In (201800004), I gained an introductory understanding of cognitive science, exploring its interdisciplinary foundations and developing essential research skills. This course provided a broad overview of cognitive science through lectures and workgroups, assessed via two exams and two group assignments. Below is a breakdown of the topics covered:
I gained elementary insight into cognitive science and its diverse approaches, alongside practical research skills critical for AI.
Philosophy: Explored philosophical perspectives on the mind.
Psychology: Studied psychological approaches to cognition.
Biology and Neuroscience: Examined the physical processes underlying cognition.
Linguistics: Analyzed language and thought connections.
Robotics and AI: Investigated the application of artificial intelligence.
Additional Topics included: Cognition, evolution, emotion, and social neuroscience.
Workgroup Activities
Neuromyths: Analyzed neuromyths using scientific literature.
Experiment Design: Selected and adapted experiments in Gorilla, defining research questions.
Empirical Cycle: Learned the research process, from hypothesis formulation to methodology.
Data Analysis: Processed experimental data using simple tools like Excel.
Scientific Communication: Created and presented a research report.
Assignment 1: Focused on formulating research questions. Wrote a concise research proposal on replicating an experiment.
Assignment 2: Involved conducting and reporting a full experiment (~15-20 participants), where I analyzed data, and produced a research report.
Through this course, I developed a foundational understanding of cognitive science’s role in AI.