Title
'Theory of mind' in animals: ways to make progress.
Abstract
Whether any non-human animal can attribute mental states to others remains the subject of extensive debate. This despite the fact that several species have behaved as if they have a ‘theory of mind’ in various behavioral tasks. In this paper, we review the reasons of skeptics for their doubts: That existing experimental setups cannot distinguish between ‘mind readers’ and ‘behavior readers’, that results that seem to indicate ‘theory of mind’ may come from studies that are insufficiently controlled, and that our own intuitive biases may lead us to interpret behavior more ‘cognitively’ than is necessary. The merits of each claim and suggested solution are weighed. The conclusion is that while it is that existing setups cannot conclusively demonstrate ‘theory of mind’ in non-human animals, focusing on this fact is unlikely to be productive. Instead, the more interesting question is how their social reasoning can be, whether it is about ‘unobservable inner experiences’ or not. Therefore, it is important to address concerns about the setup and interpretation of specific experiments. To alleviate the impact of intuitive biases, various strategies have been proposed in the literature. These include a deeper understanding of associative learning, a better knowledge of the limited ‘theory of mind’ humans actually use, and thinking of animal cognition in an embodied, embedded way; that is, being aware that constraints of the brain, and of the body, may naturally predispose individuals to produce behavior that looks smart without requiring complex cognition. To enable this kind of thinking, a powerful methodological tool is advocated: Computational modeling, namely agent-based modeling and, particularly, cognitive modeling. By explicitly simulating the rules and representations that underlie animal performance on specific tasks, it becomes much easier to look past one’s own biases and to see what cognitive processes might actually be occurring.
Year
DOI
Venue
2014
10.1007/s11229-012-0170-3
Synthese
Keywords
Field
DocType
Theory of mind,Animal cognition,Computational modeling
Computer science,Theory of mind,Comparative psychology,Theory of mind in animals,Embodied cognition,Cognitive model,Associative learning,Cognition,Epistemology,Animal cognition
Journal
Volume
Issue
ISSN
191
3
0039-7857
Citations 
PageRank 
References 
1
0.40
6
Authors
2
Name
Order
Citations
PageRank
Elske van der Vaart151.65
Charlotte K Hemelrijk2325.53