Knowledge Systems represent the structured forms of Meta-Reality—organized, dynamic, and conservative ensembles of meta-entities, semantic networks, and networks of networks. In essence, they are representations of Reality that emerge and evolve within living beings.

These systems enable purposive agents—living organisms endowed with finality—to explore Reality in an evolutionary manner, constructing and refining internal models of the world that guide their behavior. Through interactions of varying complexity with the environment, these agents pursue goals instrumental to their causal permanence, both individual and collective: self, offspring, species, and, at times, the surrounding ecosystem.

Knowledge Systems thus express the representational schemes that mediate evolutionary interaction with the world. These schemes range from simple sensory discriminations—such as the detection of energy gradients—to more articulated patterns of recognition (self/other, friend/foe, food/poison), and extend to complex frameworks of social, economic, and cultural interaction.

In this light, Knowledge Systems are not merely passive repositories of information, but active architectures of meaning that shape and are shaped by the evolutionary trajectories of the agents that inhabit them.