implement an efficient, good quality and maintainable recommender system. Implementation of these crosscutting design issues of the recommender systems using conventional agent-oriented approach creates the problem of code scattering and code tangling. An Aspect-Oriented Recommender System is a multi agent system that handles core design issues of the recommender system in a better modular way by using the concepts of aspect oriented programming, which in turn improves the system reusability, maintainability, and removes the scattering and tangling problems from the recommender system.

Study on Emergency Decision-Making of Natural Disaster Based on Collaboration of Multi-Agent

2013 ◽  
Vol 411-414 ◽  
pp. 2684-2693
Author(s):  
Yue E ◽  
Ye Ping Zhu
Keyword(s):  
Decision Making ◽  
Natural Disaster ◽  
Decision Making Process ◽  
Collaborative Decision Making ◽  
Agent Theory ◽  
Emergency Decision Making ◽  
Multi Agent ◽  
Emergency Decision ◽  
Decision Making Model ◽  
Collaborative Decision

Based on the occurrence and evolution of the natural disaster is characteristic of uncertainty and complexity, in this article, Agent theory and technology is applied to emergency decision-making of natural disaster in China, built the disaster emergency collaborative decision-making framework based on multi-agent, design the collaborative decision-making model, discuss the emergency decision-making mechanism based on scenario-response, through effective collaboration based on multi-agent, achieve natural disaster dynamic emergency decision-making process.

scholarly journals Influence of Culture on Understanding Astronomical Concepts

1990 ◽  
Vol 105 ◽  
pp. 239-242
Author(s):  
Mazlan Othman
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Political System ◽  
World View ◽  
Decision Making Process ◽  
Cultural Environment ◽  
Multicultural Society ◽  
Space And Time ◽  
Realistic Approach ◽  
The Way

Culture is defined as a society’s system of values, ideology and social codes of behavior; its productive technologies and modes of consumption; its religious dogmas, myths, and taboos; and its social structure, political system and decision-making process (Coombes, 1985). The cultural environment in which an individual is raised is thus fundamental to the life view with which he perceives his world. Since his world view encompasses ideas of space and time, it is therefore not surprising that his understanding of astronomical concepts is inextricably bound to his cultural envelope.This paper sets out to examine some of the ways cultural complexities affect the understanding of astronomical concepts and thus to make the case for a more realistic approach to the teaching of astronomy in a multicultural society, recognizing the importance of culture and the way students learn (Burger, 1973; Teynolds and Skilbeck, 1976).

scholarly journals Intensive agriculture, marketing and social structure: the case of south-eastern Spain

2018 ◽  
Vol 64 (No. 8) ◽  
pp. 367-377 ◽  
Author(s):  
Rafael Gonzalo Herranz De ◽  
Sebastián Fernandez-Prados Juan
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Decision Making Process ◽  
Binary Logistic Regression Model ◽  
Auction Houses ◽  
The Social ◽  
Decision Making Processes ◽  
Marketing Variables

The main purpose of this study was to analyse the opinions of farmers in the province of Almería concerning the state of the fruit and vegetable sector, to learn about the main considerations in their decision-making processes when marketing their products and their assessment of the image of companies and cooperatives and to analyse the social structure of this collective. To that end, the analysis was conducted on three levels: a descriptive analysis on two levels – a quantitative analysis of the socio-demographic, socio-economic and marketing characteristics of farmers in the province of Almería and a qualitative analysis based on the opinions of farmers and a group of experts in the sector; and an explanatory analysis, based on a binary logistic regression model, to show how decision-making occurs in the marketing dialectic, whether it either be at the source (auction) or the end-point (cooperative). The conclusion is that the marketing variables that are most tied to context – such as price, timeframe or certification – better explain the decision-making process of farmers in the province of Almería when marketing their products, both for cooperative members and for those who sell their products in alhóndigas (traditional auction houses).

The Impact of Task Information Feedback on Ethical Reasoning

2006 ◽  
Vol 18 (1) ◽  
pp. 103-116 ◽  
Author(s):  
Dawn W. Massey ◽  
Linda Thorne
Keyword(s):  
Decision Making ◽  
Public Interest ◽  
Ethical Dilemmas ◽  
Ethical Reasoning ◽  
Accounting Students ◽  
Decision Making Process ◽  
Information Feedback ◽  
The Public ◽  
Cognitive Decision ◽  
The Impact

This study investigates whether task information feedback (TIF) promotes 84 auditors' and accounting students' use of higher ethical reasoning, thereby increasing their tendency to consider the public interest in the resolution of ethical dilemmas. TIF is a type of feedback in which subjects are provided with guidance about the cognitive decision-making process they should use. In our experiment, subjects used higher ethical reasoning to resolve audit dilemmas after receiving TIF than they did before receiving TIF. Accordingly, our findings suggest that TIF is effective in promoting higher ethical reasoning and thus increasing the tendency of practicing and aspiring auditors to consider the public interest when resolving ethical dilemmas.

A Study of Intelligent Decision Supporting System Based on Multi-Agent Exercise Prescription of Psychological Disorder

2014 ◽  
Vol 926-930 ◽  
pp. 1140-1143
Author(s):  
Hui Gao ◽  
Hong Jiang Wu ◽  
Hai Yan Zhao
Keyword(s):  
Decision Making ◽  
Exercise Prescription ◽  
Psychological Disorder ◽  
Decision Making Process ◽  
Supporting System ◽  
Intelligent Decision ◽  
Decision Supporting ◽  
Decision Supporting System ◽  
Multi Agent ◽  
Technical Features

This paper combines the technical features of multi-agent to form the intelligent decision supporting system for exercise prescription of psychological disorder based on multi-agent. And studies for the system decision-making process and system implementation are also presented. Meanwhile, it shows the insufficiency of the intelligent decision supporting system to lay a foundation for the realization of computerization in exercise prescription of psychological disorder.

ETHICS OF EXPERIMENTATION

PEDIATRICS ◽  
1977 ◽  
Vol 60 (6) ◽  
pp. 872-872
Author(s):  
B. Barber ◽  
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Scientific Knowledge ◽  
Human Subjects ◽  
The Other ◽  
Decision Making Process ◽  
Scientific Achievement ◽  
Medical Institutions ◽  
The Social ◽  
The One

. . . Medical institutions and individual investigators operate today with two powerful sets of values and goals. On the one hand there is the pursuit and advancement of scientific knowledge. On the other there is the provision of humane and effective therapy for patients. . . . There is evidence that the enhanced excitement attending scientific achievement and the rewards bestowed on it in recent decades have skewed the decision-making process in many cases of conflict. . . . Our data show that the social structure of competition and reward is one of the sources of permissive behavior in experimentation with human subjects...

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