This mode searches for entries containing all the entered words in their title, author, date, comment field, or in any of many other fields showing on MindPapers pages.
Surname
This mode searches for entries containing the text string you entered in their author field. Note that the database does not have first names for all authors, so it is preferable to search only by surnames. If you search for a full name or a name with an initial, enter it in the format used internally by MindPapers, namely the "Lastname, Firstname" or "Lastname, F." format.
Advanced
This mode differs from the all fields mode in two respects. First, some information not publicly available on MindPapers is searched, e.g., abstracts and excerpts gathered by the MindPapers crawler, which are not always accurate but can help broaden one's search. Second, you may prefix any term with a '+' or '-' to narrow the search to entries containing it or not containing it, respectively. Terms which are not prefixed by a '+' are not mandatory. Instead, they are weighed depending on their frequency in order to determine the best search results. You may also search for a literal string composed of several words by putting them in double quotation marks (").
Note that short and / or common words are ignored by the search engine.
Try MindPapers to find published items which are available on a subscription basis.
Abstract: Recent work in biology and cognitive science depicts a variety of target phenomena as the products of a tangled web of causal influences. Such influences may include both internal and external factors as well as complex patterns of reciprocal causal interaction. Such twisted tales are sometimes seen as a threat to explanatory strategies that invoke notions such as inner programs, genes for and sometimes even internal representations. But the threat, I shall argue, is more apparent than real. Complex causal influence, in and of itself, provides no good reason to reject these familiar explanatory notions. To believe otherwise, I suggest, is generally to commit (at least) one of two seductive errors. The first error is to think that the general notion of a state x coding for an outcome y involves the state's constituting a full description of y. This is what I call the myth of the self-contained code. The second error is to think that the practice of treating certain factors as special (e.g., seeing genes as coding for outcomes in a way environmental factors do not) depends on the (often mistaken) belief that the singled out factor is somehow doing the most real work. Where the amounts of causal influence are evenly spread, it is assumed there can be no reason to treat one factor in a special way. This is what I term the Myth of Explanatory Equality. Avoiding these errors involves reminding ourselves of (1) the rich context-dependence of even standard, unproblematic uses of the notions of code, program and information content (all three make sense only relative to an assumed ecological backdrop) and (2) the difference between explaining why an event occurred and displaying the full workings of a complex causal system
Abstract: We introduce two notions–the shadows and the shallows of explanation–in opening up explanation to broader, interdisciplinary investigation. The shadows of explanation refer to past philosophical efforts to provide either a conceptual analysis of explanation or in some other way to pinpoint the essence of explanation. The shallows of explanation refer to the phenomenon of having surprisingly limited everyday, individual cognitive abilities when it comes to explanation. Explanations are ubiquitous, but they typically are not accompanied by the depth that we might, prima facie, expect. We explain the existence of the shadows and shallows of explanation in terms of there being a theoretical abyss between explanation and richer, theoretical structures that are often attributed to people. We offer an account of the shallows, in particular, both in terms of shorn-down, internal, mental machinery, and in terms of an enriched, public symbolic environment, relative to the currently dominant ways of thinking about cognition and the world