==================================================================== CS/Psych/ISyE 6795 Cognitive Scvience Spring 2005 Ashok K. Goel Mid-Term Examination Assigned: Wednesday, March 9, 2005 Due: Monday, March 14, 2005 (by class-time) -------------------------------------------------------------------- General Notes: You may consult any textbook you wish including the two textbooks for the class. You may also consult your classnotes including the classnotes posted on the class webpage/swicki. Of course, you want to cite the references you use. However, discussion with any other person is strictly off-limits. Please make your answer specific and precise, and illustrate them with diagrams and examples: precision and clarity are critical. Please answer all questions. ==================================================================== Question 1 (20 points): A Scandal in Bohemia is often is regarded as one of the best Sherlock Holmes stories written by Sir Arthur Conan Doyle. The story can be accessed from the pull-down menu at the Sherlock Holmes Museum at: http://www.sherlock-holmes.co.uk/home.htm (Many other websites also contain links to this story.) 1(a): What are deductive, abductive, inductive and predictive inferences? 1(b) Analyze Scandal in Bohemia in terms of deduction, abduction, induction, and prediction, i.e., identify the segments in which Holmes (or one of the other characters) is engaging in deductive, abductive, inductive, or predictive inferences. 1(c): What, if anything, does your analyis of this story imply for human cognition? You may want to consider various perspectives on this, e.g., the perspectives of the main characters and also the perspectives of the author and the reader (i.e., you). ==================================================================== Question 2 (10 points): Any knowledge that is represented as logical assertions can be converted to a probabilistic representation simply by assigning probability 1 to all True assertions and probability 0 to all False assertions. The reverse is not true however: hypotheses with probabilities between 0 and 1 are not directly representable as logical assertions. If probabilities can represent everything that logic can, and more, why build a theory of cognition that uses logic as a foundation for knowledge representation? What arguments, if any, may support the use of logic over probability? Conversely, what arguments, if any, may support the use of probability over logic? ==================================================================== Question 3 (10 points): In class, we discussed two meanings of concepts: concepts as categories and concepts as models. 3(a): Do concepts viewed as models also act like categories? If so, what is the difference between concepts as categories and concepts as models? 3(b): Categorization appears to be ubiquituous in cognition. Why? That is, what is the power of categorization? ==================================================================== Question 4 (10 points): Both case-based and analogical reasoning involve reminding and old problems and transfer of parts of their solutions to new problems. What (if any) are the differences between the two? For what class of problems or situations is case-based reasoning most effective? Analogical Reasoning? ==================================================================== Question 5: (15 points): In class, we discussed a multilayered neural network with inhibitory and excitory connections for word recognition. This network recognized words even if the input was incomplete or partially incorrect. For example, if presented with the input of BEFR with the intended input of BEER, a network capable of recognizing the words BEER and BEEP may correctly recognize the input to be BEER. 3(a) What changes (if any) to the above architecture would be needed to recognize partially incorrect sentences instead of words, e.g., given the the input of "I WOULD LIKE A COLD BEEP" with the intended input of I WOULD LIKE A COLD BEER." 3(b) Draw a schematic of the new architecture. 3(c) Is this method cognitively plausible for this problem. Why (or why not)? Please explain. ==================================================================== Question 6 (10 points): Marr's theory of visual perception decomposes the task of object recognition in vision into several subtasks. What is this task decomposition? What motivates the decomposition? Why not simply use the "bitmap" like raw image as a probe into the long-term memory of images and their interpretations, retrieve the closest matching image, and decide on an interpretation of the current image? ==================================================================== Question 7 (15 points): A main issue in the imagery debate is whether mental representations of spatial knowledge are descriptive or depictive. Recently there has been quite a bit of neurobiological evidence in favor of depictive representations. 4(a) What is the neurobilogical evidence in favor of depictive representations? 4(b) Does this evidence resolve the debate? Why (or why not)? ==================================================================== Question 8 (5 points): It is often argued that English (or any other natural language) cannot be the Language of Thought. Why not? ====================================================================