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Part of the book series: Cognitive Systems Monographs ((COSMOS,volume 21))

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Abstract

This Chapter describes a number of different scenarios and related experiments envisaged according to the various design principles for cognitive architectures. The primary approach taken into consideration was the biologically driven one, so the scenarios have been prepared at the aim to demonstrate how efficiently the insect brain computational model built succeeds in reproducing and enhancing the insect capabilities already addressed in Neurobiology.

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References

  1. B.S. Minnery, S.T. Mueller, M. Jones, The bica cognitive decathlon: a test suite for biologically-inspired cognitive agents, in Internal Report (2007).

    Google Scholar 

  2. L.N. Long, S.D. Hanford, Evaluating cognitive architectures for intelligent and autonomous unmanned vehicles, in AAAI Workshop (2007).

    Google Scholar 

  3. P. Arena, L. Patané, P.S. Termini, A. Vitanza, and R. Strauss, Software/hardware issues in modelling insect brain architecture, in 4th International Conference on Intelligent Robotics and Applications (ICIRA) (2011).

    Google Scholar 

  4. P. Arena, M. Cosentino, L. Patané, A. Vitanza. Sparkrs4cs: a software/hardware framework for cognitive architectures, in 5th SPIE’s International Symposium on Microtechnologies, pp. 1–12 (2011).

    Google Scholar 

  5. P. Arena, L. Patané, M. Pollino, C. Ventura. Tribot: a hybrid robot for cognitive algorithm implementation. in 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2010), pp. 1–6 (2010).

    Google Scholar 

  6. K. Neuser, T. Triphan, M. Mronz, B. Poeck, R. Strauss, Analysis of a spatial orientation memory in drosophila. Nature 453, 1244–1247 (2008)

    Article  Google Scholar 

  7. G. Liu, H. Seiler, A. Wen, T. Zars, K. Ito, R. Wolf, M. Heisenberg, L. Liu, Distinct memory traces for two visual features in the drosophila brain. Nature 439, 551–556 (2006)

    Article  Google Scholar 

  8. R. Ernst, M. Heisenberg, The memory template in drosophila pattern vision at the flight simulator. Vision Res. 39, 3920–3933 (1999)

    Article  Google Scholar 

  9. S. Tang, A. Guo, Choice behavior of drosophila facing contradictory visual cues. Science 294, 1543–1547 (1999)

    Article  Google Scholar 

  10. L. Liu, R. Wolf, R. Ernst, M. Heisenberg, Context generalization in Drosophila visual learning requires the mushroom bodies. Nature 400, 753–756 (1999)

    Article  Google Scholar 

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Correspondence to L. Patanè .

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Arena, P., Patanè, L. (2014). Experimental Scenarios. In: Arena, P., Patanè, L. (eds) Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II. Cognitive Systems Monographs, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-02362-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-02362-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02361-8

  • Online ISBN: 978-3-319-02362-5

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