- Surprise as shortcut for Anticipation: clustering Mental States in Reasoning 2006-12-06
To enhance effectiveness in real world applications,
autonomous agents have to develop cognitive competencies
and anticipatory capabilities. Here we
point out their strong liaison with the functional
roles of affective mental states as those of humanlike
metaphor: not only the root elements for both
surprise and anticipation are expectations, but also
part of the effects of the former elicit efforts on the
latter. By analyzing different kinds of expectations,
we provide a general architecture enhancing practical
reasoning with mental states, describing and
empirically evaluating how mental and behavioral
attitudes, emerging from mental states, can be applied
for augmenting agent reactivity, opportunism
and efficacy in terms of anticipation.
- Brain waves reflect different types of learning 2017-10-11
- For the first time, researchers have identified neural signatures of explicit and implicit learning.
- Robots with Anticipation and Attention 2007-04-22
Johansson, B., and Balkenius, C. (2005). Robots with Anticipation and Attention. In Funk, P. , Rognvaldsson, T., and Xiong, N. (Eds.) Advances in Artificial Intelligence in Sweden (pp. 202-204). Västerås, Sweden: Mälardalen University.
- Enabling human-robot rescue teams 2016-02-17
- System could help prevent robots from overwhelming human teammates with information.
- Making better decisions when outcomes are uncertain 2017-03-21
- A simple statistical trick could help make a ubiquitous model of decision processes more accurate.
- Researchers identify genome-modifying enzyme linked to Rett Syndrome 2016-07-22
- Deletion of the HDAC3 gene in the brains of mice causes cognitive and social impairments consistent with Rett Syndrome.
- The benefits of anticipation 2007-04-22
Johansson, B. and Balkenius, C. (2006). The benefits of anticipation: an experimental study. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G. (Eds.), Proceedings of third workshop on anticipatory behavior in adaptive learning systems (ABiALS), Rome.
- Robotic consensus 2016-04-21
- Control algorithm for teams of robots factors in moving obstacles.