The aim of this study was to examine the predictions of three theories of human logical reasoning, (a) mental model theory, (b) formal rules theory (e.g., PSYCOP), and (c) the probability heuristics model, regarding the inferences people make for extended categorical syllogisms. Most research with extended syllogisms has been restricted to the quantifier All and to an asymmetrical presentation. This study used three-premise syllogisms with the additional quantifiers that are used for traditional categorical syllogisms as well as additional syllogistic figures. The predictions of the theories were examined using overall accuracy as well as a multinomial tree modelling technique. The results demonstrated that all three theories were able to...
Two experiments are reported in which the representational distinctiveness of terms within categoric...
Existing accounts of syllogistic reasoning oppose rule-based and model-based methods. Stenning \& Ob...
9th Mexican International Conference on Artificial Intelligence, MICAI 2010; Pachuca; Mexico; 8 Nove...
Summary : Resolution of formal categorial syllogisms. After a brief reminder of the structure of cat...
Summary : Resolution of formal categorial syllogisms. After a brief reminder of the structure of cat...
A probability heuristic model (PHM) for syllogistic reasoning is proposed. An informational ordering...
A probability heuristic model (PHM) for syllogistic reasoning is proposed. An informational ordering...
AbstractThis paper presents a new theory of syllogistic reasoning. The proposed model assumes there ...
Syllogistic reasoning, in which people identify conclusions from quantified premise pairs, remains a...
23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligen...
In this paper we propose a mental models theory of syllogistic reasoning which does not incorporate ...
The complexity of categorical syllogisms was assessed using the relational complexity metric, which ...
Syllogistic reasoning from categorical premise pairs is generally taken to be a multistep process. ...
AbstractThe data presented in this article are related to the research article entitled “Probabilist...
The data presented in this article are related to the research article entitled “Probabilistic repre...
Two experiments are reported in which the representational distinctiveness of terms within categoric...
Existing accounts of syllogistic reasoning oppose rule-based and model-based methods. Stenning \& Ob...
9th Mexican International Conference on Artificial Intelligence, MICAI 2010; Pachuca; Mexico; 8 Nove...
Summary : Resolution of formal categorial syllogisms. After a brief reminder of the structure of cat...
Summary : Resolution of formal categorial syllogisms. After a brief reminder of the structure of cat...
A probability heuristic model (PHM) for syllogistic reasoning is proposed. An informational ordering...
A probability heuristic model (PHM) for syllogistic reasoning is proposed. An informational ordering...
AbstractThis paper presents a new theory of syllogistic reasoning. The proposed model assumes there ...
Syllogistic reasoning, in which people identify conclusions from quantified premise pairs, remains a...
23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligen...
In this paper we propose a mental models theory of syllogistic reasoning which does not incorporate ...
The complexity of categorical syllogisms was assessed using the relational complexity metric, which ...
Syllogistic reasoning from categorical premise pairs is generally taken to be a multistep process. ...
AbstractThe data presented in this article are related to the research article entitled “Probabilist...
The data presented in this article are related to the research article entitled “Probabilistic repre...
Two experiments are reported in which the representational distinctiveness of terms within categoric...
Existing accounts of syllogistic reasoning oppose rule-based and model-based methods. Stenning \& Ob...
9th Mexican International Conference on Artificial Intelligence, MICAI 2010; Pachuca; Mexico; 8 Nove...