We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Although commonly treated as two separate areas of study in primate cognition, inferential reasoning and problem solving share two key features. They involve going “beyond the information given,” and they compete with associative accounts to explain observable behavior. Despite these commonalities, the study of inferential reasoning and problem solving differ in non-trivial ways from both a methodological and conceptual perspective. They use different setups and use different concepts to investigate how individuals innovate when faced with novel challenges. However, these differences, I will argue, are far less substantial than their commonalities, especially when contrasted with competing frameworks such as associative or perceptual-based accounts of behavior. In this chapter, I will review some of the most relevant empirical studies in primates on inferential reasoning and problem solving. In general, studies on inferential reasoning entail choosing from two or more alternatives to locate a hidden food item (e.g., object permanence) whereas problem-solving studies require individuals to overcome some obstacle that is blocking their access to a visible food item (e.g., tool use). I will then attempt to synthesize this information to extract the key theoretical constructs, paying particular attention to the commonalities and differences between them. Finally, I will contrast the “inferential” approach to other competing approaches (associative, perceptual) in an attempt to strengthen the ties between inferential reasoning and problem solving and propose ways to foster progress in the coming years.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.