Te original LIDA model

The Original LIDA Model

    LIDA is an extension of previous conscious software named IDA (Intelligent Distribution Agent). IDA is an autonomous software agent that was developed for the US Navy to automate tasks performed by human resource personnel called detailers [1] [2]. IDA was entirely handcrafted with no learning capability. LIDA (Learning IDA) is its learning extension, capable of several forms of learning.

    The LIDA model is a comprehensive, conceptual and computational model covering a large portion of human cognition. Based primarily on global workspace theory [3], the LIDA model implements and fleshes out a number of psychological and neuropsychological theories including situated cognition [4], perceptual symbol systems [5], working memory [6], memory by affordances [7], long-term working memory [8]. Sloman ’s cognitive architecture [9], and transient episodic memory [10].

    The LIDA computational architecture, derived from the LIDA cognitive model, employs several modules that are designed using computational mechanisms drawn from the “new AI.” [11][12].

References

• 1. Franklin S. “An Autonomous Software Agent for Navy Personnel Work: a Case Study”. 2001.

  2. McCauley L., Franklin S. " A Large-Scale Multi-Agent System for Navy Personnel Distribution". Connection Science 14:371-385. 2002.

  3. Baars, B. J. “A Cognitive Theory of Consciousness.” Cambridge: Cambridge University Press. 1988.

  4. Varela A. H., Thompson E., Rosch E. "The Embodied Mind: Cognitive Science and Human Experience". Cambridge, MA: MIT Press. (1991).

  5. Barsalou L.W. "Perceptual symbol systems". Behavioral and Brain Sciences, 22, 577-609.(1999).

  6. Ericsson K. A., Kintsch W. "Long-term working memory". Psychological Review, 102, 211-245.(1995).

  7. Glenberg A. M. "What memory is for". Behavioral and Brain Sciences, 20, 1-19. (1997).

  8. Ericsson K. A., Kintsch W. "Long-term working memory". Psychological Review, 102, 211-245.(1995).

  9. Posadas, J. L., Poza, J. L., Simó, J. E., Benet , G., & Blanes, F. (2008). Agent-based distributed architecture for mobile robot control. Engineering Applications of Artificial Intelligence, 21(6), 805-823.

  10. Conway M. A. "Sensory-perceptual episodic memory and its context: Autobiographical memory". In A. Baddeley, M. Conway, & J. Aggleton (Eds.), Episodic Memory. Oxford: Oxford University Press.(2001).

  11. Eberst C., Andersson M. , Christensen H.I., Vision-based door-traversal for autonomous mobile robots”. Inst. for Real-Time Comput.-Syst., Tech. Univ. Munchen; Proc. 2000 IEEE/ RSJ International Conference on Intelligent Robots and Systems.

  12. Ericsson K. A., Kintsch W. "Long-term working memory". Psychological Review, 102, 211-245.(1995).