Computational Modeling of Cognition

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1. Computational modeling of cognition primarily aims to:





2. Which of the following is a common approach in computational cognitive modeling?





3. Symbolic models of cognition are based on:





4. Connectionist models are also known as:





5. ACT-R is an example of a:





6. Cognitive architectures are designed to:





7. The SOAR cognitive architecture emphasizes:





8. In computational modeling, a production rule consists of:





9. Bayesian models in cognition are based on:





10. Marr’s levels of analysis in cognitive science include:





11. The computational level in Marr’s framework focuses on:





12. The algorithmic level in Marr’s theory concerns:





13. The implementational level in Marr’s framework focuses on:





14. Which cognitive model simulates memory through chunking?





15. The term “parallel distributed processing” is associated with:





16. In computational modeling, “emergence” refers to:





17. Which of the following is a key advantage of computational models in cognition?





18. A limitation of computational models is that:





19. Connectionist models learn mainly through:





20. Which learning rule is commonly used in neural networks?





21. Computational models are particularly useful in studying:





22. Which of the following best describes hybrid models?





23. Reinforcement learning models in cognition explain:





24. Cognitive simulations in AI are often evaluated by:





25. The “rational analysis” approach in cognitive modeling was proposed by:





26. Rational analysis assumes that cognition is:





27. Which of the following is a bottom-up approach to cognition?





28. Which of the following is a top-down approach to cognition?





29. In cognitive modeling, a “chunk” refers to:





30. Which of the following models emphasizes probabilistic reasoning under uncertainty?





31. The “Chinese Room” argument by Searle criticizes:





32. Cognitive modeling helps in bridging:





33. A computational model is said to have “ecological validity” if:





34. Which of the following methods is widely used in modeling decision-making?





35. Parallel processing in cognition suggests that:





36. ACT-R represents declarative knowledge as:





37. Procedural knowledge in ACT-R is represented as:





38. Cognitive modeling of attention often uses:





39. Which learning rule is summarized as “cells that fire together, wire together”?





40. In modeling perception, feature detectors are used to:





41. Computational modeling is often validated using:





42. Which field most directly benefits from computational modeling of cognition?





43. A cognitive model is said to be “predictive” if:





44. Which area of cognition is often modeled using recurrent neural networks (RNNs)?





45. Which model type best explains probabilistic word recognition?





46. Computational models can be used to simulate:





47. One criticism of computational modeling is that:





48. Which of the following is an interdisciplinary foundation for computational cognitive modeling?





49. Which computational model best explains human categorization?





50. Ultimately, computational models of cognition seek to: