MindRACES

Skip to content
You are here: Home » search
Sections
Personal tools
 

Search results

25 items matching your criteria. RSS Feed
Modeling Expectations in Cognitive Agents
Lorini, E., Falcone, R. (2005); In Proceedings of AAAI 2005 Fall Symposium-From Reactive to Anticipatory Cognitive Embodied Systems, Arlington, Virginia, USA, ...
Establishing Mutual Beliefs by Joint Attention: towards a Formal Model of Public Events.
Lorini E., Tummolini L., Herzig A. (2005); In Bruno G. Bara, Lawrence Barsalou, & Monica Bucciarelli, Proceedings of the XXVII Annual Conference of the ...
Modeling Top-Down Perception and Analogical Transfer with Single Anticipatory Mechanism.
Georgi Petkov, Kiril Kiryazov, Maurice Grinberg, Boicho Kokinov (2007); Proceedings of the Second European Cognitive Science Conference, Greece
Hyper-ellipsoidal conditions in XCS
Butz, M.V., Lanzi, P. L., Wilson, S. W. (2006). Hyper-ellipsoidal conditions in XCS: Rotation, linear approximation, and solution structure. Proceedings of the ...
Studying XCS/BOA learning in Boolean functions
Butz, M.V., & Pelikan, M. (2006). Studying XCS/BOA learning in Boolean functions: Structure encoding and random boolean functions. Proceedings of the Genetic ...
It's a Child's Game - Investigating Cognitive Development with Playing Robots
Johansson, B., and Balkenius, C. (2005). It's a Child's Game: Investigating Cognitive Development with Playing Robots. Proceedings of the International ...
Event Prediction and Object Motion Estimation in the Development of Visual Attention
Balkenius, C., and Johansson, B. (2005). Event Prediction and Object Motion Estimation in the Development of Visual Attention. Proceedings of the Fifth ...
A developmental approach to dynamic scene understanding
Balkenius, C., and Johansson, B. (2006). A developmental approach to dynamic scene understanding. Proceedings of the Sixth International Conference on ...
A developmental approach to dynamic scene understanding
Balkenius, C., and Johansson, B. (2006). A developmental approach to dynamic scene understanding. Proceedings of the Sixth International Conference on ...
The benefits of anticipation
Johansson, B. and Balkenius, C. (2006). The benefits of anticipation: an experimental study. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G. (Eds.), ...
DiPRA Distributed Practical Reasoning Architecture
(2007) Proceedings of IJCAI 2007
A Schema Based Model of the Praying Mantis
(2006) From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour
Surprise-Driven Belief Revision
Lorini, E., Castelfranchi, C. (2006); In Proceedings of Second Biennial Conference on Cognitive Science, St. Petersburg, 9-13 June, 2006.
Building Robots with Analogy-Based Anticipation
Petkov, G., Naydenov, Ch., Grinberg, M., Kokinov(2006); Proceedings of the KI 2006, 29th German Conference on Artificial Intelligence, Bremen
A Model of Reaching That Integrates Reinforcement Learning and Population Encoding of Postures
Ognibene, Dimitri and Rega, Angelo and Baldassarre, Gianluca From Animals to Animats 9, 9th International Conference on Simulation of Adaptive Behavior, SAB ...
Integrating Reinforcement-Learning, Accumulator Models, and Motor-Primitives to Study Action Selection and Reaching in Monkeys
Ognibene, D. and Mannella, F. and Pezzulo, G. and Baldassarre, G. Proceedings of ICCM 2006
Expectations driven approach for Situated, Goal-directed Agents
In proceedings of AI*IA/TABOO Joint Workshop (WOA 2007). Genova, Italy. 2007
Developing anticipatory and affective competences in multi agent systems
C. Castelfranchi, R. Falcone and M. Piunti. In Proceedings of International Workshop on Multi-agent Systems and Simulation (ISC 2006), Palermo, Italy., 2006.
Rappresentazioni Anticipatorie: Tre Studi Simulativi
Giovanni Pezzulo (2006) Proceedings del 3° Convegno Nazionale di Scienze Cognitive (AISC 2006).
The Anticipatory Nature of Representations
Giovanni Pezzulo, Gianluca Baldassarre, Rino Falcone, Cristiano Castelfranchi (2006). Proceedings of the 50th Anniversary Summit of Artificial Intelligence ...
How Can a Massively Modular Mind Be Context-Sensitive? A Computational Approach
Giovanni Pezzulo (2006). Proceedings of 7th International Conference on Cognitive Modeling (ICCM 2006).
L’approccio Anticipatorio In Robotica: Una Analisi Comparativa
Gianguglielmo Calvi, Alessandro Tutino, Giovanni Pezzulo (2006). Proceedings del Workshop Italiano di Vita Artificiale (WIVA 2006).
DiPRA: Distributed Practical Reasoning Architecture
Giovanni Pezzulo, Gianguglielmo Calvi and Cristiano Castelfranchi (in press). Proceedings of the 28 International Joint Conference on Artificial Intelligence ...
Toward a Perceptual Symbol System
G.Pezzulo, G. Calvi – Proceedings of the Sixth International Conference on Epigenetic Robotics (EPIROB 2006). http://www.csl.sony.fr/epirob2006/index.htm
An Analysis of the Ideomotor Principle and TOTE
Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, and Joachim Hoffmann (2006). In Butz M.V., Sigaud O., Pezzulo G., Baldassarre ...
     News Channel     
Project News
MindRACES site update
2008-05-15
MindRACES Last Review Meeting
2007-11-19
Cognitive Science News
 
2008-05-15
Effect of pure error-based fitness in XCS 
2007-10-30
Improving the performance of Pittsburgh learning classifier systems using a default rule 
2007-10-30
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems 
2007-10-30
Anticipatory Behaviour based on Prediction of Image Sequences 
2007-06-01
An Analysis of the Ideomotor Principle and TOTE 
2007-04-15
From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE 
2007-04-15
Rappresentazioni Anticipatorie: Tre Studi Simulativi  
2007-04-15
A Model of Reaching That Integrates Reinforcement Learning and Population Encoding of Postures 
2007-03-15
 
 
Powered by Plone

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.