Name
Abstract | ||
|---|---|---|
We propose and show a parallel and distributed runtime environment for multi-agent systems that provides spatial agent migration ability by employing code morphing. The focus of the application scenario lies on sensor networks and low-power, resource-aware single System-On-Chip designs. An agent approach provides stronger autonomy than a traditional object or remote-procedure-call based approach. Agents can decide for themselves which actions are performed, and they are capable of reacting on the environment and other agents with flexible behaviour. Data processing nodes exchange code rather than data to transfer information. A part of the state of an agent is preserved within its own program code, which also implements the agent's migration functionality. The practicability of the approach is shown using a simple distributed Sobel filter as an example. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-29350-4_50 | ICAISC (2) |
Keywords | Field | DocType |
nodes exchange code,multi-agent system,migration functionality,agent approach,runtime environment,sensor network,spatial agent migration ability,flexible behaviour,own program code,application scenario,sobel filter,code morphing | Program code,Data processing,Computer science,Mobile agent,Multi-agent system,Sobel operator,Artificial intelligence,Wireless sensor network,Machine learning,Code morphing,Distributed computing | Conference |
Volume | ISSN | Citations |
7268 | 0302-9743 | 1 |
PageRank | References | Authors |
0.43 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Bosse | 1 | 32 | 5.14 |
| Florian Pantke | 2 | 5 | 1.22 |
| Frank Kirchner | 3 | 115 | 19.41 |