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- W26496507 abstract "and to use resources at that node. At EMAA's core lies a Dock that provides an execution environment for agents, handles incoming and outgoing agent transfers, and controls agent access to services. EMAA allows users to define agents, services, and events. Under the EMAA framework, agents are built from small, easily reused tasks that combine to meet a userOs goal. An agent's tasks are structured within an itinerary. Agents may be mobile, and typically use stationary services. Services may implement connections to external systems (e.g., databases or legacy applications), provide complex functionality, or carry out other functions, but they are not primary actors. Goal-oriented and directed activity is generally held to be the function of agents. Both agents and services may send and receive events. In the following subsections we discuss two EMAA features which support robust agent operation under undesirable conditions. Itineraries. EMAA itineraries are composed of states (each of which may contain one or more tasks) and transitions between states; they are structured as finite state machines. An EMAA agent contains internal memory that encodes data dependencies among tasks: the output of one task may be used as input to another task, etc. Itineraries employ some decision logic to determine whether and where to execute states. Some states must be executed on a specific machine, and others must be executed on any machine where the resources needed to support execution of the encapsulated task (or tasks) exist. Reliable Event Messaging. To address the need for remote control and execution monitoring of mobile agents, ATL developed the Event Transceiver Server (ETS), an event handler residing on each dock with registered listeners for agents. The ETS provides reliable event messaging for mobile objects, both sending and receiving. It is invaluable for remotely or locally controlling, monitoring, and retasking agents. DAIS: A Case Study and Problem Illustration" @default.
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- W26496507 date "2000-01-01" @default.
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- W26496507 title "Using Autonomous Agents to Improve Efficiency and Robustness in Slow, Unreliable Networks" @default.
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