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- W2275315138 abstract "Classical planners, which automatically generate plans to be executed as a sequence of primitive actions cannot follow their actual execution because they cannot compare and modify its behaviour continuously using sensor data flow. On the other hand, autonomous systems need to interact with the environment because they have an incomplete knowledge about it. So, the planner doesn't pretend to generate explicitly all the actions. In this paper we propose an alternative way to design and build an autonomous system introducing the metaphor of biochemical machine. We think of the whole system as a family of behaviours, each implementing a set of actions which specify, at each step, the most appropriate response to a perceptual issued stimulus. Moreover, each behaviour is equipped with appropriate receptors which can cause its inhibition, or suspension, if it is not currently requested. Later, the behaviours can be resumed. Such an inhibition schema is directly driven by the system itself using sensor data and the knowledge it has about its state." @default.
- W2275315138 created "2016-06-24" @default.
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- W2275315138 date "1970-01-01" @default.
- W2275315138 modified "2023-09-23" @default.
- W2275315138 title "A Chemical Machine Implementing Autonomous Systems" @default.
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- W2275315138 doi "https://doi.org/10.2495/ai950481" @default.
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