Simulations of egoistic and altruistic behaviors using the vidya multiagent system platform

Pita, Marcelo; Neto, Fernando Buarque de Lima

doi:10.1145/1274000.1274047

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…Many platforms and models were proposed to support ABSS, e.g., the Schelling's segregation model [2], the garbage can model [3], the Sugarscape model [1] and the Vidya platform [4][5] [6]. Previous works introduced the PAX (Plausible Agents Matrix) framework [7], whose main objective is to facilitate the development of social simulations, considering modeling of spatial structuring elements [8].…”

Section: Introductionmentioning

confidence: 99%

Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework

Neto

Pita

Filho

2009

2009 Ninth International Conference on Intelligent Systems Design and Applications

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This paper investigates a new hybrid evolutionary agent model for agent-based social simulations (ABSS), which incorporates two decision components: (i) sub-symbolic (genetic) and (ii) symbolic (cultural). These components are coherently combined to produce a more plausible agent model. Experiments were carried out using the Plausible Agents Matrix (PAX) framework, and modeled a real dengue fever spreading scenario. They aim to analyze the qualitative and quantitative predictive power of the model. Previous work has explored the impact of structuring elements on agents' behaviors and the impacts of communication mechanisms on agents' behaviors using PAX. In this paper we investigated three types of agent models regarding to the combination of decision components: (1) agents only with genetic component; (2) agents only with cultural component; and (3) agents with both genetic and cultural components. Results show the importance of each component in the model and their synergic effects when combined.

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Section: Introductionmentioning

confidence: 99%

Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework

Neto

Pita

Filho

2009

2009 Ninth International Conference on Intelligent Systems Design and Applications

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“…Social simulations -and ABSS specifically-have supported the study of many social contexts and associated phenomena, such as egoism vs. altruism [3], reputation mechanisms [3]- [6], leadership-based coercive contexts [3]- [5], [7], social segregation [3]- [5], [8], culture transmission, spread of features across population (e.g. diseases) [5], [9], etc.…”

Section: Introductionmentioning

confidence: 99%

“…diseases) [5], [9], etc. The research field evolved greatly since Neumanns self-replicating machines and cellular automata (CA) to recent works in cognitive agent-based social simulations [10].…”

Section: Introductionmentioning

confidence: 99%

“…the Schellings segregation model [8], Garbage Can model [11], Sugarscape model [2], Vidya platform [3]- [5]. Not to forget the applications of swarm-based intelligent approaches.…”

Section: Introductionmentioning

confidence: 99%

“…egoism vs. altruism [3]) and simulating spread of diseases over populations in unstructured and primitive virtual worlds [5].…”

Section: Introductionmentioning

confidence: 99%

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Impact of communication on agent-based social simulations using the PAX framework

Pita

Neto

Filho

2009

2009 IEEE International Conference on Systems, Man and Cybernetics

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This paper investigates the impact of agents' communication on social simulations using the PAX framework. Previous works investigated the impact of structuring elements (e.g. houses, hospitals, roads, etc) on agents' behaviors. This work extends that, by investigating the combined results of different communication schemes and structural costs. To assess the plausibility of application of these ideas on real world problems, we modeled a small Brazilian town and scenarios of dengue fever spreading over its tiny population. Results show the relevance of communication on the overall population dynamics; combined results also reveal some curious social epiphenomena.

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Preventing design conflicts in distributed design systems composed of heterogeneous agents

Canbaz¹,

Yannou²,

Yvars³

2014

Engineering Applications of Artificial Intelligence

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In distributed design systems, while designers are connected to each other through dimensioning couplings, they have limited control over design and performance variables. Any inconsistency among design objectives and working procedures of heterogeneous designers interacting in the design system can result in design conflicts due to these couplings. Modeling design attitudes can help to understand inconsistencies and manage conflicts in design processes. We extend the conventional bottom-up or design supervision approach through agent-based attitude modeling techniques to a more powerful level. In our model, design agents can set requirements directly on their wellbeing values that represent how their design targets are likely to be met at a given moment of the design process. Some design conflicts can in this manner be prevented at an earlier phase of the design process. Set-based design and constraint programming techniques are used to explore the overall performance of stochastic design collaborations on a product modeled with uncertainties at a given moment of the design process. Monte Carlo simulations are performed to evaluate the performance of our set-based thinking approach, providing a variety of agent attitudes. The results show that the number of design conflicts occurring during the design process and the intensity of design conflicts are both reduced through our collaborative design platform.

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Simulations of egoistic and altruistic behaviors using the vidya multiagent system platform

Cited by 7 publications

References 6 publications

Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework

Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework

Impact of communication on agent-based social simulations using the PAX framework

Preventing design conflicts in distributed design systems composed of heterogeneous agents

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