Online research in philosophy

In this paper, I present a framework where possible relations between learning and mental models are explored. In particular, I’ll be concerned with non-symbolic gestures accompanying discourse and their role in inducing the construction of models and therefore deep comprehension and learning in the listener. Also, I’ll be concerned with cognitive and socio-cognitive conflicts and their roles in inducing construction of alternative models of a problem and therefore in learning to reason. Human ability to learn is of great importance for (...) individuals interested in change. Indeed, to learn both declarative and procedural knowledge means to change, and in order to be able to intervene on change in a desired way it is necessary to have a theory of the mental representations and processes involved in learning and a theory of the communication and contexts that favour learning. (shrink)

The mental model theory claims that the ability to falsify is at the core of human rationality. We assume that cognitive conflicts (CCs) and socio-cognitive conflicts (SCCs) induce falsification, and thus improve syllogistic reasoning performance. Our first study assesses adults’ ability to reason in two different conditions in a single experimental session. In both conditions the participants are presented with conclusions alternative to their own. In the CC condition they are told that these conclusions are casual, in the SCC condition (...) they are told they have been produced by another individual. The second study is analogous to the first, with the exception that the participants deal with the two conditions in two different experimental sessions. The overall results reveal that falsification is enhanced by conflicts experienced at the cognitive level. The results also reveal that learning to reason occurs in adults, when tested in two distinct experimental periods. (shrink)

In this paper we deal with two types of reasoning: induction, and deduction First, we present a unified computational model of deductive reasoning through models, where deduction occurs in five phases: Construction, Integration, Conclusion, Falsification, and Response. Second, we make an attempt, to analyze induction through the same phases. Our aim is an explorative evaluation of the mental processes possibly shared by deductive and inductive reasoning.

Stanovich & West interpret errors in syllogistic reasoning in terms of computational limitations. I argue that the variety of strategies used by reasoners in solving syllogisms requires us to consider also performance errors. Although reasoners' performance from one trial to another is quite consistent, it can be different, in line with the definition of performance errors. My argument has methodological implications for reasoning theories.