👉 Pattern-Dependent Processing (PDP) is a computational model that emphasizes the role of experience and context in shaping cognitive processes. Unlike traditional models that often rely on static, rule-based systems, PDP posits that cognitive functions are dynamic and adapt based on the patterns and associations encountered during an individual's interactions with their environment. This approach suggests that learning and memory are not just about storing information but also about the ability to recognize and respond to patterns, which can influence perception, decision-making, and behavior. PDP integrates insights from cognitive psychology, neuroscience, and artificial intelligence to explain how the brain processes information in a flexible and context-sensitive manner, adapting to new situations by leveraging learned patterns.
