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Emergent Creativity: An Architectural View on AI Consciousness and Deception

· 5 min read
Ivan Baha
Software Team Lead & Architect

Early artificial intelligence research, which started in the early 1950s, split into two distinct architectural paradigms. The first was a logic-inspired approach that attempted to hard-code intelligence using symbolic expressions and predefined rules. The second, biologically inspired approach posited that intelligence is fundamentally rooted in learning through networks of simulated brain cells. Rather than writing explicit logic, this architecture focused on enabling a system to learn by recognizing patterns and making analogies. It was inspired by research into how our brain works, realizing that biological networks are highly effective at finding analogies and patterns, and then using them to recreate or recognize information.