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Social Simulation (BWSS), 2012 Third Brazilian Workshop on

Date 20-23 Oct. 2012

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Displaying Results 1 - 25 of 32
  • [Front cover]

    Page(s): C4
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  • [Title page i]

    Page(s): i
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  • [Title page iii]

    Page(s): iii
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  • [Copyright notice]

    Page(s): iv
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  • Table of contents

    Page(s): v - vii
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  • Preface

    Page(s): viii - x
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  • Organizing Committee

    Page(s): xi
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  • Program Committee

    Page(s): xii - xiii
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  • 2012 Brazilian Workshop on Social Simulation - BWSS 2012 - Official Photo

    Page(s): xiv
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  • Using Social Simulation for Aid and Development Analytics during Armed Conflict: Experiences from Uruzgan

    Page(s): 1 - 8
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (895 KB) |  | HTML iconHTML  

    A participatory social simulation framework is presented to support context analysis in Uruzgan province's Baluchi Valley region, Afghanistan under the banner of context sensitivity. Working in fragile states and areas affected by armed conflict is challenging for locals, development workers and researchers alike. Meaningful interaction with locals for data collection purposes is difficult and techniques applied should balance the desire for broad and in-depth data elicitation with sound risk management. Rarely can standard solutions deliver the results needed for making informed decisions in such circumstance. The reader is shown protocols for data collection and analytics that are tailored to doing context analysis and decision support for development cooperation in areas affected by armed conflict. Select results are presented to demonstrate the usefulness of the framework. The article concludes with a comparison of the proposed framework with development cooperation requirements. View full abstract»

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  • Individual and Collective Rationality in Complex Economic Systems

    Page(s): 9 - 14
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (646 KB) |  | HTML iconHTML  

    Macroeconomics has been preoccupied by the analysis of equilibrium states and their properties. It is assumed that there are mechanisms which will always drive the economy to equilibrium, from which it is perturbed only by exogenous shocks. What is needed however, are models which treat the economy as a complex evolving system which may undergo sudden and radical endogenous changes. The interaction between the individuals and firms in the economy produces aggregate phenomena which are intrinsically different from the behavior of the individuals. Collective results may be more or less ârationalâ than individual behavior. Simulating agent-based models allows us to model the evolution of the economy and the emergence of crises which are absent from standard macroeconomic models. View full abstract»

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  • Social Simulation, Seeing Ahead

    Page(s): 15 - 17
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    The present paper introduces the aims of the BWSS-2012 Panel on scanning the future by looking to the tendencies of Computation and Complexity Sciences, namely Agents and Artificial Intelligence, in order to situate the power of current Social Simulation within the network of sciences. View full abstract»

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  • An Overview of Social Simulation Research in Brazil

    Page(s): 18 - 22
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    Presented as a panel at the Third Brazilian Workshop on Social Simulation (BWSS 2012), held in Curitiba, Brazil, on October 20th. 2012, this paper presents an overview of the current research on social simulation in Brazilian research groups. View full abstract»

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  • Elementary Social Functions: Concept and Interrelation to Social Dependence Relations

    Page(s): 23 - 30
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    This paper introduces a general notion of elementary systemic functions and shows how elementary systemic functions can be instantiated as elementary social functions in agent societies, thus allowing for a functional view of agent interactions. The paper shows a way to interrelate elementary social functions and social dependence relations, for social dependence relations determined by maintenance goals. Also, the paper introduces the notions of elementary functional cycles and elementary functional networks, with functional cycles constituting the operational bases of functional networks, and shows how such structures interrelate to social dependence networks. An example social system is analysed from this elementary functional point of view. Starting from its social dependence network, an elementary functional network is determined for such system. The distinction between elementary social functions and maintenance goals is emphasized in the analysis of the example. View full abstract»

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  • A Study on Socio-spatial Segregation Models Based on Multi-agent Systems

    Page(s): 31 - 38
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1256 KB) |  | HTML iconHTML  

    This work studies the modeling Socio-Spatial Segregation. This phenomenon occurs, most often, unintentionally in some cities, especially in large population centers. Multiagent simulation is adopted using the Net Logo software. From an existing template available in the models library, we developed some examples with variations for the basic case of social classes' segregation. View full abstract»

