Minimal model explanations of cognition
Open accessAbstract
Active materials are self-propelled non-living entities which, in some circumstances, exhibit a number of cognitively interesting behaviors such as gradient-following, avoiding obstacles, signaling and group coordination. This has led to scientific and philosophical discussion of whether this may make them useful as minimal models of cognition (Hanczyc, 2014; McGivern, 2019). Batterman and Rice (2014) have argued that what makes a minimal model explanatory is that the model is ultimately in the same universality class as the target system, which underpins why it exhibits the same macrobehavior. We appeal to recent research in basal cognition (Lyon et al., 2021) to establish appropriate target systems and essential features of cognition as a target of modeling. Looking at self-propelled oil droplets, a type of active material, we do not find that organization alone indicates that these systems exhibit the essential features of cognition. We then examine the specific behaviors of oil droplets but also fail to find that these demonstrate the essential features of cognition. Without a universality class, Batterman & Rice’s account of the explanatory power of minimal models simply does not apply to cognition. However, we also want to stress that it is not intended to; cognition is not the same type of behavioral phenomena as those found in physics. We then look to the minimal cognition methodology of Beer (1996, 2020a, b) to show how active materials can be explanatorily valuable regardless of their cognitive status because they engage in specific behaviors that have traditionally been expected to involve internal representational dynamics, revealing misconceptions about the cognitive underpinnings of certain, specific behaviors in target systems where such behaviors are cognitive. Further, Beer’s models can also be genuinely explanatory by providing dynamical explanations.
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Active materials such as self-catalyzing oil droplets are not cognitive systems despite imitating type-1 stigmergically coordinated chemotaxis.
“For its part, the CSA gives a simple reason why these active materials are not cognitive systems despite imitating what looks like type-1 stigmergically coordinated chemotaxis: the lack of requisite type-2 processes to generate normativity of task and salience of environmental variables.”
From Traces of thinking: a stigmergic approach to 4E cognition (2025) · cites this paper as Brancazio & Meyer, 2023
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“For example, Nick Brancazio and Russell Meyer consider the case of active materials which are self-propelled, non-living entities which exhibit a number of cognitively interesting behaviours such as gradient-following and obstacle-avoidance (Brancazio and Meyer, 2023).”
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Self-citation
- Authors
- Brancazio, N., & Meyer, R.
- Affiliations
- The University of Adelaide (AU)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Brancazio, Nick
- Venue
- European Journal for Philosophy of Science
- Published
- 2023-08-29
- Volume
- 13
- Issue
- 3
- ISSN
- 1879-4912 (ISSN-L)
- 1879-4920
- OpenAlex
- W4386252194
- Cited by
- 5
- References
- 79
- Citations by year
- 2026: 2 · 2025: 3
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- European Journal for Philosophy of Science (publishedVersion, cc-by)
- PhilSci-Archive (University of Pittsburgh) (submittedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion, cc-by)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Funders
- The University of Adelaide
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Keywords
- active materials, universality class, basal cognition, representational dynamics, group coordination, obstacle avoidance, signaling, philosophy of explanation
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