@conference { ,
	note = {Seminar presentation at MTA KTI},
	title = {Az adócsalás elterjedtségének változása - becslések a TAXSIM ágensalapú adócsalás-szimulátor segítségével},
	institution = {MTA KTI},
	year = {2009},
	howpublished = {Presentation at MTA KTI weekly seminar},
	author = {Szabó , Attila and Gulyás , László and Tóth , István János}
}

@inproceedings { ElFarol2009Fables,
	eprint = {/images/publikaciok/epia_masta_2009_fables_elfarol.pdf},
	editor = {Seabra Lopes, L.; Lau, N.; Mariano, P.; Rocha, L.M.},
	address = {Aveiro},
	booktitle = {Progress in Artificial Intelligence},
	month = {October 12-15},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	title = {Modeling Autonomous Adaptive Agents with Functional Language for Simulations},
	volume = {5816},
	year = {2009},
	keywords = {functional programming, agent-based simulations, multiformalism, El Farol Bar problem},
	abstract = {The basic concept of agent-based modeling is to create adaptive agents to operate in a changing environment. Agents make autonomous decisions and modify their environment through continuous interactions. The Functional Agent-Based Language for Simulations (FABLES) is a special purpose language for ABM that is intended to reduce programming skills required to create simulations. The aim of FABLES is to allow modelers to focus on modeling, and not on programming. This paper provides an overview of FABLES, explaining the traits and the design concepts of this hybrid language that merges features of objectoriented, functional and procedural languages to provide fexibility in model design. To demonstrate some of these issues, we describe modeling with FABLES via the popular El Farol Bar problem from a user perspective, by means of example.},
	note = {ISBN: 978-3-642-04685-8},
	author = {Legéndi , Richárd O. and Gulyás , László and Bocsi , Rajmund and Máhr , Tamás}
}

@inproceedings { TaxsimDoE2009,
	abstract = {Risk, audit frequency, expected utility, decision on the rate of tax evasion: probably these words occur to the reader first about tax evasion modeling. However, it can easily turn out in the real world that the everyday evader has not got reliable information about the risks of evasion, about the possible amount of fine, or about the efficiency of the tax authorities. The TAXSIM agent-based tax evasion model was developed to understand the macro-level taxpayer behavior better with its help. The model and first simulation results were presented on the ESSA 2008 conference. The aim of this article is to present a sensitivity analysis of the model. We applied Design of Experiments method to reveal the main parameter-response correlations on a selected parameter domain and used two extreme parameter sets to examine on what level the contradictory factors can compensate each other.},
	keywords = {Agent-based computational economics, agent-based simulation, tax  modeling, tax evasion},
	year = {2009},
	volume = {5816},
	title = {Sensitivity Analysis of a Tax Evasion Model Applying  Automated Design of Experiments},
	series = {Lecture Notes in Artificial Intelligence},
	publisher = {Springer},
	note = {ISBN: 978-3-642-04685-8},
	month = {October 12-15},
	editor = {Seabra Lopes, L.; Lau, N.; Mariano, P.; Rocha, L.M.},
	booktitle = {Progress in Artificial Intelligence},
	address = {Aveiro},
	eprint = {/images/publikaciok/epia09_taxsim_springer_fulltext.pdf},
	author = {Szabó , Attila and Gulyás , László and Tóth , István János}
}

@inproceedings { ABMPartitioning,
	abstract = {Agent Based Modeling (ABM) is a popular technique for dealing with complex systems. An ABM usually consists of many autonomous, interacting agents, and modelers are interested in the system-level, emergent behavior of these agents. In developing an ABM, scalability is one of most critical factors for validation. Looking for an acceptable solution, parallelization often comes into play. However, writing a parallel version of an ABM simulation is at least as hard as developing the original model, and usually takes an expert of the area. This paper demonstrates our ongoing developments based on the idea that ABMs can be classified on the basis of their interior communication topology. We have developed six reusable parallel simulation schemas that can be instantiated with simulation-specific code using the Java language. Our aim was to give general, domain independent support for ABM modelers, where the parallel piece of code is completely transparent. The hope is that ABM modelers can treat their parallel system in almost the same way as they do the original. The paper details our approach as well as the implementation and, towards the end, shows performance results and how one of the templates works in a GRID system.},
	keywords = {agent-based moeling, grid computing},
	year = {2009},
	volume = {2009},
	title = { A Modeler-friendly API for ABM Partitioning},
	series = {Proceedings of the ASME 2009 International Design Engineering Technical Conferences &  Computers and Information in Engineering Conference},
	publisher = {ASME},
	month = {August },
	address = {San Diego},
	author = {Gulyás , László and Szemes , Gábor and Kampis , George and de Back , Walter}
}

