On plasticity, complexity, and sapient systems
Sapient agents have been characterized as a subclass of intelligent agents capable of “insight” and “sound judgment.” Although several engineering issues have been established to characterize sapient agents, biological referents also seem necessary to understand the cognitive functionality of such systems. Small-world and scale-free networks, the so-called complex networks, provide a new mathematical approach to anatomical and functional connectivity related to cognitive processes. We argue that complex cognitive functions require such complex connectivity, which results from epigenetic development through experiences. Particularly we claim that agents will show complex functionality only if a complex arrangement of their knowledge is achieved. In this chapter, we propose a model in which situated agents evolve knowledge networks holding both small-world and scale-free properties. Experimental results using pragmatic games support explanations about the conditions required to obtain such networks relating degree distribution and sensing; clustering coefficient and biological motivations; goals; acquired knowledge; and attentional focus. This constitutes a relevant advance in the understanding of how low-level connectivity emerges in artificial agents.
| Main Authors: | , , , |
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| Format: | capítulo de libro biblioteca |
| Language: | English |
| Published: |
Springer
2008
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| Online Access: | http://hdl.handle.net/10261/127910 |
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