Survival of the mutable: architecture of adaptive reactive agents
An agent is defined as any device that perceives a certain environment through stimuli and acts upon it as to achieve a certain goal. There is a plethora of theories, architectures and languages in the literature aiming at how much an agent may be improved at performing a task. However, the majority...
Guardado en:
| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/63500 |
| Aporte de: |
| Sumario: | An agent is defined as any device that perceives a certain environment through stimuli and acts upon it as to achieve a certain goal. There is a plethora of theories, architectures and languages in the literature aiming at how much an agent may be improved at performing a task. However, the majority of them focuses on the internal agent function itself instead of adopting a macroscopic, broader view of what the term “intelligent” means in the long run. In this paper we take a bio-inspired route and describe how the simplest reactive agent can be boosted towards improvements at performing complex tasks by making it mutable. We provide a mathematical framework to support such features.
Conceptually, the addition of a mutability layer does not break the existing paradigms and allows hybrid approaches as a means to achieve better results. |
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