Insight problem solving was investigated with the matchstick algebra problems developed by Knoblich, Ohlsson, Haider, and Rhenius (1999). These problems are false equations expressed with Roman numerals that can be made true bymoving one matchstick. In a first group participants examined a static two-dimensional representation of the false algebraic expression and told the experimenter which matchstick should be moved. In a second group, participants interacted with a three-dimensional representation of the false equation. Success rates in the static group for different (...) problem types replicated the pattern of data reported in Knoblich et al. (1999). However, participants in the interactive group were significantly more likely to achieve insight. Problem-solving success in the static group was best predicted by performance on a test of numeracy, whereas in the interactive group it was best predicted by performance on a test of visuo-spatial reasoning. Implications for process models of problem solving are discussed. (shrink)

Decision framing concerns how individuals build internal representations of problems and how these determine the choices that they make. Research in this area has been dominated by studies of the framing effect, showing reversals in preference associated with the form in which a decision problem is presented. While there are studies that fail to reveal this effect, there is at present no theory that can explain why and when the effect occurs. The purpose of this article is to present a (...) selective review of research and use this to argue for a new framework for considering decision framing, to interpret past studies, and to set an agenda for future research. A simple information-processing model is developed. The model provides the basis for arguing that previous research has taken too narrow a view of how decision problems are internally represented and how these representations are transformed into choice behaviour. In addition, the model is used to highlight the importance of decision content and context. (shrink)

We argue that logical expressions in human language enable speakers to perform particular acts as well as stating propositions which may be true or false. We present a conversational action planning model of co-ordinated reasoning, which we use to predict choice of logical expressions in situations in which two people co-operate in the face of risk and uncertainty. We first show how this model predicts preferences for formulations of conditional directives where a principal instructs an agent on how to behave (...) in a hypothetical situation. Second, we show how this model accounts for choices of quantity and probability expressions that express risk, in situations where a professional advises a client on her options. We conclude that the pragmatic signals encoded in human logical vocabulary can facilitate the co-ordination of social interaction through aiding mutual recognition of intentions on joint projects where collaboration is likely to create value. (shrink)