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ECAI
1994
Springer
15 years 11 months ago
Exploiting Causal Domain Knowledge for Learning to Control Dynamic Systems
This paper introduces a simple yete ective method for using causal domain knowledge for learning to control dynamic systems. Elementary qualitative causal dependencies of the domai...
Achim G. Hoffmann
ECAI
2006
Springer
15 years 10 months ago
Verifying Interlevel Relations Within Multi-Agent Systems
An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of...
Alexei Sharpanskykh, Jan Treur
FLAIRS
2006
15 years 8 months ago
Incremental Parsing for Real-time Accompaniment Systems
The incremental parsing (IP) algorithm has been successfully used in real-time applications, due to its efficiency in modeling musical style. For example, musical systems using IP...
Giordano Ribeiro de Eulalio Cabral, Jean-Pierre Br...
AI
2007
Springer
15 years 6 months ago
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Søren Holbech Nielsen, Simon Parsons
ICARIS
2010
Springer
15 years 5 months ago
A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems
Abstract. This paper presents a high level dynamic task allocation algorithm that is inspired by the biological development process and the immune system. For a microprocessor (µP...
Yang Liu, Jon Timmis, Omer Qadir, Gianluca Tempest...