The paper has two main objectives: first, it presents a new argument against the so-called Anscombe Thesis (if χ φ-s by ψ-ing, then χ's φ-ing = χ's ψ-ing). Second, it develops a proposal about the syntax and semantics of the 'by'-locution.

How questions are understudied in philosophy and linguistics. They can be answered in very different ways, some of which are poorly understood. Jaworski identifies several types: ‘manner’, ‘method, means or mechanism’, ‘cognitive resolution’, and develops a logic designed to enable us to distinguish among them. Some key questions remain open, however, in particular, whether these distinctions derive from an ambiguity in how, from differences in the logical structure of the question or from contextual underspecification. Arguing from two classes of responses, (...) adverbs and by gerunds, I give the answer that the logical structure of the question is indeed relevant: loosely, manners are adjuncts but methods are arguments. (shrink)

The problem of the time of a killing is often cited as providing grounds for rejecting the action identification thesis favoured by Anscombe and Davidson. In this paper I make three claims. First, I claim that this problem is a threat to the action identification thesis because of two assumptions the thesis makes: since the thesis takes actions to be a kind of doings, it has to assume that agents’ doings last as long as their actions and vice versa. Second, (...) I claim that not making both of these assumptions necessarily leads to another problem, the problem of the acting dead. This means that any theory of action has to choose its poison and face either one of these unresolved problems. Third, I claim that the solution to the problem of the time of a killing can be found by heeding linguistic arguments that ‘kill’ cannot mean ‘cause to die,’ as is commonly assumed, but instead has to have a more complex meaning. I discuss an alternative, more complex proposal and show how it allows us to keep the action identification thesis, fits colloquial usage of ‘kill’ and deals with the problem of the time of a killing. (shrink)

Ryle (1949, Chapter V) discusses a range of predicates which in different ways exemplify a property I shall call quasi-duality - they appear to report two actions or events in one predicate. Quasi-duality is the key property of predicates Ryle classed as achievements. Ryle's criteria for classification were not temporal or aspectual, and Vendler's subsequent adoption of the term achievement for the aktionsart of momentary events changes the term - Rylean achievements and Vendlerian achievements are in principle different classes. Nevertheless, (...) I shall argue in this paper that certain kinds of quasi-duality do have aspectual significance. This paper examines a number of quasi-dual predicates which are not generally discussed in the aktionsart literature, including break a promise, miscount, and cure the patient. Two types of quasi-dual predicates are identified and dubbed criterion predicates and causative upshot predicates. It is shown that both types of quasi-dual predicate lack process progressives, despite being durative, and it is argued that the lack of process progressives identifies these predicates as (aspectual) achievements. They are termed durative achievements to distinguish them from canonical, momentary achievements. It is argued that these predicates lack process progressives, and hence are achievements, because they express individual-level predicates on the event argument. A process progressive is stage-level for the event, and hence is incompatible with a predicate which is lexically individual-level for the event. (shrink)

Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...) psychology. Despite the ubiquity of causal reasoning, textbooks of cognitive psychology have neglected this growing field. The goal of The Oxford Handbook of Causal Reasoning is to fill this gap. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields. 1. Causal Reasoning: An Introduction Michael R. Waldmann Part I: Theories of Causal Cognition 2. Associative Accounts of Causal Cognition Mike E. Le Pelley, Oren Griffiths, and Tom Beesley 3. Rules of Causal Judgment: Mapping Statistical Information Onto Causal Beliefs José C. Perales, Andrés Catena, Antonio Cándido, and Antonio Maldonado 4. The Inferential Reasoning Theory of Causal Learning: Toward a Multi- Process Propositional Account Yannick Boddez, Jan De Houwer, and Tom Beckers 5. Causal Invariance as an Essential Constraint for Creating a Causal Representation of the World: Generalizing the Invariance of Causal Power Patricia W. Cheng and Hongjing Lu 6. The Acquisition and Use of Causal Structure Knowledge Benjamin Margolin Rottman 7. Formalizing Prior Knowledge in Causal Induction Thomas L. Griffiths 8. Causal Mechanisms Samuel G. B. Johnson and Woo-kyoung Ahn 9. Force Dynamics and Causation Phillip Wolff and Robert Thorstad 10. Mental Models and Causation P. N. Johnson- Laird and Sangeet S. Khemlani 11. Pseudocontingencies Klaus Fiedler and Florian Kutzner 12. Singular Causation David Danks 13. Cognitive Neuroscience of Causal Reasoning Joachim T. Operskalski and Aron K. Barbey Part II: Basic Cognitive Functions 14. Visual Impressions of Causality Peter White 15. Goal-Directed Actions Bernhard Hommel 16. Planning and Control Magda Osman 17. Reinforcement Learning and Causal Models Samuel J. Gershman 18. Causation and the Probability of Causal Conditionals David E. Over 19. Causal Models and Conditional Reasoning Mike Oaksford and Nick Chater 20. Concepts as Causal Models: Categorization Bob Rehder 21. Concepts as Causal Models: Induction Bob Rehder 22. Causal Explanation Tania Lombrozo and Nadya Vasilyeva 23. Diagnostic Reasoning Björn Meder and Ralf Mayrhofer 24. Inferring Causal Relations by Analogy Keith J. Holyoak and Hee-Seung Lee 25. Causal Argument Ulrike Hahn, Roland Bluhm, and Frank Zenker 26. Causality in Decision- Making York Hagmayer and Philip M. Fernbach Part III: Domains of Causal Reasoning 27. Intuitive Theories Tobias Gerstenberg and Joshua B. Tenenbaum 28. Space, Time, and Causality Marc J. Buehner 29. Causation in Legal and Moral Reasoning David A. Lagnado and Tobias Gerstenberg 30. The Role of Causal Knowledge in Reasoning About Mental Disorders Woo-kyoung Ahn, Nancy S. Kim, and Matthew S. Lebowitz 31. Causality and Causal Reasoning in Natural Language Torgrim Solstad and Oliver Bott 32. Social Attribution and Explanation Denis Hilton Part IV: Development, Phylogeny, and Culture 33. The Development of Causal Reasoning Paul Muentener and Elizabeth Bonawitz 34. Causal Reasoning in Non-Human Animals Christian Schloegl and Julia Fischer 35. Causal Cognition and Culture Andrea Bender, Sieghard Beller, and Douglas L. Medin. (shrink)