KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
From interoperability to cooperation: building intelligent agents on middleware
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Coarse grain reconfigurable architecture (embedded tutorial)
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Sensor and Data Fusion Concepts and Applications
Sensor and Data Fusion Concepts and Applications
Software Agents for Future Communication Systems
Software Agents for Future Communication Systems
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
IEEE Internet Computing
Applying the multi-agent paradigm to reconfigurable hardware: a sensor fusion example
Second international workshop on Intelligent systems design and application
JHDL - An HDL for Reconfigurable Systems
FCCM '98 Proceedings of the IEEE Symposium on FPGAs for Custom Computing Machines
Reconfigurable Computing at Xilinx
DSD '01 Proceedings of the Euromicro Symposium on Digital Systems Design
Modelling Adaptive Systems in ForSyDe
Electronic Notes in Theoretical Computer Science (ENTCS)
Embedding Dynamic Behaviour into a Self-configuring Software System
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Journal of Systems Architecture: the EUROMICRO Journal
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This paper describes how the multi-agent paradigm that is so prevalent in today's distributed reactive software systems can be extended to operate in a dynamically adaptable embedded system environment. In this model, both reconfigurable hardware and the embedded system software design space can be partitioned into autonomous units of execution that are called agents, where each agent has the capacity to interact with the environment and other agents in an intelligent manner. The incorporation of agents that reside in reconfigurable hardware makes it possible to create an intelligent system that exploits the speed advantages associated with reconfigurable hardware within the framework of a unified system model that spans the entire hardware/software continuum. In addition to dynamic adaptability, this approach has the potential to greatly facilitate the flexibility, efficiency, fault tolerance, scalability, and reliability of embedded systems. This paper highlights agent-based reconfigurable embedded systems, and illustrates how they can he applied to a real-time sensor fusion type application using a conventional hardware description language.