Knowledge-directed Adaptation in Multi-level Agents
Journal of Intelligent Information Systems - Special issue: adaptive intelligent agents
Machine Learning
An architecture for emotional decision-making agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making
Applied Intelligence
Dialogue Modelling for a Conversational Agent
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Crowd simulation for interactive virtual environments and VR training systems
Proceedings of the Eurographic workshop on Computer animation and simulation
The development of cortical models to enable neural-based cognitive architectures
Computational models for neuroscience
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Proceedings of the 35th conference on Winter simulation: driving innovation
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Towards an intelligent database system founded on the SP theory of computing and cognition
Data & Knowledge Engineering
A hybrid system of abductive tactical decision making
International Journal of Hybrid Intelligent Systems
Knowledge-based Multiagent Coordination
Presence: Teleoperators and Virtual Environments
Autonomous Agents and Multi-Agent Systems
The importance of cognitive architectures: an analysis based on CLARION
Journal of Experimental & Theoretical Artificial Intelligence
A flexible plan step execution model for BDI agents
Multiagent and Grid Systems - Innovations in intelligent agent technology
Extending the Soar Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Essential Phenomena of General Intelligence
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
The marchitecture: a cognitive architecture for a robot baby
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
A layered brain architecture for synthetic creatures
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Hybridization of cognitive models using evolutionary strategies
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A framework for automatic simulated accessibility assessment in virtual environments
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
Self-organized and evolvable cognitive architecture for intelligent agents and multi-agent systems
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Emotions in autonomous agents: comparative analysis of mechanisms and functions
Autonomous Agents and Multi-Agent Systems
Top-down versus bottom-up learning in cognitive skill acquisition
Cognitive Systems Research
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From the Publisher:Soar is a state-of-the art computational theory of the mind that has had a significant impact in both artificial intelligence and cognitive science. Begun by John E. Laird, Allen Newell, and Paul S. Rosenbloom at Carnegie Mellon in the early 1980s, the Soar Project is an investigation into the architecture underlying intelligent behavior with the goal of developing and applying a unified theory of natural and artificial intelligence. The Soar Papers - sixty-three articles in all - provide in one place the important ideas that have emerged from this project. The book is organized chronologically, with an introduction that provides multiple organizations according to major topics. Readers interested in the entire effort can read the articles in publication order, while readers interested only in a specific topic can go directly to a logical sequence of papers to read on that topic. Paul S. Rosenbloom is Associate Professor of Computer Science at the Information Sciences Institute. John E. Laird is Associate Professor of Electrical Engineering and Computer Science at the University of Michigan. The late Allen Newell was U.A. and Helen Whitaker University Professor of Computer Science at Carnegie Mellon University. Major topics include: The direct precursors of Soar, the Soar architecture, implementation issues, intelligent capabilities (such as problem solving and planning, learning, and external interaction), domains of application, psychological modeling, perspectives on Soar, and using Soar.