@bscthesis { ,
	annote = {MSc Thesis},
	eprint = {/images/publikaciok/2009_msc_lro_fables.pdf},
	institution = {Eötvös Loránd Tudományegyetem},
	month = {January},
	title = {FABLES - Funkcionális programozási nyelv ágens-alapú  szimulációkhoz},
	year = {2009},
	author = {Legéndi , Richárd O.}
}

@inproceedings { ,
	abstract = {TAXSIM is a complex artificial social system that was developed to analyze tax evasion behavior. It is an agent-based model in which competition of firms, cooperation between taxpayer agents and the government, and negotiation between employers and employees determines the current state of the modeled market sector, including the level of tax evasion. It is important that tax evasion is a ‘side effect’ of the functioning system: firms of the modeled society try to increase their productivity, and employees focus on getting the best job available. To maximize welfare, agents adjust to their neighbors’ behavior and learn from their own experiences too. The employer and employee neighborhoods are defined by the social network subsystem of the model that describes agent relations. This article compares system behavior – the experienced level of tax evasion in particular – using some basic network topologies (two dimensional grid, Erdős-Rényi random graph and Watts-Stogratz network) in various scenarios. We examine how information enhances taxpayers’ cooperation with the government compared to situations where agents exclusively learn from their own individual experiences. We also investigate how fast employees adopt new strategies based on the information extracted from their social networks when employers with preferential taxes (typically multinational companies) appear and offer totally legal jobs with higher salaries. We also analyze a scenario when a firm suddenly and dramatically changes its tax paying behavior, discussing the role the above mentioned network topologies play in the emergence of system level behavior.},
	keywords = {agent-based model, tax compliance, social networks},
	year = {2009},
	title = {Impacts of Network Topology on Tax Evasion in a Complex Artificial Social System},
	institution = {RGS},
	annote = {RGS 2011 Conference},
	address = {Manchester},
	author = {Szabó , Attila and Gulyás , László and Tóth , István János}
}

@inproceedings { ,
	abstract = {Experimenting with a computational model is usually a mechanical task that is supported by appropriate applications. However the special needs of the relatively new agent-based modeling (ABM) technique often require the use of specialized software tools instead of existing statistical programs. Many of these tools support automated simulation execution, but not much of them assists the experimenter from experiment planning to output data visualization – features that made the statistical programs so popular. The methodology of distributed system programming (agent action scheduling, communication of agents, etc. in case of ABM) hasn’t been standardized yet: until that a new approach to experiment control is needed to ease the pain. This article demonstrates the usability of the Model Exploration Module (MEME) of the Multi-Agent Simulation Suite (MASS) through a case study. },
	year = {2009},
	title = {Experiments with Complex Agent-Based Systems Using the MEME Tool: A Case Study},
	organization = {ASME},
	annote = {29th Computers and Information in Engineering Conference},
	address = {San Diego},
	author = {Szabó , Attila and Bocsi , Rajmund and Ferschl , Gábor and Bálint , Balázs and Gulyás , László}
}

@book { Kampis2009,
	year = {2009},
	publisher = {Springer-Verlag},
	title = {Feedback Self-Organization},
	author = {Kampis , George and Gulyás , László}
}

@inbook { ,
	note = {ISBN 978-963-9796-58-4 },
	title = {Az adócsalás elterjedtségének változása - becslések a TAXSIM ágensalapú adócsalás-szimulátor segítségével},
	year = {2009},
	pages = {65-83},
	editor = {András Semjén and István János Tóth},
	booktitle = {Rejtett Gazdaság},
	url = {http://www.mtakti.hu/file/download/ktik11/ktik11_07_adocsalas.pdf},
	publisher = {MTA KTI, Budapest},
	author = {Szabó , Attila and Gulyás , László and Tóth , István János}
}