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  1. Implicit learning in rule induction and problem solving.Aldo Zanga, Jean-François Richard & Charles Tijus - 2004 - Thinking and Reasoning 10 (1):55-83.
    Using the Chinese Ring Puzzle (Kotovsky & Simon, Citation1990; P. J. Reber & Kotovsky, Citation1997), we studied the effect on rule discovery of having to plan actions or not in order to reach a goal state. This was done by asking participants to predict legal moves as in implicit learning tasks (Experiment 1) and by asking participants to make legal moves as in problem-solving tasks (Experiment 2). Our hypothesis was that having a specific goal state to reach has a dual (...)
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  • The effect of semantics on problem solving is to reduce relational complexity.Olga Megalakaki, Charles Tijus, Romain Baiche & Sébastien Poitrenaud - 2012 - Thinking and Reasoning 18 (2):159 - 182.
    This article reports a study carried out in order to measure how semantic factors affect reductions in the difficulty of the Chinese Ring Puzzle (CRP) that involves removing five objects according to a recursive rule. We hypothesised that semantics would guide inferences about action decision making. The study involved a comparison of problem solving for two semantic isomorphic variants of the CRP ( fish and fleas ) with problem solving for the puzzle's classic variant (the Balls and Boxes problem; Kotovsky (...)
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  • Reasoning based on categorisation for interpreting and acting: a first approach.Elisabetta Zibetti, Vicenç Quera, Charles Tijus & Francesc Salvador Beltran - 2001 - Mind and Society 2 (2):87-104.
    Taking a detour to reach a goal is intelligent behavior based on making inferences. The main purpose of the present research is to show how such apparently complex behavior can emerge from basic mechanisms such as contextual categorisation and goal attribution when perceiving people. We presentacacia (Action by Contextually Automated Categorising Interactive Agents), a computer model implemented using StarLogo software, grounded in the principles of Artificial Life (Al), capable of simulating the behavior of a group of agents with a goal (...)
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  • Knowledge of domain effects in problem representation: The case of tower of hanoi isomorphs.Evelyne Clement - 1997 - Thinking and Reasoning 3 (2):133 – 157.
    Differences in difficulty between isomorphs of the Tower of Hanoi are generally explained in terms of differences in processing loads required by the different versions Kotovsky & Fallside, 1989 . Our claim is that the general knowledge about an action, activated by the context, is what guides the elaboration of problem representation. To test this hypothesis, we manipulated the context using four isomorphs. The results support the hypothesis: the selection of the adequate point of view on the action depends on (...)
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