Distributed Artificial Intelligence
Distributed Artificial Intelligence
The cooperation of experts in engineering design
Distributed artificial intelligence: vol. 2
The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Cooperation in industrial multi-agent systems
Cooperation in industrial multi-agent systems
Coordinating Plans of Autonomous Agents
Coordinating Plans of Autonomous Agents
Resource Allocation in Distributed Factory Scheduling
IEEE Expert: Intelligent Systems and Their Applications
Automating Workflows for Service Order Processing: Integrating AI and Database Technologies
IEEE Expert: Intelligent Systems and Their Applications
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
A Practitioners' Review of Industrial Agent Applications
Autonomous Agents and Multi-Agent Systems
Agents in E-commerce: state of the art
Knowledge and Information Systems
A cooperative problem-solving process in hierarchical organization
Proceedings of the 2007 Summer Computer Simulation Conference
Cooperative information sharing to improve distributed learning in multi-agent systems
Journal of Artificial Intelligence Research
Agent-based computing: promise and perils
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents
Advances in Software Engineering
Towards secure agent computing for ubiquitous computing and ambient intelligence
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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Most work done in distributed artificial intelligence (DAI) had targeted sensory networks, including air traffic control, urban traffic control, and robotic systems. The main reason is that these applications necessitate distributed interpretation and distributed planning by means of intelligent sensors. Planning includes not only the activities to be undertaken, but also the use of material and cognitive resources to accomplish interpretation tasks and planning tasks. These application areas are also characterized by a natural distribution of sensors and receivers in space. In other words, the sensory data-interpretation tasks and action planning are inter-dependent in time and space. For example, in air traffic control, a plan for guiding an aircraft must be coordinated with the plans of other nearby aircraft to avoid collisions.