Abstract
Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks have been applied successfully in large-scale software engineering applications. A framework constitutes the skeleton of the application, capturing its generic functionality. Frameworks are powerful as they promote code reusability and significantly reduce the amount of effort necessary to develop customized applications. They are well suited for the implementation of AGI software agents. Here we describe the LIDA framework, a customizable implementation of the LIDA model of cognition. We argue that its characteristics make it suitable for wider use in developing AGI cognitive architectures.
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References
BICA. Comparative Table of Cognitive Architectures (2011), http://bicasociety.org/cogarch/architectures.htm (cited 2011)
Franklin, S.: A Foundational Architecture for Artificial General Intelligence. In: Goertzel, B., Wang, P. (eds.) Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, Proceedings of the AGI Workshop 2006, pp. 36–54. IOS Press, Amsterdam (2007)
Singh, I., Stearns, B., Johnson, M.: Designing Enterprise Applications with the J2EE(TM) Platform, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
Walls, C., Breidenbach, R.: Spring in Action, 2nd edn. Manning Publications (2007)
Gamma, E., Helm, R., Johnson, R., Vlissides, J.M.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional, Reading (1995)
Alur, D., Crupi, J., Malks, D.: Core Java EE Patterns: Best Practices and Design Strategies, 2nd edn. Prentice Hall, Englewood Cliffs (2003)
Franklin, S., Patterson, F.G.J.: The LIDA Architecture: Adding New Modes of Learning to an Intelligent, Autonomous, Software Agent. In: IDPT-2006 Proceedings (Integrated Design and Process Technology), Society for Design and Process Science (2006)
Ramamurthy, U., Baars, B.J., D’Mello, S.K., Franklin, S.: LIDA: A Working Model of Cognition. In: 7th International Conference on Cognitive Modeling, Edizioni Goliardiche, Trieste (2006)
Baars, B.J., Franklin, S.: Consciousness is computational: The LIDA model of Global Workspace Theory. International Journal of Machine Consciousness 1(1), 23–32 (2009)
Baars, B.J.: A Cognitive Theory of Consciousness. Cambridge University Press, Cambridge (1988)
Baars, B.J.: The conscious access hypothesis: origins and recent evidence. Trends in Cognitive Science 6, 47–52 (2002)
Franklin, S. and Graesser, A.C., Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents, in Intelligent Agents III. 1997, Springer Verlag: Berlin. p. 21–35.
Baars, B.J., Franklin, S.: How conscious experience and working memory interact. Trends in Cognitive Science 7, 166–172 (2003)
Franklin, S., Baars, B.J., Ramamurthy, U., Ventura, M.: The Role of Consciousness in Memory. Brains, Minds and Media 1, 1–38 (2005)
Franklin, S.: IDA: A Conscious Artifact? Journal of Consciousness Studies 10, 47–66 (2003)
Snaider, J., McCall, R., Franklin, S.: Time Production and Representation in a Conceptual and Computational Cognitive Model. Cognitive Systems Research (in press)
Sun_Services, FJ-310-EE6 Developing Applications for the Java(TM) EE Platform, Sun Microsystems Inc., (2010)
Kanerva, P.: Sparse Distributed Memory. The MIT Press, Cambridge (1988)
Maes, P.: How to do the right thing. Connection Science 1, 291–323 (1989)
McCall, R., Franklin, S., Friedlander, D.: Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc. In: FLAIRS-23, Daytona Beach, FL (2010)
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Snaider, J., McCall, R., Franklin, S. (2011). The LIDA Framework as a General Tool for AGI. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_14
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DOI: https://doi.org/10.1007/978-3-642-22887-2_14
Publisher Name: Springer, Berlin, Heidelberg
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