*WORKSHOP ON “MECHANISMS AND LEVELS OF EXPLANATION IN COGNITIVE SCIENCE”*

*Hosted by the Department of Philosophy and the Macquarie Centre for
Cognitive Science, Macquarie University*

* *

Location: Meeting Room 248, Macquarie Graduate School of Management (MGSM)
Conference Centre, Macquarie University, 99 Talavera Rd, Macquarie Park



This is building E12A on the campus map, which is downloadable from:

http://www.ofm.mq.edu.au/maps_campus.htm



*PROGRAMME*

*Thursday 16 December 2010*



9.15am-9.30am: Welcome and Preliminaries



9.30am-11.00am: Keynote Speaker: Bill Bechtel (UCSD): “Dynamic Modules”



11.00am-11.30am: Morning Tea



11.30am-12.30pm: Jon Opie (Adelaide): “Is There a Cognitive level?’



12.30pm-1.00pm: Lise Marie Andersen (Macquarie): “Top-Down Causation and
Mechanistic Levels”



1.00pm-2.00pm: Lunch



2:00pm-3.00pm: Paul Griffiths (Sydney & Essex): “Reductive Explanation and
Explanatory Force”



3.00pm-4.00pm: Patrick McGivern (Wollongong): “Levels in Physics and in
Cognitive Science”



4.00pm-4.30pm: Afternoon Tea



4.30pm-5.30pm: Karola Stotz (Sydney): “How (not) to be a Reductionist in a
Non-reducible Universe”





*Friday 17 December  2010*



9.30am-10.30am: John Sutton (Macquarie): “Going Down and Out: Mechanisms,
Plasticity, and Scaffolding in the Sciences of Memory”



10.30am-11.00am: Kellie Williamson (Macquarie): “From Molecules to Poetry
Groups: A Thoroughly Mechanistic Account”



11.00am-11.30am: Morning Tea



11.30am-12.30pm: Dominic Murphy (Sydney): “Spanning Organism and
Environment:



12.30pm-2.00pm: Lunch



2.00pm-3.00pm: Brian Keeley (Pitzer): “Sensory Mechanisms”



3.00pm-4.00pm: Jakob Hohwy (Monash): “The Free Energy Principle: a Unifying
Explanatory Mechanism for the Mind”



4.00pm-4.30pm: Afternoon Tea



4.30pm-5.30pm: Peter Menzies (Macquarie): “Mechanisms and Modularity: An
Interventionist Approach”





*NOTES*:

1. The workshop is open to the public but space at the workshop will be
limited to 55 people. There is now space for only 4 more people unless some
people drop out. If you would like to attend the workshop, please contact
Kellie Williamson ([email protected]) as soon as possible.

2. If you have already notified Kellie of your intention to attend, there is
no need to contact her again. However, if you have said that you would
attend and have now changed your mind, please inform Kellie of your change
of mind.

3. For information about public transport to the Macquarie University
campus, see the website http://www.mq.edu.au/transport/

4. There is free parking in the MGSM car park for those participating in
workshops in the MGSM facilities. Announce that you are attending the
workshop at the gates to the Talavera Rd entrance to the MGSM.

5. Please direct all queries to Kellie Williamson at the email address
above.





 *ABSTRACTS*

**
*

(1) Bill Bechtel: Dynamic Modules

The notion of a module is invoked in a wide range of disciplines from
molecular and evolutionary biology to cognitive science. The specific
conception of what a module is differs between fields and theorists, but a
common element is that modules are relatively stable parts of mechanisms
that regularly function in the same way so that they can be investigated
under a variety of conditions. As such, they are the building blocks of
mechanisms: mechanistic research strategies seek to characterize the modules
that perform operations within in the mechanism in regular, constant terms.
This puts the various research strategies that investigate mechanisms in
tension with the emerging systems’ perspectives in numerous disciplines that
emphasize the complex dynamics exhibited in such systems. The dynamical
activity within networks is generally viewed as altering the operation of
individual constituents within the system. Integrating dynamic and
mechanistic explanatory perspectives (in what Abrahamsen and I call dynamic
mechanistic explanations) requires understanding modules as dynamically
changing. I identify a process of scientific discovery in which modules
conceived statically provide a first approximation that is further
elaborated into accounts that understand them dynamically.



(2) Jon Opie: Is There a Cognitive Level?

I will explore a number of senses in which there might be a cognitive level
of explanation. All but the mechanistic approach to levels pioneered by
William Bechteland Carl Craver will be found wanting. But this approach to
levels call for a serious rethink of our ontological commitments.

-

(3) Lise Marie Andersen: Top-Down Causation and Mechanistic Levels

Craver and Bechtel advocate a mechanistic conception of levels and argue
that in light of this conception top-down causation becomes impossible. They
then go on to argue that standard cases of top-down causation can be
explained as cases of mechanistically mediated effects. I discuss and
question their approach to the issue of top-down causation.



(4) Paul Griffiths: Reductive Explanation and Explanatory Force

J.J.C Smart (1959) argued that biology is a form of engineering. Biology
uses physics and chemistry to explain the working of specific mechanisms,
albeit naturally occurring ones. Marcel Weber (2005) has christened this
‘explanatory heteronomy’: the force of biological explanations comes from
physical laws. He describes this as a form of reductionism. I examine his
assumptions about how the force of an explanation ‘distributes’ over its
components and argue that the force of typical biological explanations
derives from their distinctively biological initial and boundary conditions,
not the laws that operate within them.



