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An intersection is an autonomous agent represented as a node and the communication flow between each node is represented as an edge.
An artificial fish is an autonomous agent situated in a simulated physical world.
This article presents an agent architecture for controlling an autonomous agent in stochastic, noisy environments.
In this paper we describe an algorithm designed for learning perceptual organization of an autonomous agent.
In particular, I describe an autonomous agent that can learn to acquire and integrate external information to enhance information extraction.
This study presents an autonomous agent to be able to behave appropriately in a complex environment with unsophisticated sensors.
Although many such systems have been developed, integrating them into an autonomous agent architecture remains an area of active research.
We have integrated an active stereo vision system with an autonomous agent architecture using a system of perceptual memory.
Furthermore, an autonomous agent architecture is introduced that adopts the proposed consumer models to perform simulation and result analysis.
Stuart Russell ''Prior Knowledge and Autonomous Learning". In Maes, P. and van der Velde, W. (Eds). Representation and Learning in an Autonomous Agent.
This paper presents an algorithm that uses visual information to achieve the homing of an autonomous agent inside a previously visited environment.
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