Skip to main content
Log in

The adaptive importance of cognitive efficiency: an alternative theory of why we have beliefs and desires

  • Published:
Biology & Philosophy Aims and scope Submit manuscript

Abstract

Finding out why we have beliefs and desires is important for a thorough understanding of the nature of our minds (and those of other animals). It is therefore unsurprising that several accounts have been presented that are meant to answer this question. At least in the philosophical literature, the most widely accepted of these are due to Kim Sterelny and Peter Godfrey-Smith, who argue that beliefs and desires evolved due to their enabling us to be behaviourally flexible in a way that reflexes do not—which, they claim, is beneficial in epistemically complex environments. However, as I try to make clear in this paper, upon closer consideration, this kind of account turns out to be theoretically implausible. In the main, this is because it fails to give due credit to the powers of reflex-driven organisms, which can in fact be just as flexible in their behaviour as ones that are belief/desire-driven. In order to improve on this account, I therefore propose that beliefs and desires evolved, not due to their enabling us to do something completely different from what reflexive organisms can do, but rather due to their enabling us to do the same things better. Specifically, I argue that beliefs and desires evolved for making the generation of behaviour more efficient, since they can simplify the necessary cognitive labour considerably. I end by considering various implications of this account.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. This clearly assumes that we really do have beliefs and desires. This seems a very reasonable assumption to make (see e.g. Stich 2009a, b; Nichols and Stich 2003); moreover, to the extent that it is still found unpersuasive, the argument presented here can be taken to provide further evidence for its truth (see also Sterelny 2003a, p. 7). Note also that the issue here does not concern the (folk) concepts of ‘belief’ and ‘desire’—rather, it concerns the actual structure of our cognitive architecture.

  2. Note that, with the exception of Sterelny (2003a), nearly all of these accounts concentrate exclusively on beliefs, and leave desires largely unmodelled. For present purposes, though, it is better not to separate these two so drastically.

  3. In behavioural ecology, it is customary to distinguish more finely among reflexes, habits, instincts, fixed actions patterns, drives and a number of other behavioural dispositions (see e.g. Krebs and Davies 1997; Mackintosh 1983, 1994). In the present context, though, making this finer distinction is not necessary.

  4. For more on input and output systems, see e.g. Fodor (1983); for more on an organism’s internal configuration, see Damasio (1994). In both cases, there is much room for debate about exactly what these systems are and how their states are best characterised; for present purposes, though, this can be left open. Note also that the term ‘decision making system’ ought not to be overinterpreted here—in particular, it is not to be seen as referring to any kind of representational system.

  5. Note also that, in some cases, the internal states can by themselves initiate an action (as when the organism stops doing whatever it is doing when it is in pain), and that the same is true for the input states (as when we lower our eyelids upon registering the presence of an object near our retina). For present purposes, though, these complications can be left aside.

  6. For a related (and slightly more detailed) picture, see also Dickinson (1994, p. 54) and Timberlake (2002, pp. 109–110). Note, though, that Dickinson’s view of these matters is fairly complex: he thinks that a reflex-based model can be seen as the realisor of a belief/desire-based one (see e.g. Dickinson 1994; Dickinson and Balleine 2000). A closer discussion of this idea is not possible here, however.

  7. That said, since belief/desire-driven organisms can also retain some reflexes, some input and internal states can initiate behavioural sequences directly even there. See also notes 9 and 22.

  8. Of course, there is much more that could be said about the nature of beliefs and desires; for present purposes, though, the account of the text is sufficient. Note also that this account does not entail that content internalism a la Fodor (1980) is true. In particular, there is no need to assume that the content of our beliefs and desires are our input and internal states.

  9. Note that since a belief/desire-driven organism is likely to maintain some of its reflexes (see also notes 7 and 22), a full picture of the latter kind of architecture would also contain an assembler that feeds some combinations of input- and internal states directly to the decision making system. I have not included this in Fig. 2 so as to make it easier to read. Note also that a combined picture of this sort might be seen to spell out the underpinnings of dual-system architectures like those defended e.g. by Sloman (1996), Stanovich (1999), and Carruthers (2006). I thank an anonymous referee for useful discussion of this point.

