The USP Farmers herding team

This paper describes the development steps and core ideas used by the USP Farmers herding team, that has participated in the 2010 edition of the Multi-Agent Programming Contest (MAPC 2010). This is the third year that the competitors must design a team of herding agents, whose global goal is to lead...

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Vydáno v:Annals of mathematics and artificial intelligence Ročník 61; číslo 4; s. 369 - 383
Hlavní autoři: Gouveia, Gustavo Pacianotto, Pereira, Ricardo Hahn, Sichman, Jaime Simão
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.04.2011
Springer Nature B.V
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ISSN:1012-2443, 1573-7470
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Abstract This paper describes the development steps and core ideas used by the USP Farmers herding team, that has participated in the 2010 edition of the Multi-Agent Programming Contest (MAPC 2010). This is the third year that the competitors must design a team of herding agents, whose global goal is to lead a maximum number of cows to their own corral. As this is a very complex task and requires coordination of the team, we have developed the individual agents using the Jason (Bordini et al. 2007 ) interpreter for AgentSpeak(L) (Rao 1996 ). Moreover, the coordination strategy was defined using the OISE  +   (Hübner et al. 2002 , 2007 ) organizational model. We have also used the idea of artifact (Ricci et al. 2007 ) to develop global services, available to all the agents. Moreover, it is clear that for this contest some pure procedural processing should be developed in a lower abstraction level (Hübner et al. 2008 ); therefore some calculation and pre-defined global decisions were implemented by Java classes.
AbstractList This paper describes the development steps and core ideas used by the USP Farmers herding team, that has participated in the 2010 edition of the Multi-Agent Programming Contest (MAPC 2010). This is the third year that the competitors must design a team of herding agents, whose global goal is to lead a maximum number of cows to their own corral. As this is a very complex task and requires coordination of the team, we have developed the individual agents using the Jason (Bordini et al. 2007) interpreter for AgentSpeak(L) (Rao 1996). Moreover, the coordination strategy was defined using the OISE +  (Hübner et al. 2002, 2007) organizational model. We have also used the idea of artifact (Ricci et al. 2007) to develop global services, available to all the agents. Moreover, it is clear that for this contest some pure procedural processing should be developed in a lower abstraction level (Hübner et al. 2008); therefore some calculation and pre-defined global decisions were implemented by Java classes.
This paper describes the development steps and core ideas used by the USP Farmers herding team, that has participated in the 2010 edition of the Multi-Agent Programming Contest (MAPC 2010). This is the third year that the competitors must design a team of herding agents, whose global goal is to lead a maximum number of cows to their own corral. As this is a very complex task and requires coordination of the team, we have developed the individual agents using the Jason (Bordini et al. 2007 ) interpreter for AgentSpeak(L) (Rao 1996 ). Moreover, the coordination strategy was defined using the OISE  +   (Hübner et al. 2002 , 2007 ) organizational model. We have also used the idea of artifact (Ricci et al. 2007 ) to develop global services, available to all the agents. Moreover, it is clear that for this contest some pure procedural processing should be developed in a lower abstraction level (Hübner et al. 2008 ); therefore some calculation and pre-defined global decisions were implemented by Java classes.
Author Gouveia, Gustavo Pacianotto
Sichman, Jaime Simão
Pereira, Ricardo Hahn
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  fullname: Sichman, Jaime Simão
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10.1504/IJAOSE.2007.016266
10.1111/j.2517-6161.1977.tb01600.x
10.1007/978-3-642-03278-3_18
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BordiniRHHübnerJFWooldridgeMProgramming Multi-Agent Systems in AgentSpeak Using Jason2007Baffins LaneWiley1132.6802110.1002/9780470061848
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– reference: Hübner, J.F., Bordini, R.H., Gouveia, G.P., Pereira, R.H., Picard, G., Piunti, M., Sichman, J.S.: Using jason, moise, and cartago to develop a team of cowboys. In: Dix, J., Fisher, M., Novak, P. (eds.) Proceedings of 10th International Workshop on Computational Logic in Multi-Agent Systems (CLIMA 2009), Agent Contest, pp. 203–207 (2009)
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SubjectTerms Artificial Intelligence
Complex Systems
Computer Science
Coordination
Mathematics
Multiagent systems
Organizational aspects
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