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Jonathan How named AIAA Fellow  2016-02-11
MIT professor and engineer honored for significant contributions to the field of aeronautics.
Gradient descent methods in learning classifier systems  2007-04-23
Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2005) Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems. IEEE Transactions on Evolutionary Computation, 9, 452-473.
Replicating the connection between muscles and nerves  2016-08-03
New chip could help test drugs for ALS, other neuromuscular disorders.
A developmental approach to dynamic scene understanding  2007-04-22
Balkenius, C., and Johansson, B. (2006). A developmental approach to dynamic scene understanding. Proceedings of the Sixth International Conference on Epigenetic Robotics (p. 165). Lund University Cognitive Studies, 128.
Artificial whisker reveals source of harbor seal’s uncanny prey-sensing ability  2015-10-16
Study finds a whisker’s “slaloming” motion helps seals track and chase prey.
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.
Learning to select targets within targets in reaching tasks.   2008-05-15
Herbort O., Ognibene O., Butz M.V., Baldassarre G. (2007). Learning to select targets within targets in reaching tasks. The 6th IEEE International Conference on Development and Learning (ICDL2007).
The Anticipatory Nature of Representations   2007-04-15
Giovanni Pezzulo, Gianluca Baldassarre, Rino Falcone, Cristiano Castelfranchi (2006). Proceedings of the 50th Anniversary Summit of Artificial Intelligence (ASAI50).
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems  2007-10-30
Seventh International Conference on Hybrid Intelligent Systems (HIS 2007), 12-17.

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Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.