  10. Note that precursors of this account can be found in the nineteenth century (see e.g. the work of Spencer and Dewey); however, when it comes to the more specific issue of belief/desire-based vs. reflex-based decision making, Godfrey-Smith (1996) and Sterelny (2003a) clearly do deserve special mention. Note further that, in what follows, I shall concentrate on Sterelny’s (2003a) treatment, as it is a bit more detailed than that of Godfrey-Smith (1996). Finally, note that Sober (1994) presents a model that is formally similar to that in Godfrey-Smith (1996); however, he uses this model in a very different way. In particular, Sober (1994) is interested in determining which kinds of beliefs (variable or fixed) are adaptive under which circumstances, not with why we have beliefs at all; accordingly, his account will not be discussed further in what follows.

  11. For actual examples of these sorts of cases, see Heyes (1994, p. 293) and the references mentioned there.

  12. Note that this usefulness reaches a maximum, and then drops off again: in epistemically closed environments, there is no need to use decoupled representations either. There, acting in line with the relevant objective probabilities is all that can be achieved.

  13. Further criticisms are found in Sober (1997) and Walsh (1997). However, the issues they raise are quite different from the ones brought up here: in particular, they are more concerned with the Complexity Thesis, whereas I am more concerned with the Flexibility Thesis.

  14. Note that Sterelny (2003a, footnote 3, p. 35) seems to recognise this issue as being potentially problematic for the standard account. However, he does not consider it further.

  15. A structurally related point has been made by Block (1981) in a different context. I thank Kim Sterelny for useful remarks about this matter.

  16. For the clearest version of this kind of reply, see Sterelny (2003a, pp. 86; 92–93) (who attributes it to Dickinson). Another version is in Carruthers (2006, pp. 73–74).

  17. Of course, given the complex connections between inputs and internal states on the one hand, and beliefs and desires on the other, an organism with beliefs and desires could also (if it so ‘chose’) make the cognitive problem more complex. However, this is not so relevant here: the point is just that it can make it easier.

  18. For expositional convenience, I here concentrate on beliefs and input states only. However, all the arguments carry over when desires and internal states are considered as well.

  19. Note that I am using ‘efficiency’ in a wide sense here, as including matters of speed, reliability, and resource frugality. I thank an anonymous referee for pointing out the need to be clearer about this.

  20. This also fits with many other investigations that have found that, often, the simpler approach to a problem can be the more successful one (see e.g. Dennett 1989; Forster and Sober 1994; Gigerenzer and Selten 2001; Sober 1998b, 2001, 2008, 2009). However, unlike what is true in these other contexts, the issue here is not a methodological or epistemological point, but anengineering one.

  21. This does not mean that this must be the only reason why natural selection has favoured beliefs and desires over reflexes. The point is just that cognitive efficiency—unlike flexible responding—is one (key) reason for why it might have done so; other such reasons may exist.

  22. Note that this statement should not be read as implying that belief/desire-driven organisms get rid of their reflexes altogether (see notes 7 and 9). In fact, it is quite likely that an organism will want to retain some of its reflexes even after it switched to using beliefs and desires. This is due to the fact an organism’s table of reflexes need not have a uniform potential to be simplified: in particular, some of an organism’s actions might only be connected to very few prompts, so that there will not be major efficiency gains from making these actions belief/desire-driven.

  23. Alternatively, it could be said that whereas the standard account focuses on the fact that one input state can be associated with many different beliefs (and similarly for internal states and desires), my account focuses on the fact that many different input states can be associated with only one belief (and similarly for internal states and desires).

  24. A non-psychological example might make this clearer (see also Sober 2008, Chap. 3). Assume that the mammalian camera eye is the best available eye design. Should we therefore expect that all organisms have these kinds of eye? Not necessarily—since evolution is based on ‘gradient climbing’ (i.e. the incremental improvement of a trait from a given starting point), whether an organism evolves a camera eye depends on what kind of eye design it started out with. Now, in some circumstances, it may be the case that switching from a non-camera design to a camera design requires changes that, intermittently, lead to worse eyesight. In these circumstances, the relevant organism might not evolve a camera eye – and that is so even if the latter eye design is more adaptive than the one it currently has, and even if there are no constraints on the workings of natural selection.

