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educing the overhead of Jadex Binary is to reduce the use of the Java ReflectionAPI to access complex objects. This could be accomplished by injectingbytecode-engineered delegate classes which use direct method calls to retrieveand set bean properties.In addition, the encoder and decoder of Jadex Binary are largely independentof the Jadex platform. It would therefore be possible to include the messageformat in other agent platforms, thereby allowing them to offer an alternativecompact message format for agent communications for certain types of applications.Overall, Jadex Binary is both able to represent agent messages in a compactform and perform in a reasonably fast manner. Since these two features werethe primary goal of Jadex Binary, it does so by sacrificing others like humanreadability. Nevertheless, if those features are important, other established languagesalready provide sufficient support. The addition of Jadex Binary allowsa developer of a multi-agent system to pick the kind of format that provides thebest match for the requirements of a specific application and switch the formatdepending on state of the application in the development cycle.References1. S. Willmott, J. Dale, B. Burg, P. Charlton, and P. O’Brien, “Agentcities: A WorldwideOpen Agent Network,” Agentlink News, vol. 8, November 2001.2. T. Finin, J. Weber, G. Wiederhold, M. Genesereth, D. McKay, R. Fritzson,S. Shapiro, R. Pelavin, and J. McGuire, “Specification of the KQML agentcommunicationlanguage – plus example agent policies and architectures,” Tech.Rep. EIT TR 92-04, 1993.3. FIPA ACL Message Structure Specification, Foundation for Intelligent PhysicalAgents (FIPA), Dec. 2002, document no. FIPA00061. [Online]. Available:http://www.fipa.org4. FIPA SL Content Language Specification, Foundation for Intelligent PhysicalAgents (FIPA), Dec. 2002, document no. FIPA00008. [Online]. Available:http://www.fipa.org5. F. Bellifemine, F. Bergenti, G. Caire, and A. Poggi, “JADE - A Java Agent DevelopmentFramework,” in Multi-Agent Programming: Languages, Platforms andApplications, R. Bordini, M. Dastani, J. Dix, and A. El Fallah Seghrouchni, Eds.Springer, 2005, pp. 125–147.6. A. Pokahr and L. Braubach, “From a research to an industrial-strength agentplatform: Jadex V2,” in Business Services: Konzepte, Technologien, Anwendungen- 9. Internationale Tagung Wirtschaftsinformatik (WI 2009), H.-G. F. HansRobert Hansen, Dimitris Karagiannis, Ed. Österreichische Computer Gesellschaft,2 2009, pp. 769–778.7. J. Gosling, B. Joy, G. Steele, and G. Bracha, The Java Language SpecificationThird Second Edition. Addison-Wesley, 2005.8. C. Wiesner, S. Lhomme, and J. Cannon, “Extensible Binary Meta-Language(EBML),” Website, http://ebml.sourceforge.net/, 2012.9. The Unicode Consortium, The Unicode Standard. Addison Wesley, 2006.115
10. P. Hoffman and F. Yergeau, “UTF-16, an encoding of ISO 10646,”RFC 2781, Internet Engineering Task Force, 2 2000. [Online]. Available:http://www.ietf.org/rfc/rfc2781.txt11. L. P. Deutsch, “DEFLATE Compressed Data Format Specification version1.3,” RFC 1951, Internet Engineering Task Force, 5 1996. [Online]. Available:http://www.ietf.org/rfc/rfc1951.txt116
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Proceedings of the Tenth Internatio
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OrganisationOrganising CommitteeMeh
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Table of ContentseJason: an impleme
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in Sect. 3 the translation of the J
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init_count(0).max_count(2000).(a)(b
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For instance, a failure in the ERES
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{plan, fun start_count_trigger/1,fu
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single parameter, an Erlang record
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1. Belief annotations. Even though
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decisions taken during the design a
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Conceptual Integration of Agents wi
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Fig. 2. Active component structurep
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the service provider component. As
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Fig. 4. Web Service Invocationretri
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01: public interface IBankingServic
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tate them in the same way as in the
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01: public interface IChartService
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implementations being available for
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deliberative behavior in BDI archit
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layer modules (i.e. nodes) can be d
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different methods to choose the cur
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also a single scheduler module, imp
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andom choice (OR), conditional choi
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- Dealing with conflicts based on p
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5. Brooks, R. A. (1991) Intelligenc
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An Agent-Based Cognitive Robot Arch
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It has been argued that building ro
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EnvironmentHardwareLocal SoftwareC+
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a cognitive layer can connect as a
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can reliably be differentiated and
Page 66 and 67: 4 ExperimentTo evaluate the feasibi
Page 68 and 69: learn or gain knowledge from experi
Page 70 and 71: A Programming Framework for Multi-A
Page 72 and 73: exchange and storage of tuples (key
Page 74 and 75: Although some success [13] [14] hav
Page 76 and 77: as well as important non-functional
Page 78 and 79: component plans have been instantia
Page 80 and 81: A in the example) can evaluate all
Page 83 and 84: 1. robot-1 issues a Localization(ro
Page 85 and 86: ACKNOWLEDGMENTThis work has been su
Page 87 and 88: The code was analysed both objectiv
Page 89 and 90: a conversation is following. Additi
Page 91 and 92: the context of a communication-heav
Page 93 and 94: Table 1. Core Agent ProtocolsAgent
Page 95 and 96: statistically significant using an
Page 97 and 98: to the conversation and has a perfo
Page 99 and 100: principal reasons. Firstly, it is a
Page 101 and 102: 2. Muldoon, C., O’Hare, G.M.P., C
Page 103 and 104: In the following section we will at
Page 105 and 106: DevelopmentProductionHuman Readabil
Page 107 and 108: will then evaluate this new format
Page 109 and 110: encoder, it is first checked if the
Page 111 and 112: nents themselves. However, since th
Page 113 and 114: optimized for this format feature s
Page 115: Java serialization and Jadex Binary
Page 119 and 120: Caching the results of previous que
Page 121 and 122: querying an agent’s beliefs and g
Page 123 and 124: or relative performance of each pla
Page 125 and 126: were run for 1.5 minutes; 1.5 minut
Page 127 and 128: Size N K n p c qry U c upd Update c
Page 129 and 130: epresentation. The cache simply act
Page 131 and 132: 6 ConclusionWe presented an abstrac
Page 133 and 134: Typing Multi-Agent Programs in simp
Page 135 and 136: 1 // agent ag02 iterations (" zero
Page 137 and 138: 3.1 simpAL OverviewThe main inspira
Page 139 and 140: 3.2 Typing Agents with Tasks and Ro
Page 141 and 142: Defining Agent Scripts in simpAL (F
Page 143 and 144: that sends a message to the receive
Page 145 and 146: * error: wrong type for the param v
Page 147 and 148: Given an organization model, it is
Page 149 and 150: Learning to Improve Agent Behaviour
Page 151 and 152: 2.1 Agent Programming LanguagesAgen
Page 153 and 154: choosing actions is to find a good
Page 155 and 156: 1 init module {2 knowledge{3 block(
Page 157 and 158: of a module. For example, to change
Page 159 and 160: if bel(on(X,Y), clear(X)), a-goal(c
Page 161 and 162: mance. Figure 2d shows the same A f
Page 163 and 164: the current percepts of the agent.
Page 165: Author IndexAbdel-Naby, S., 69Alelc
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