(5) Patrick McGivern: Levels in Physics and in Cognitive Science

While work on levels of explanation in the cognitive sciences has focused on
the role of mechanisms in understanding relationships between different
levels, recent work in philosophy of physics has emphasized the role of
limit relations between theories in

answering similar questions.  Since cognitive systems are physical systems,
we might expect the account of levels in physics to generate an account of
levels in cognitive science as well.  However, the two ways of understanding
levels, reduction, emergence, and related concepts seem quite different, and
it’s not clear how the one could have any significant contact with the
other.  In this paper, I’ll examine the prospects for bridging the gap
between levels in physics and levels in cognitive science.
**



(6) Karola Stotz: How (not) to be a reductionist in a non-reducible universe

Part-whole reductions are constitutive, not causal relations that attempt to
explain the whole in terms of its intrinsic and fundamental parts and their
relations. However, very rarely in biology, and often even in physics and
chemistry, are these explanations achieved. What co-specifies the behavior
of the components of a system and their relationship is the contingent
system-level context, which cannot be reduced to parts that are either
intrinsic or fundamental to the system to be explained. Open systems, in
virtue of being integrated into more complex systems, can never be explained
by their initial intrinsic constraints alone. Such downward effects from
external boundary conditions or constraints have been thought to contradict
Kim’s Principle of Completeness or Causal Closure of Physics. This arrogant
metaphysical claim, however, rests on a mistaken God’s Eye view rather than
scientifically verifiable facts; there is no complete description of the
physical world. Already in physics we see the emergence of some fundamental
principles, such as organization or collective behavior, that are
independent and transcendent of the laws of quantum mechanics, and which
govern most of real-world phenomena. Therefore the above claim needs to be
countered by the Causal Incompletenss Principle. Using some examples from
postgenomic biology I argue that a reductionist investigative strategy needs
to complemented with an antireductionist, integrative explanatory strategy.

(7) John Sutton: Going Down and Out: Mechanisms, Plasticity, and Scaffolding
in the Science of Memory

William Bechtel rightly criticizes certain psychological models of memory
which are insufficiently dynamic or constructivist, and seeks a positive
account which avoids both ruthless molecular reductionism and merely
phenomenal decomposition. This talk puts some friendly questions to his
account. I query the way Bechteldeploys disputes between systems theories
and process theories in the psychology of memory, then suggest that the
plasticity and interactivity of neural systems may pose more of a threat to
the strategy of localization and decomposition than he acknowledges. I
challenge the assumption that the radically constructive nature of memory is
in tension with memory's reliability, and suggest that social or other
external scaffolding often complements dynamic and unstable neural memory
processes. Bechtel agrees that in mechanistic explanation we need to look
around and up as well as down at the components: using examples from the
study of cognitive reserve in buffering against memory impairments, I argue
that the sciences of memory require yet more attention than he recommends to
patterns in the contextual situations within which memory mechanisms
operate.

(8) Kellie Williamson: From Molecules to Poetry Groups: A Thoroughly
Mechanistic Account

This talk is a response to two very different reductionists: John Bickle and
Rob Rupert. It culminates in a defence and extension of mechanism across a
variety of disciplines concerned with cognition. I examine Bickle’s use of
data on Long-Term Potentiation and argue that the processes underpinning
memory consolidation are mechanistic. Moving on from cellular and molecular
neuroscience, I argue that in some situations groups of individuals form
distributed cognitive systems that can be understood mechanistically. By
characterising groups as organised wholes it is possible to overcome
Rupert’s objection to positing group mental states. The upshot is that
mechanisms and mechanistic explanation can be found not just in the
biological and neurosciences but also in the social sciences.

(9) Dominic Murphy: Spanning Organism and Environment

Appeals to levels of explanation work well as a strategy in cases where our
concern is with processes going on within a system. We bet  that processes
at one level realize or constitute processes at other levels. But in many
cases we need to relate different sorts of causal processes where that bet
is not plausible, especially in cases where explanations combine
environmental factors with others that unfold within an organism. I shall
argue that for most cases in the cognitive sciences levels talk is probably
not much use, and look at some alternative ways of thinking, including
appeals to mechanisms and to manipulationst theories.



(10) Brian Keeley: Sensory Mechanisms

 One place where understanding mechanisms comes in very handy is sensory
neurobiology.  Here, much effort is spent trying to figure exactly how
organisms are engaged with their worlds, especially when dealing with
non-human or other unusual senses (pheromones, electroreception,
magnetoreception, etc.) How exactly is the process of transduction—the
conversion of physical properties external to the nervous system into
electrical potentials in the brain—carried out? In this paper, I will
consider a number of problem cases that arise in this. For example, how
should different mechanisms in different organisms be compared? How should
sensory mechanisms be analyzed in order to determine whether we are looking
at a case of convergent evolution? How much do we need to know about the
physical realization of a sensory mechanism to declare that we've determined
the presence of a sense? Finally, what philosophical understanding of the
relationship between higher and lower levels of scientific explanation are
required to make sense of such cases?



(11) Jakob Hohwy: The Free Energy Principle: A Unifying Explanatory
Mechanism for the Mind

The free energy principle proposes that the brain is fundamentally an
instrument for minimising surprising inputs from the environment. I
introduce the principle and provide examples of empirical research
supporting it. The principle is supposed to have

extreme explanatory reach and unifying power: it allows us to understand the
nature of perception, agency and attention, and in doing so it demonstrates
how they are all aspects of the same type of mechanism. I discuss how the
free energy principle dictates a replication of the same type of neuronal
mechanism throughout levels of the cortical hierarchy and how this uniform
architecture can play different explanatory roles.



(12) Peter Menzies: Mechanisms and Modularity: An Interventionist Approach

The paper critically examines Carl Craver’s account of mechanism, arguing
that it does not satisfactorily capture the causal structure of mechanism.
The paper uses an interventionist approach to causation to offer a
definition of a mechanism in which a modularity requirement plays an
important role. The paper considers how this account of mechanism
illuminates aspects of mechanistic explanation in cognitive psychology.
*
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