References

  • Block N (1981) Psychologism and behaviorism. Philos Rev 90:5–43

    Article  Google Scholar 

  • Brooks R (1991) Intelligence without representation. Artif Intell 47:139–159

    Article  Google Scholar 

  • Carruthers P (2006) The architecture of the mind. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Clark A (1997) Being there. MIT Press, Cambridge

    Google Scholar 

  • Cosmides L, Tooby J (1992) The psychological foundations of culture. In: Cosmides L, Tooby J, Barkow J (eds) The adapted mind. Oxford University Press, Oxford, pp 19–136

    Google Scholar 

  • Damasio A (1994) Descartes’ error. Harper, New York

    Google Scholar 

  • Darwin C (1859) The origin of species, facsimile of the 1st edition. Harvard University Press, Cambridge

    Google Scholar 

  • Dennett D (1978) Skinner skinned. In Brainstorms. MIT Press, Cambridge, pp 53–70

  • Dennett D (1989) The intentional stance. MIT Press, Cambridge

    Google Scholar 

  • Dickinson A (1994) Instrumental conditioning. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 45–79

    Google Scholar 

  • Dickinson A, Balleine B (2000) Causal cognition and goal-directed action. In: Heyes C, Huber L (eds) The evolution of cognition. MIT Press, Cambridge, pp 185–204

    Google Scholar 

  • Fodor J (1980) Methodological solipsism considered as a research strategy in cognitive psychology. Behavioral and Brain Sciences 3:63–72

    Article  Google Scholar 

  • Fodor J (1983) The modularity of mind. MIT Press, Cambridge

    Google Scholar 

  • Forster M, Sober E (1994) How to tell when simpler, more unified, or less ad hoc theories will provide more accurate predictions. Br J Philos Sci 45:1–35

    Article  Google Scholar 

  • Gallistel C (1994) Space and time. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 221–253

    Google Scholar 

  • Gibson JJ (1979) The ecological approach to visual perception. Houghton-Mifflin, Boston

    Google Scholar 

  • Gigerenzer G, Selten R (eds) (2001) Bounded rationality: the adaptive toolbox. MIT Press, Cambridge

    Google Scholar 

  • Godfrey-Smith P (1996) Complexity and the function of mind in nature. Cambridge University Press, Cambridge

    Google Scholar 

  • Godfrey-Smith P (2001) Three kinds of adaptationism. In: Orzack S, Sober E (eds) Adaptationism and optimality. Cambridge University Press, Cambridge, pp 335–357

    Chapter  Google Scholar 

  • Gould J (2002) Can honey bees create cognitive maps? In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 41–46

    Google Scholar 

  • Grau J (2002) Learning and memory without a brain. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 77–88

    Google Scholar 

  • Hall G (1994) Pavlovian conditioning: laws of association. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 15–43

    Google Scholar 

  • Heyes C (1994) Social cognition in primates. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 281–305

    Google Scholar 

  • Krebs J, Davies N (1997) Behavioural ecology: an evolutionary perspective. Blackwell, Oxford

    Google Scholar 

  • Mackintosh NJ (1983) Conditioning and associative learning. Clarendon Press, Oxford

    Google Scholar 

  • Mackintosh NJ (1994) Animal learning and conditioning. Academic Press, San Diego

    Google Scholar 

  • Morris R (1994) The neural basis of learning with particular reference to the role of synaptic plasticity: where are we a century after cajals speculations? In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 135–183

    Google Scholar 

  • Nichols S, Stich S (2003) Mindreading. Oxford University Press, Oxford

    Book  Google Scholar 

  • Orzack S, Sober E (1994) Optimality models and the test of adaptationism. Am Natural 143:361–380

    Article  Google Scholar 

  • Pearce J (1994) Discrimination and categorization. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 109–134

    Google Scholar 

  • Piccinini G (2007) Computing mechanisms. Philos Sci 74:501–526

    Article  Google Scholar 

  • Prinz J, Barsalou LW (2000) Steering a course for embodied representation. In: Dietrich E, Markman A (eds) Cognitive dynamics: conceptual change in humans and machines. MIT Press, Cambridge, pp 51–77

    Google Scholar 

  • Rendell D, Owren M (2002) Animal vocal communications: say what? In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 307–314

    Google Scholar 

  • Rowlands M (1999) The body in mind: understanding cognitive processes. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Shapiro L (1999) Presence of mind. In: Hardcastle V (ed) Biology meets psychology: constraints, connections, conjectures. Connections, Cambridge, pp 83–98

    Google Scholar 

  • Sherman P, Reeve H, Pfennig D (1997) Recognition systems. In: Krebs J, Davies N (eds) Behavioural ecology: an evolutionary perspective. Blackwell, Oxford, pp 69–96

