DALT 2003: Declarative Agent Languages and Technologies pp 76-96 | Cite as
An Agent-Based Domain Specific Framework for Rapid Prototyping of Applications in Evolutionary Biology
Abstract
In this paper we present a brief overview of the ΦLOG project, aimed at the development of a domain specific framework for the rapid prototyping of applications in evolutionary biology. This includes the development of a domain specific language, called ΦLOG, and an agent-based implementation for the monitoring and execution of ΦLOG’s programs. A ΦLOG program – representing an intended application from an evolutionary biologist – is a specification of what to do to achieve her/his goal. The execution and monitoring component of our system will automatically figure out how to do it. We achieve that by viewing the available bioinformatic tools and data repositories as web services and casting the problem of execution of a sequence of bioinformatic services (possibly with loops, branches, and conditionals, specified by biologists) as the web services composition problem.
Keywords
Rapid Prototype Service Description Horn Clause Partial Plan Service BrokerPreview
Unable to display preview. Download preview PDF.
References
- 1.van Deursen, A., Klint, P., Visser, J.: Domain-Specific Languages: an Annotated Bibliography (2000), http://www.cwi.nl/~arie/papers/dslbib
- 2.Maddison, D.R., Swofford, D., Maddison, W.: NEXUS: An Extensible File Format for Systematic Information. Syst. Biol. 464, 590–621 (1997)CrossRefGoogle Scholar
- 3.Gonner, G., Hallet, M.: Darwin 2.0. Technical report, ETH-Zurich (2000)Google Scholar
- 4.Baker, P., Brass, A., Bechoofer, S., Goble, C., Paton, N., Stevens, R.: TAMBIS – Transparent Access to Multiple Bioinformatics Information Sources. In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology (1998)Google Scholar
- 5.Maddison, D.R., Maddison, W.: Mesquite: A Modular System for Evolutionary Analysi. Technical report, U. of Arizona (2001)Google Scholar
- 6.Standardizing Biological Data Interchange Through Web Services (2001), omnigene.sourceforge.net
- 7.Swofford, D.L., Olsen, G.J., Waddell, P.J., Hillis, D.M.: Phylogenetic inference. In: Molecular Systematics, pp. 407–514. Sinauer Associates, Sunderland (1996)Google Scholar
- 8.Schmidt, D.: Denotational Semantics: a Methodology for Language Development. W.C. Brown Publishers (1986)Google Scholar
- 9.Levesque, H., Reiter, R., Lesperance, Y., Lin, F., Scherl, R.: GOLOG: A logic programming language for dynamic domains. Journal of Logic Programming 31, 59–84 (1997)MATHCrossRefMathSciNetGoogle Scholar
- 10.Pontelli, E., Ranjan, D., Milligan, B., Gupta, G.: Design and Implementation of a Domain Specific Language for Phylogenetic Inference. Journal of Bioinformatics and Computational Biology 1, 1–29 (2003)CrossRefGoogle Scholar
- 11.DAML-S Coalition: Ankolekar, A., Burstein, M., Hobbs, J., Lassila, O., Martin, D., McIlraith, S., Narayanan, S., Paolucci, M., Payne, T., Sycara, K., Zeng, H.: DAML-S: Semantic markup for Web services. In: Proc. International Semantic Web Working Symposium (SWWS), pp. 411–430 (2001)Google Scholar
- 12.Stevens, R.: Bio-Ontology Reference Collection, cs.man.ac.uk/~stevens/onto-publications.html
- 13.Bio-Ontologies Consortium, http://www.bioontology.org
- 14.Cheyer, A., Martin, D.: The Open Agent Architecture. Journal of Autonomous Agents and Multi-Agent Systems 4, 143–148 (2001)CrossRefGoogle Scholar
- 15.McIlraith, S., Son, T.: Adapting golog for composition of semantic web services. In: Proceedings of the Eighth International Conference on Principles of Knowledge Representation and Reasoning (KR 2002), pp. 482–493. Morgan Kaufmann Publisher, San Francisco (2002)Google Scholar
- 16.McIlraith, S., Son, T., Zeng, H.: Semantic Web services. IEEE Intelligent Systems (Special Issue on the Semantic Web) 16, 46–53 (2001)Google Scholar
- 17.Fowler, J., Perry, B., Nodine, M., Bargmeyer, B.: Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record 28(1), 60–67 (1999)CrossRefGoogle Scholar
- 18.Sycara, K., Paolucci, M., van Velsen, M., Giampapa, J.: The retsina mas infrastructure. In: Autonomous Agents and MAS (2003) (to appear)Google Scholar
- 19.Leite, J., Alferes, J., Pereira, L.: MINERVA: a Dynamic Logic Programeing Agent Architecture. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS (LNAI), vol. 2333, p. 141. Springer, Heidelberg (2002)CrossRefGoogle Scholar
- 20.Gupta, G., Pontelli, E.: Specification, Implementation, and Verification of Domain Specific Languages: a Logic Programming-based Approach. In: Computational Logic: from Logic Programming into the Future, Springer, Heidelberg (2001)Google Scholar
- 21.Reiter, R.: KNOWLEDGE IN ACTION: Logical Foundations for Describing and Implementing Dynamical Systems. MIT Press, Cambridge (2001)Google Scholar
- 22.Jones, N.: Introduction to Partial Evaluation. ACM Computing Survey 28, 480–503 (1996)CrossRefGoogle Scholar
- 23.Sahlin, D.: The mixtus approach to the automatic evaluation of full prolog. In: Proceedings of the North American Conference on Logic Programming, pp. 377–398. MIT Press, Cambridge (1990)Google Scholar
- 24.Niemela, I., Simons, P.: Smodels - An Implementation of the Stable Model and Well-Founded Semantics for Normal LP. In: Logic Programming and Nonmonotonic Reasoning, pp. 421–430. Springer, Heidelberg (1997)Google Scholar
- 25.De Giacomo, G., Lespérance, Y., Levesque, H.: ConGolog, a concurrent programming language based on the situation calculus. Artificial Intelligence 121, 109–169 (2000)MATHCrossRefMathSciNetGoogle Scholar
- 26.Son, T., Baral, C., McIlraith, S.: Domain dependent knowledge in planning - an answer set planning approach. In: Proceedings of the 6th International Conference on Logic Programming and NonMonotonic Reasoning, Vienna, pp. 226–239 (2001)Google Scholar
- 27.Son, T., Pontelli, E.: Reasoning about actions in prioritized default theory. In: Flesca, S., Greco, S., Leone, N., Ianni, G. (eds.) JELIA 2002. LNCS (LNAI), vol. 2424, pp. 369–381. Springer, Heidelberg (2002)CrossRefGoogle Scholar
- 28.Lifschitz, V.: Answer set planning. In: International Conference on Logic Programming, pp. 23–37 (1999)Google Scholar
- 29.Bentley, J.: Programming pearls: Little languages. Communications of the ACM 29, 711–721 (1986)CrossRefMathSciNetGoogle Scholar