Book Chapter10.1007/978-1-4615-0389-7_5
Collaborative Multiagent Based Information Infrastructure for Transportation Problem Solving
Goutam Satapathy,Soundar R. T. Kumara +1 more
- 01 Jan 2003
- pp 161-191
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TL;DR: This chapter presents a multiagent computational approach to solve a procurement problem that falls under the supply chain domain and defines the interactions between the agents and model the interactions using Knowledge Query and Manipulation Language (KQML) based syntax and semantics.
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Abstract: In this chapter, we present a multiagent computational approach to solve a procurement problem that falls under the supply chain domain. In this approach we model each transportation company as consisting of a master and several slaves. A master represents the task negotiator and task allocator for a company. A slave represents a vehicle to whom the tasks are allocated by its master. We consider a transportation problem containing several stochastic parameters for real-time decision making. Each master and slave is modeled using BDI (Belief-Desire-Intention) logical model of an agent. The emphasis in this paper is on the information infrastructure for information exchange between the agents. We define the interactions between the agents and model the interactions using Knowledge Query and Manipulation Language (KQML) based syntax and semantics.
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Citations
Decision strategies and design of agent interactions in hierarchical manufacturing systems
Christian Wernz,Abhijit Deshmukh +1 more
TL;DR: In this article, a stochastic model with two decision makers (agents) and analysis their strategic interaction using game theory was developed to investigate the degree and fidelity of information necessary for optimal decision making.
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Birgit Burmeister,Afsaneh Haddadi,Guido Matylis +2 more
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TL;DR: An overview of a diverse range of applications where multi-agent systems promise to create a great impact in this domain is given and two applications under development at Daimler-Benz Research are described in some detail.
221
Cooperative transportation scheduling : an application domain for dai
TL;DR: It is demonstrated that the auction mechanism used for schedule optimisation can also be used for implementing dynamic replanning, and it is argued why Distributed Artificial Intelligence (DAI) offers suitable tools to deal with the hard problems in this domain.
Hybrid control in air traffic management systems
S. Shankar Sastry,Gerard G. L. Meyer,Claire J. Tomlin,John Lygeros,Datta N. Godbole,George J. Pappas +5 more
- 13 Dec 1995
TL;DR: In this paper, a new collaborative project involving the University of California, Berkeley, NASA Ames Research Center, and Honeywell Systems Research Center has begun the study of hierarchical, hybrid control systems in the framework of air traffic management systems (ATMS).
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