Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
An Architectural Overview of QNX
Proceedings of the Workshop on Micro-kernels and Other Kernel Architectures
Dynamic Subsumption Architecture for Programming Intelligent Agents
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
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The task at hand is the design and implementation of real-time agents that are situated in a changeful, unpredictable, and time-constrained environment. Based on Neisser's human cognition model, we propose an architecture for real-time agents. This architecture consists of three components, namely perception, cognition, and action, which can be realized as a set of concurrent administrator and worker processes. These processes communicate and synchronize with one another for real-time performance. The design and implementation of our architecture are highly modular and encapsulative, enabling users to plug in different components for different agent behavior. In order to verify the feasibility of our proposal, we construct a multi-agent version of a classical real-time arcade game "Space Invader" using our architecture. In addition, we also test the competitive ratio, a measure of goodness of on-line scheduling algorithms, of our implementation against results from idealized and simplified analysis. Results confirm that our task scheduling algorithm is both efficient and of good solution quality.