Agentis is a framework for building interactive multiagent applications which is based upon a model of agent interaction whose key elements are services and tasks. Central to the ...
This paper explores the increasing the heterogeneity of an agent population to stabilize decentralized systems by adding bias terms to each agent's expected payoffs. Two appr...
In this paper, we discuss two major tradeoffs, spatial and temporal tradeoffs, that appear when applying marketbased computing to multimedia network applications. The former appea...
We have been developing an approach for the distributed coordination of heterogeneous, autonomous agents. This approach takes as input (a) agent skeletons, giving compact descript...
This paper examines the issue of developing semantics for agent communication languages. In particular, it considers the problem of giving a verifiable semantics for such language...
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
Multi-agent systems are subject to performance bottlenecks in cases where agents cannot perform tasks by themselves due to insufficient resources. Solutions to such problems inclu...
Onn Shehory, Katia P. Sycara, Prasad Chalasani, So...
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to solve problems in networks. The paper introduces a new architectural description for ...
We present a decentralized, asynchronous market protocol for allocating and scheduling tasks among agents that contend for scarce resources, constrained by a hierarchical task dep...