1. Does the term 'searching' as used in these papers have anything to do with how the term 'searching' is used in artificial intelligence? Or should both of them be considered independent?
2. To apply either the constraint-seeking or the hypothesis-scanning strategy, my understanding is that one already needs a hypotheses space. In lab tasks, this seems easy, but I wonder if you (or anyone) is also investigating where the hypotheses themselves are coming from, especially in outside-lab environments?
3. Intuitively, it seems that one starts with open-ended questions (What is that object? What is it for?) and perhaps then begins to clarify disambiguities using more specific questions as they arise in the answers to the open-ended questions. Aristotle suggested four kinds of such open ended questions. I wonder if there is a more modern categorization of such open-ended questions.