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A Middleware for Integrating Cognitive Architectures

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Brain Informatics and Health (BIH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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Abstract

The features of distributed systems help to solve problems in different research areas like fault tolerance, use of distributed resources, etc. The relevant cognitive architectures (CA) use middleware (distributed systems concept) to test its models and propose new theories. Thanks to a middleware, the researchers may conceive CAs as a whole, not as a set of components. However, most of the middlewares used in present CAs are modifications of generic ones, which leads to extra processing affecting the whole performance. In this research, we propose a middleware designed and developed taking into account the requirements of CAs. Our middleware allows us the integration of different cognitive functions, like memory and attention developed independently in an easily and incrementally. Also our middleware allows us test the cognitive functions integrated in the CA. To test our proposal, the middleware simulates an attention-novelty handling cognitive process.

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References

  1. Kieras, D.E., Meyer, D.E.: An overview of the epic architecture for cognition and performance with application to human-computer interaction. Hum.-Comput. Interact. 12, 391–438 (1997)

    Article  Google Scholar 

  2. Langley, P.: Cognitive architectures and general intelligent systems. AI Magazine 27, 33–44 (2006)

    Google Scholar 

  3. Coulouris, G., Dollimore, J., Kindberg, T., Blair, G.: Characterization of distributed systems. In: Distributed Systems. Concepts and Designs, 5 edn., pp. 1–36. Addison Wesley (2012)

    Google Scholar 

  4. OMG: The common object request broker: Architecture and specification. OMG Document Number 91.12.1 (1991)

    Google Scholar 

  5. Puder, A., Romer, K., Pilhofer, F.: Introduction. In: Distributed Systems Architecture A Middleware Approach, pp. 1–6. Elsevier Morgan Kaufmann Publishers (2006)

    Google Scholar 

  6. Hawes, N., Zillich, M., Wyatt, J.: Balt & cast: middleware for cognitive robotics. In: The 16th IEEE International Symposium on Robot and Human interactive Communication, RO-MAN 2007, pp. 998–1003, August 2005

    Google Scholar 

  7. Hawes, N., Wyatt, J., Sloman, A.: An architecture schema for embodied cognitive systems. School of Computer Science Research Reports-University of Birmingham CSR 12 (2006)

    Google Scholar 

  8. Metta, G., Fitzpatrick, P., Natale, L.: Yarp: Yet another robot platform. International Journal of Advanced Robotic Systems (2006)

    Google Scholar 

  9. Sandini, G., Metta, G., Vernon, D.: The iCub cognitive humanoid robot: an open-system research platform for enactive cognition. In: Lungarella, M., Iida, F., Bongard, J.C., Pfeifer, R. (eds.) 50 Years of Aritficial Intelligence. LNCS (LNAI), vol. 4850, pp. 358–369. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  10. Franklin, S., Patterson Jr, F.G.: The lida architecture adding new models of learning to an intelligent, autonomous software agent. Integrated Design and Process Technology 703, 764–1004 (2006)

    Google Scholar 

  11. Torres, G., Jaime, K., Ramos, F.: Brain architecture for visual object identification. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 7(1), 75–97 (2013)

    Article  Google Scholar 

  12. Coulouris, G., Dollimore, J., Kindberg, T., Blair, G.: System models. In: Distributed Systems. Concepts and Designs, 5 edn., pp. 37–80 Addison Wesley (2012)

    Google Scholar 

  13. Jaime, K., Torres, G., Ramos, F., Garcia, G.: A proposed model for visual memory identification. In: 2012 IEEE 11th International Conference on Cognitive Informatics Cognitive Computing (ICCI*CC), pp. 35–42, August 2012

    Google Scholar 

  14. Tanenbaum, A.S., Steen, M.V.: Processes. In: Distributed Systems Principles and Paradigms, 2nd edn., pp. 69–114. Pearson Prentice Hal (2007)

    Google Scholar 

  15. Siegelbaum, S.A., Kandel, E.R.: Overview of synaptic transmission. number 8. In: Principles of Neural Science, 5th edn., pp. 177–188. Mc Graw Hill Medical (2013)

    Google Scholar 

  16. Ávila-Contreras, C., Medina, O., Jaime, K., Ramos, F.: An agent cognitive model for visual attention and response to novelty. In: Jezic, G., Kusek, M., Lovrek, I., J. Howlett, R., C. Jain, L. (eds.) Agent and Multi-Agent Systems: Technologies and Applications. AISC, vol. 296, pp. 27–36. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  17. Yamaguchi, S., Hale, L.A., D’Esposito, M., Knight, R.T.: Rapid prefrontal-hippocampal habituation to novel events. The Journal of Neuroscience 24, 5356–5363 (2004)

    Article  Google Scholar 

  18. Jaime, A.K.: Modelo de memoria semantica para crituaturas virtuales basado en neurociencias. Master’s thesis, CINVESTAV del IPN Unidad Guadalajara, Zapopan, Jalisco, August 2011

    Google Scholar 

  19. Torres, G.A.: Metodología para el desarrollo de arquitecturas cognitivas basada en neurociencias. PhD thesis, CINVESTAV del IPN Unidad Guadalajara, Zapopan, Jalisco, Octubre 2013

    Google Scholar 

  20. Rosales, J.H., Jaime, K., Ramos, F., Ramos, M.: An emotional regulation model with memories for virtual agents. In: IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), pp. 260–267, July 2013

    Google Scholar 

  21. Rosales, J.H.: Sistema de regulacion emociones para criaturas virtuales. Master’s thesis, CINVESTAV del IPN Unidad Guadalajara, Zapopan, Jalisco, August 2013

    Google Scholar 

  22. Avila-Contreras, C.: Arquitectura cognitiva de atencion selectiva bimodal: vision y somatosensacion. Master’s thesis, CINVESTAV del IPN Unidad Guadalajara, Zapopan, Jalisco, August 2014

    Google Scholar 

  23. Medina, O., Vargas, S., Madrigal, D., Ramos, F., Torres, G.: A bio-inspired architecture of the vestibular system for body balance of a humanoid robot. In: 2014 IEEE 13th International Conference on Cognitive Informatics Cognitive Computing (ICCI*CC), pp. 73–79 (2014)

    Google Scholar 

  24. Medina, O.D.: Sistema de memoria no declarativa para criaturas virtuales: Aprendizaje no asociativo. Master’s thesis, CINVESTAV del IPN Unidad Guadalajara, Zapopan, Jalisco, August 2014

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Cinvestav Unidad Guadalajara, Zapopan, Mexico

    Karina Jaime, Armando Cervantes, Ory Medina, Felix Ramos & Jonathan-Hernando Rosales

  2. Department of Computer Science, Universidad Autonoma de Guadalajara, Zapopan, Mexico

    Gustavo Torres

  3. Department of Computer Science, Universidad Autonoma del Estado de Mexico, Toluca, Mexico

    Marco Ramos

Authors
  1. Karina Jaime
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  2. Armando Cervantes
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  3. Ory Medina
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  4. Felix Ramos
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  5. Jonathan-Hernando Rosales
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  6. Gustavo Torres
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  7. Marco Ramos
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Corresponding author

Correspondence to Karina Jaime .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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Jaime, K. et al. (2015). A Middleware for Integrating Cognitive Architectures. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_42

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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