Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
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Knowledge acquisition and sharing are arguably the most critical activities of communicating agents. We report about our on-going project featuring knowledge acquisition and sharing among communicating agents embedded in a network [7,8]. The applications we target range from hardware robots to virtual entities such as internet agents. Agent experiments can be simulated using a convenient simulation language. We analyzed the complexity of communicating agent simulations using Java and Easel [2]. Scenarios we have studied (see also our previous work [6]) are listed below. The communication among agents can range from declarative queries to sub-natural language queries. A set of agents monitoring an object are asked to build activity profiles based on exchanging elementary observations. A set of car drivers form a line, where every car is following its predecessor. An unsafe distance can create a strong wave in the line. Individual agents are asked to incorporate and apply directions how to avoid the wave. A set of micro-air vehicles form a grid and are asked to propagate information and concepts to a central server.