Real-Time Interaction course

CSIM Master, 2016-2017

You will find on this page all the material related to the Real-Time Interaction course.

General information about the course

  • Course presentation document
  • Evaluation process
  • The slides of the theoretical sessions are provided in two formats
    • An interactive web version (the same as in class). It is recommended to open it in Mozilla Firefox (some graphic problems have been observed when using Chrome). Note that it doesn’t directly embbed the videos, they are replaced by clickable links instead.
    • A PDF version, to be used if you have trouble with the web version or if you want to store the document on your own computer in a more standard way.
  • The instructions for the practical sessions are available on Github. Those instructions are adapted for the classroom computers, but everything can in theory be installed on your own machines (ask if needed).
  • You will find guidelines for realizing the practical project here.

Week 1: Introduction to RTI (Theoretical Class 1)

  • Link to the slides: [Interactive web version]. [PDF version].
    • It is recommended to read the interactive web version in Mozilla Firefox (some display problems observed when using Chrome). Note that it doesn’t directly embbed the videos, they are replaced by clickable links instead.
    • If you prefer storing the document on your own computer in a more standard way, use the PDF version above.
  • Related bibliography
    • Braitenberg, V. (1986). Vehicles: Experiments in synthetic psychology. MIT press.

Week 2: First steps with the robotic simulator (Practical Class 1)

  • Link to the instructions we used in class
  • I’m in touch with UPF so that we can have everything already installed in the classroom, in order to avoid having to repeat all the downloads at each session. I’ll let you know when it is done.
  • All the software components are cross-platform, so you can in theory install everything on your own computer whatever your OS is. You will have to install:
  • Notebook of the practical session

Week 3: Top-down and Bottom-up Cognitive Architectures (Theoretical Class 2)

  • Link to the slides: [Interactive web version]. [PDF version].

  • Related bibliography

    • Marr, D. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. Phenomenology and the Cognitive Sciences, 8(4), 397. https://doi.org/10.1007/s11097-009-9141-7
    • Taatgen, N., & Anderson, J. R. (2010). The Past, Present, and Future of Cognitive Architectures. Topics in Cognitive Science, 2(4), 693–704. https://doi.org/10.1111/j.1756-8765.2009.01063.x
    • Newell, A. (1990). Unified theories of cognition. Harvard University Press.
    • Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111(4), 1036–1060. https://doi.org/10.1037/0033-295X.111.4.1036
    • Wilson, A. D., & Golonka, S. (2013). Embodied Cognition is Not What you Think it is. Frontiers in Psychology, 4(February), 58. https://doi.org/10.3389/fpsyg.2013.00058
    • O’Regan, J. K. (2011). Why red doesn’t sound like a bell: Understanding the feel of consciousness. Oxford University Press.
    • Brooks, R. A. (1991). Intelligence without representation. In Artificial Intelligence (Vol. 47, Numbers 1-3, pp. 139–159). https://doi.org/10.1016/0004-3702(91)90053-M

Week 4: Programming behaviors (Practical Class 2)

Week 5: Combining behaviors (Practical Class 3)

Week 6: From Homeostasis to Allostasis (Theoretical Class 3)

Link to the slides: [Interactive web version]. [PDF version].

  • Related bibliography
    • Sterling, P. (2012). Allostasis: a model of predictive regulation. Physiology & Behavior, 106(1), 5–15.
    • Schulkin, J., McEwen, B. S., & Gold, P. W. (1994). Allostasis, amygdala, and anticipatory angst. Neuroscience & Biobehavioral Reviews, 18(3), 385–396.
    • Sanchez-Fibla, M., Bernardet, U., Wasserman, E., Pelc, T., Mintz, M., Jackson, J. C., Lansink, C., Pennartz, C., & Verschure, P. F. M. J. (2010). Allostatic control for robot behavior regulation: a comparative rodent-robot study. Advances in Complex Systems, 13(03), 377–403.
    • Herreros, I., & Verschure, P. F. M. J. (2013). Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control. Neural Networks, 47, 64–71.
    • Vouloutsi, V., Lallée, S., & Verschure, P. (2013). Modulating behaviors using allostatic control. In N. F. Lepora, A. Mura, H. G. Krapp, P. F. M. J. Verschure, & T. J. Prescott (Eds.), Biomimetic and Biohybrid Systems: Vol. 287–298. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39802-5
    • Lallée, S., Vouloutsi, V., Blancas, M., Grechuta, K., Puigbo, J.-ysard, Sarda, M., & Verschure, P. F. M. J. (2015). Towards the synthetic self: making others perceive me as an other. Paladyn Journal of Behavioral Robotics, SE On Assistive Robotics. https://doi.org/10.1515/pjbr-2015-0010