Scientific research and practice in multiagent systems focuses on constructing
computational frameworks, principles, and models for how both small and large societies of …

Advances in sensor technology and computer networks have enabled distributed sensor
networks (DSNs) to evolve from small clusters of large sensors to large swarms of micro …

In Retsina, the authors have developed a distributed collection of software agents that
cooperate asynchronously to perform goal-directed information retrieval and integration for …

We describe the use of the mobile agent paradigm to design an improved infrastructure for
data integration in a distributed sensor network (DSN). We use the acronym MADSN to …

Generalized Partial Global Planning (GPGP) and its associated TÆMS hierarchical task
network representation were developed as a domain-independent framework for …

We are investigating techniques for develo** distributed and adaptive collections of
information agents that coordinate to retrieve, filter and fuse information relevant to the user …

Agent technology has recently become one of the most vibrant and fastest growing areas in
information technology. Within this booming area, intelligent information agents are …

One of the most important problems studied in any sensor network is data fusion.
Client/server paradigm has been a commonly used computing model in traditional …

The development of enabling infrastructure for the next generation of multi-agent systems
consisting of large numbers of agents and operating in open environments is one of the key …

The vision of researchers to create smart environments through the deployment of
thousands of sensors, each with a short range wireless communications channel and …