Chapter 4 – Deductive reasoning

This chapter explores a particular type of reasoning – deductive reasoning. We first look at what deductive reasoning is (and isn’t). We then look at some of the types of deductive reasoning such as conditional reasoning or ‘if … then’ reasoning and how the content of the problem can influence reasoning. We consider the Wason selection task which involves a mixture of deductive and inductive reasoning and examine biases that interfere with our reasoning on this task. We also explore syllogistic reasoning. We consider theories that try to explain different types of reasoning such as mental models theories and dual-process theories such as Type 1 and Type 2 processing. Towards the end of the chapter, we consider the question ‘are humans rational?’ and we finish with a consideration of informal reasoning. Throughout the chapter, there are lots of examples of real-life reasoning and reasoning problems for you to try.

Chapter 4 – Introduction

Transcript
  • Chapter 4 – Flashcards

    deductive reasoning

    Reasoning from given information that is assumed to be true to derive conclusions that necessarily follow from the information.

    inductive reasoning

    Reasoning from knowledge of specific instances and examples to derive generalisations that are probable but not certain.

    informal reasoning

    A type of everyday reasoning that is based on a person’s relevant knowledge and experience rather than on the formal rules of logic.

    conditional reasoning

    A type of deductive reasoning that is based on statements or propositions that take the form “If p…then q”.

    propositional logic

    A system of formal rules devised by logicians that enable valid arguments to be developed from simple statements (propositions) that are linked by logical relations such as if…then, and, or and not.

    premises

    Statements or propositions that are given and are assumed to be true, from which conclusions can be drawn that may be valid or invalid.

    inference rules

    Logical rules that can be applied to premises to determine whether an inference is valid or invalid. For example, modus ponens (from the Latin meaning “mode of affirming”) is a rule which states that given “If p then q” and given that “p” is true, we can infer that “q” is also true by way of a valid conclusion.

    mental models

    Mental representations of possible states of the world that capture the meaning of information in given premises. According to mental models theories of reasoning, people draw inferences based on these models of possibilities.

    principle of truth

    The idea that the mental models that people construct for given information only capture true possibilities and not false possibilities.

    syllogisms

    These are a type of reasoning problem that are composed of two premises and a conclusion. The premises and conclusion include the categorical expressions “all”, “no”, “some” and “some…not”, which are referred to as quantifiers.

    heuristic

    A rule of thumb that is undemanding of cognitive resources and that often succeeds in producing answers that are correct or approximately correct.

    matching bias

    The tendency on abstract versions of the Wason selection task for people to choose to turn over cards matching the items that are mentioned in the given conditional rule irrespective of the presence or absence of negations.

    deontic terms

    These are terms such as “must”, “should” and “may”, which when used in conditional rules specify obligations and permissions.

    belief bias

    In syllogistic reasoning this is the tendency to accept invalid but believable conclusions and to reject valid but unbelievable conclusions.

    atmosphere effect

    In syllogistic reasoning this is the tendency for people to endorse conclusions based on the quantifiers used in the premises rather than on the logic of the argument.

    figural bias

    In syllogistic reasoning this is the tendency for people to endorse conclusions based on the order of terms in premises rather than on the logic of the argument.

    meta-reasoning

    The monitoring and control processes that determine the processes and strategies that are deployed in reasoning as well as the amount of time and effort that is devoted to deriving a solution to a given problem or task.

    bounded rationality

    The idea that people’s rationality is limited by cognitive constraints and environmental constraints such that they are as rational as they can be when reasoning under these limitations.

    satisficing

    Finding a solution to a problem that is good enough to achieve a goal but is sub-optimal because humans have bounded rationality.

    normativism

    The idea that human reasoning should be judged as “correct” or “incorrect” according to how closely its outputs match established norm and standards such as those of logic or probability theory.

    myside bias

    In informal reasoning this is the tendency to interpret information in a way that aligns with one’s own beliefs or to generate justifications or arguments that support those beliefs.

Chapter 4 – Quiz

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