For decades, the dominant paradigm in cognitive science treated the human mind as a dry-docked computer, parsing symbolic inputs through rigid algorithmic pathways. When connectionist models emerged in the late twentieth century, proposing that intelligence instead emerges dynamically from vast, interconnected neural networks, traditionalists reacted with defensive skepticism. They dismissed these new architectures as mere 'assemblages'—a term loaded with the implication of arbitrary, unguided construction. To the computational orthodox, connectionism lacked the elegant, top-down blueprints of classical cognitive architectures, offering instead what they perceived as a messy, bottom-up heap of nodes. By branding connectionist networks with this term, traditionalists sought to underscore the absence of structured, rule-based representation, framing the new theory not as a sophisticated alternative, but as a regression into mechanical chaos.
In the context of the passage, the traditionalists' branding of connectionist networks as 'assemblages' primarily serves to do which of the following?
- Acontrast the elegant top-down blueprints of connectionist networks with the rigid algorithmic pathways of classical computers
- characterize the traditionalists' perception of connectionist networks as lacking deliberate, rule-governed structureCevap
- Ctrace the historical emergence of connectionist theory as a dominant paradigm in late-twentieth-century cognitive science
- Dprove that the physical components of connectionist architectures were constructed in an unguided, random fashion