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  • A Proposal for Interoperability to Agent Communication Using Synonyms

    Page(s): 39 - 43
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    This paper describes the development of an model in area of communication between agents. This study involves the concepts of agents and communication issues in their interactions. Using the ontology as a technique of classification of knowledge, the model includes an approach to build an intermediate software component between agents and ontological knowledge base, using synonyms in treatment of inaccuracy information. The software component uses Jenaand SPARQL for manipulation of the ontology. To validation, the case study used is the model of the multi-agent system that represents the urban vegetable garden of Parque São JerÃ'nimo (Spain). View full abstract»

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  • Stock Prices Assessment: Proposal of a New Index Based on Volume Weighted Historical Prices

    Page(s): 44 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (747 KB) |  | HTML iconHTML  

    The importance of considering the volumes to analyze stock prices movements can be considered as a well-accepted practice in the financial area. However, when we look at the scientific production in this field, we still cannot find a unified model that includes volume and price variations for stock assessment purposes. In this paper we present a computer model that could fulfill this gap, proposing a new index to evaluate stock prices based on their historical prices and volumes traded. Besides the model can be considered mathematically very simple, it was able to improve significantly the performance of agents operating with real financial data. Based on the results obtained, and also on the very intuitive logic of our model, we believe that the index proposed here can be very useful to help investors on the activity of determining ideal price ranges for buying and selling stocks in the financial market. View full abstract»

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  • Competitiveness and Social Inclusion within National Programme for Production and Use of Biofuels: Negative Feedbacks on Profitability Awareness in Sharp Institutional Settlements in Brazil South Region Concerning Soybean Oil

    Page(s): 52 - 59
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    This paper intends to make some inferences about the relation of competiveness and social inclusion, and interpret in an operational manner the success of South Region soybean familiar growers ascribed to the National Programme for Biofuels Production and Use. It inquires the hypothesis of sharp institutional arrangements acting as an interface in the social system through whose structure the interrelation between competitiveness and social inclusion might take place. The methodology include collected data, statistical treatment of series and modelling the system. The theoretical framework stemmed from Ulrich Beck's Risk Society, Garret Hardin's Tragedy of the Commons and Eli nor Ostrom's Governing the Commons to Cesar's three-dimension analyses of governance towards competitiveness. The assessments confirmed that Insitutional Settlements are suitable to preclude Risks, but it needs finer operationalization. The model helped to enlight that the most sensitive variable is profitability and if there are severe perturbations, then the negative feedbacks will trigger social vulnerability. View full abstract»

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  • An Evolutionary Learning Approach for Robot Path Planning with Fuzzy Obstacle Detection and Avoidance in a Multi-agent Environment

    Page(s): 60 - 67
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    This paper describes a Fuzzy-Genetic Algorithm Approach for path planning of mobile robots with obstacle detection and avoidance in static and dynamic scenarios. Through the software Net logo, used in simulations of multiagent applications, a seminal model was developed for the given problem. The model, which contains a robot and scenarios with or without obstacles, is responsible for determining the best path used by a robot to achieve the goal state in a shorter number of steps and avoiding collisions. Additionally, a performance evaluation of this model in comparison with A* algorithm is presented. View full abstract»

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  • How Coalitions Enhance Cooperation in the IPD over Complex Networks

    Page(s): 68 - 74
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    Grouping agents into coalitions can be an important way of cooperation through which multi-agent systems(MAS) improve their performance, accomplish their assignments, increase their benefits, and achieve their goals. However, agents belonging to a coalition must decide how they behave to increase their gains. In this paper, we present a model that combines learning and coalition formation to enhance cooperation over the Iterated Prisoner's Dilemma (IPD). We focus on agents interacting over complex networks since they provide a realistic model of the nowadays interconnected world. Our results suggest that coalitions are a relevant contribution to achieve cooperation in the IPD. View full abstract»

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  • A New Model of Agent Self-Regulation Based on Profile Discovery in Social Networks Applied to the Ultimatum Game

