The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
ACM Computing Surveys (CSUR)
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Agents Swarming in Semantic Spaces to Corroborate Hypotheses
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Global convergence of local agent behaviors
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Model-guided information discovery for intelligence analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Pheromone learning for self-organizing agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Agent-Based Knowledge Discovery for Modeling & Simulation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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Information processing operations in support of intelligence analysis are of two kinds. They may sift relevant data from a larger body, thus reducing its quantity, or sort that data, thus reducing its entropy. These two classes of operation typically alternate with one another, successively shrinking and organizing the available data to make it more accessible and understandable. We term the resulting construct, the “semantic pyramid.” We sketch the general structure of this construct, and illustrate two adjacent layers of it that we have implemented in the Ant CAFÉ.