    Google Scholar 

  • Shettleworth S (1994) Biological approaches to the study of learning. In: Mackintosh N (ed) Animal learning and conditioning. Academic Press, San Diego, pp 185–219

    Google Scholar 

  • Shettleworth S (2002) Spatial behavior, food storing, and the modular mind. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 123–128

    Google Scholar 

  • Slobodchikoff CN (2002) Cognition and communication in prairie dogs. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 257–264

    Google Scholar 

  • Sloman S (1996) The empirical case for two systems of reasoning. Psychol Bull 119:3–22

    Article  Google Scholar 

  • Sober E (1993) Philosophy of biology. Westview Press, Boulder

    Google Scholar 

  • Sober E (1994) The adaptive advantage of learning and a priori prejudice. In From a biological point of view. Cambridge University Press, Cambridge, pp 50–70

  • Sober E (1997) Is the mind an adaptation for coping with environmental complexity? Biol Philos 12:539–550

    Article  Google Scholar 

  • Sober E (1998a) Black box inference. Br J Philos Sci 49:469–498

    Article  Google Scholar 

  • Sober E (1998b) Morgan’s Canon. In: Cummins D, Allen C (eds) The evolution of mind. Oxford University Press, Oxford, pp 224–242

    Google Scholar 

  • Sober E (2001) The principle of conservatism in cognitive ethology. In: Walsh D (ed) Naturalism, evolution, and mind. Cambridge University Press, Cambridge, pp 225–238

    Chapter  Google Scholar 

  • Sober E (2008) Evidence and evolution. Cambridge University Press, Cambridge

    Google Scholar 

  • Sober E (2009) Parsimony and models of animal minds. In: Lurz R (ed) The philosophy of animal minds. Cambridge University Press, Cambridge

    Google Scholar 

  • Sober E, Wilson DS (1998) Unto others: the evolution and psychology of unselfish behavior. Harvard University Press, Cambridge

    Google Scholar 

  • Stanovich K (1999) Who is rational? Lawrence Erlbaum, Hillsdale

    Google Scholar 

  • Sterelny K (2003a) Thought in a hostile world. Blackwell, Oxford

    Google Scholar 

  • Sterelny K (2003b) Darwinian concepts in the philosophy of mind. In: Hodge J, Radick G (eds) Cambridge companion to Darwin. Cambridge University Press, Cambridge, pp 288–309

    Chapter  Google Scholar 

  • Stich S (2009a) Reply to Egan. In: Murphy D, Bishop M (eds) Stich and his critics. Blackwell, Oxford

    Google Scholar 

  • Stich S (2009b) Reply to Godfrey-Smith. In: Murphy D, Bishop M (eds) Stich and his critics. Blackwell, Oxford

    Google Scholar 

  • Timberlake W (2002) Constructing animal cognition. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 105–114

    Google Scholar 

  • Tomasello M, Zuberbuhler K (2002) Primate vocal and gestural communication. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 293–300

    Google Scholar 

  • van Gelder T (1996) Dynamics and cognition. In: Haugeland J (ed) Mind design II. MIT Press, Cambridge, pp 421–450

    Google Scholar 

  • Walsh D (1997) Review of P, Godfrey-Smith—complexity and the function of mind in nature. Br J Philos Sci 48:613–617

    Article  Google Scholar 

  • Wehner R (1997) Sensory systems and behaviour. In: Krebs J, Davies N (eds) Behavioural ecology: an evolutionary perspective. Blackwell, Oxford, pp 19–41

    Google Scholar 

  • Whiten A (1995) When does smart behavior-reading become mind-reading? In: Carruthers P, Smith P (eds) Theories of theories of mind. Cambridge University Press, Cambridge, pp 277–292

    Google Scholar 

  • Wilcox S, Jackson R (2002) Jumping spider tricksters: deceit, predation, and cognition. In: Bekhoff M, Allen C, Burghardt G (eds) The cognitive animal. MIT Press, Cambridge, pp 27–34

    Google Scholar 

Download references

Acknowledgments

I would like to thank Elliott Sober, Dan Hausman, Larry Shapiro, Kim Sterelny and an anonymous referee of this journal for many useful remarks about previous versions of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Armin W. Schulz.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schulz, A.W. The adaptive importance of cognitive efficiency: an alternative theory of why we have beliefs and desires. Biol Philos 26, 31–50 (2011). https://doi.org/10.1007/s10539-010-9229-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10539-010-9229-z

Keywords

Navigation