    Page(s): 75 - 82
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    This paper proposes a new model of interactions between agents who play the Ultimatum Game (UG) from the characteristics of knowledge discovery techniques and interactions in Social Networking Sites (SNS), more precisely on Twitter. To support the work, the authors present simulations using the UG with a spatial and evolutionary approach as well as technical knowledge discovery using SNS. With this we intend to find a more efficient way of interactions in UG, where failure is reduced in each round. For this purpose, the authors present here two new techniques that will be internalized in agents: the use of a historic reputation of the interactions between agents and, in certain periods of time, to perform the profile discovery profile of the agent offer in a general scope and their particular interactions with each agent. View full abstract»

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  • Analyzing the Evolution of Social Exchange Strategies in Social Preference-Based MAS through an Evolutionary Spatial Approach of the Ultimatum Game

    Page(s): 83 - 90
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    This paper presents a multiagent-based approach of an evolutionary and spatial version of the Ultimatum Game interpreted as Game of Social Exchange Processes, where the agents organized in a complex network evolve their exchange strategies considering their possibly different social preferences. We analyze the possibility of the emergence of the equilibrium/fairness behavior when the agents, trying to maximize their social preference-based utility functions, increase the number of successful interactions. We consider an incomplete information game, since the agents do not have information about the other agents' exchange strategies. For the strategy learning process, a genetic algorithm is used, where the agents aiming at the self-regulation of the exchanges allowed by the game, balance individual and collective goals expressed by their social preferences. We also analyze a second type of scenario, considering an influence politics, when the average of the offer and reserve values of all agents adopting the same social preference form becomes public in a single simulation step, and the agents of the same network, have been influenced by that, imitate those values. At the same time, the network topology is modified, representing some kind of mobility, in order to analyze if the results are dependent on the neighborhood. The model was implemented in Net Logo. View full abstract»

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  • An ABM to Monitor Landscape Dynamics and to Undertake Collective Foresight Investigations in the Amazon

    Page(s): 91 - 98
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    By seeking for alternative land uses in the Amazon, we designed an Agent-Based Model (ABM) containing a set of rural practices for small-scale farmers. In order to reach a more sustainable development, we analyze the benefits and the constraints of these practices. By comparing various production activities starting from the same initial conditions, we test several strategies and their efficiency faced to different initial conditions and environmental laws. Our study does not compare solely the financial profits of the agricultural activities. But it seeks to better understand and assess the feasibility of new activities in terms of family labor management, availability of land and economic profitability. Our first results conclude that a strict compliance with the law is not economically sustainable if the farmers still apply their standard land use strategies. We hope that this model could become a useful tool for the small farmers. By easily modifying the behavior of an agent, they could virtually invent and assess the efficiency of new practices on their farm. We also hope that this tool could become a means to facilitate dialogue between different stakeholders in the Amazon, in order to achieve more sustainable development. View full abstract»

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  • A Multiagent Based Road Pricing Approach for Urban Traffic Management

    Page(s): 99 - 105
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (281 KB) |  | HTML iconHTML  

    Traffic is a social system composed by different interacting entities and its optimization is not a trivial task. When drivers and infrastructure co-adapt to deal with the varying demand and infrastructure changes, respectively, centralized traffic optimization approaches face many difficulties. This work presents a multiagent based approach that uses variable road pricing to improve traffic efficiency. While infrastructure updates roads prices to cope with the varying demand, drivers try to adapt themselves to the road network changes in order to minimize their costs. Drivers have different preferences, caring either about their travel time (being hasty) or credit expenditure (being economic). Results show that the proposed road pricing approach benefits the hasty drivers, while more sophisticated pricing update policies need to be developed in order to create better alternatives for economic drivers. View full abstract»

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  • An Agent-Based Model Suitable for Discussion of Institutions, Welfare and Capitalism

    Page(s): 106 - 111
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (226 KB) |  | HTML iconHTML  

    Tiebout's model operationalizes assumptions about decentralized behavior of a population of autonomous individuals who seek greater utility through choices between jurisdictions with different political institutions designed to aggregate preferences. Based on an agent-based model inspired by Tiebout's model, we discuss the validity of these assumptions for the case of empirical situations present in capitalist societies. View full abstract»

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