Research on the capacity to understand others' minds has tended to focus on representations ofbeliefs,which are widely taken to be among the most central and basic theory of mind representations. Representations ofknowledge, by contrast, have received comparatively little attention and have often been understood as depending on prior representations of belief. After all, how could one represent someone as knowing something if one does not even represent them as believing it? Drawing on a wide range of methods across cognitive science, (...) we ask whether belief or knowledge is the more basic kind of representation. The evidence indicates that nonhuman primates attribute knowledge but not belief, that knowledge representations arise earlier in human development than belief representations, that the capacity to represent knowledge may remain intact in patient populations even when belief representation is disrupted, that knowledge (but not belief) attributions are likely automatic, and that explicit knowledge attributions are made more quickly than equivalent belief attributions. Critically, the theory of mind representations uncovered by these various methods exhibits a set of signature features clearly indicative of knowledge: they are not modality-specific, they are factive, they are not just true belief, and they allow for representations of egocentric ignorance. We argue that these signature features elucidate the primary function of knowledge representation: facilitating learning from others about the external world. This suggests a new way of understanding theory of mind – one that is focused on understanding others' minds in relation to the actual world, rather than independent from it. (shrink)

Research on theory of mind has primarily focused on demonstrating and understanding the ability to represent others' non‐factive mental states, for example, others' beliefs in the false‐belief task. This requirement confuses the ability to represent a particular kind of non‐factive content (e.g., a false belief) with the more general capacity to represent others' understanding of the world even when it differs from one's own. We provide a way of correcting this. We first offer a simple and theoretically motivated account on (...) which tracking another agent's understanding of the world and keeping that representation separate from one's own are the essential features of a capacity for theory of mind. We then show how these criteria can be operationalized in a new experimental paradigm: the “diverse‐knowledge task.”. (shrink)

Any form of overt communication, be it gestural or linguistic, involves pragmatic skills. This article investigates the social–cognitive foundations of pragmatic development from infancy to late childhood and argues that it is driven by, among other things, the emergence of the capacities to assess the communicator's competence (e.g. perceptual access, epistemic states) and honesty. We discuss the implications of this proposal and show how it sheds new light on the developmental trajectory of a series of pragmatic phenomena, with a specific (...) focus on the development of irony comprehension. (shrink)

W. Labov's & T. Labov's findings concerning their child grammar acquisition ("Learning the Syntax of Questions" in Recent Advances in the Psychology of Language, Campbell, R. & Smith, P. Eds, New York: Plenum Press, 1978) are interpreted in terms of different semantics of why & other wh-questions. Z. Dubiel.

Factive mental states, such as knowing or being aware, can only link an agent to the truth; by contrast, nonfactive states, such as believing or thinking, can link an agent to either truths or falsehoods. Researchers of mental state attribution often draw a sharp line between the capacity to attribute accurate states of mind and the capacity to attribute inaccurate or “reality-incongruent” states of mind, such as false belief. This article argues that the contrast that really matters for mental state (...) attribution does not divide accurate from inaccurate states, but factive from nonfactive ones. (shrink)

The lack of consensus on how to characterize humans’ capacity for belief reasoning has been brought into sharp focus by recent research. Children fail critical tests of belief reasoning before 3 to 4 years (Wellman, Cross, & Watson, 2001; Wimmer & Perner, 1983), yet infants apparently pass false belief tasks at 13 or 15 months (Onishi & Baillargeon, 2005; Surian, Caldi, & Sperber, 2007). Non-human animals also fail critical tests of belief reasoning but can show very complex social behaviour (e.g., (...) Call & Tomasello, 2005). Fluent social interaction in adult humans implies efficient processing of beliefs, yet direct tests suggest that belief reasoning is cognitively demanding, even for adults (e.g., Apperly, Samson & Humphreys, 2005). We interpret these findings by drawing an analogy with the domain of number cognition, where similarly contrasting results have been observed. We propose that the success of infants and non-human animals on some belief reasoning tasks may be best explained by a cognitively efficient but inflexible capacity for tracking belief-like states. In humans this capacity persists in parallel with later-developing, more flexible but more cognitively demanding theory of mind abilities. (shrink)

Among psychologists, it is widely thought that infants well under age 3, monkeys, apes, birds, and dogs have been shown to have rudimentary capacities for representing and attributing mental states or relations. I believe this view to be mistaken. It rests on overinterpreting experiments. It also often rests on assuming that one must choose between taking these individuals to be mentalists and taking them to be behaviorists. This assumption underestimates a powerful nonmentalistic, nonbehavioristic explanatory scheme that centers on attributing action (...) with targets and on causation of action by interlocking, internal conative, and sensory states. Neither action with targets, nor conative states, nor sensing entails mentality. The scheme can attribute conative states and relations, efficiency, sensory states and relations, sensory retention, sensory anticipation, affect, and appreciation of individual differences. The scheme can ground explanations of false belief tests that do not require infants or nonhuman animals to use language. After the scheme is explained and applied, it is contrasted with other, superficially similar schemes proposed in the literature---for example, those of Gergely and Csibra, Wellman and Gopnik, Perner and Roessler, Flavell, and Apperly and Butterfill. Better methods for testing are briefly discussed. (shrink)