Negotiating task decomposition and allocation using partial global planning
Distributed Artificial Intelligence (Vol. 2)
Planning in distributed artificial intelligence
Foundations of distributed artificial intelligence
JADE: A software framework for developing multi-agent applications. Lessons learned
Information and Software Technology
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This paper documents the case to address the distributed data storage and widely used unique identifiers which are in use from the beginning of databases and backend systems. The importance of uniqueness for object system identifiers is crucial for efficient data retrieval, storage and comparison. We are representing the new method for objects tagging using synergy mechanism between well known Geohash algorithm and Universally Unique Identifiers we call GHUUID (Geohash+UUID) gaining the agent system spatio-temporal identification of all data available. Multi-Agent systems in their nature strongly rely upon distributed databases across vast amount of data. Some of the interoperability issues are solved with usage of semantic web principles which can be cumbersome to implement and maintain. Most systems need the basic space-time correlation which can be the corner stone for the efficient analysis and data aligning regardless of objects stored and their nature.