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Adaptation in natural and artificial systems
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Guarantees for autonomy in cognitive agent architecture
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AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
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IEEE Transactions on Computers
Evaluating multi-agent system architectures: a case study concerning dynamic resource allocation
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Dynamic computation and context effects in the hybrid architecture AKIRA
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
A schema based model of the praying mantis
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
Schema-Based Design and the AKIRA Schema Language: An Overview
Anticipatory Behavior in Adaptive Learning Systems
Modulatory Influence of Motivations on a Schema-Based Architecture: A Simulative Study
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
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Advanced Engineering Informatics
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PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
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AKIRA is an open source framework designed for parallel, asynchronous and distributed computation, on the basis of some general architectural principles which are inspired by modular organization in biological systems. We introduce the motivation behind its design, the components of the framework and some examples of use: 1) a case study in a simple number domain, in which its capabilities such as context sensitiveness are highlighted; 2) an architecture for visual search tasks, in which a goal oriented behavior emerges from the cooperation and competition of many feature-specific modules, organized hierarchically; 3) a schema-based agent architecture, inspired by an ethological model of the praying mantis, including drives, schemas, routines and realizing visual and motor behavior in a realistic simulated environment.