Virtual Machines Aaron Sloman ([email protected]) School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK
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What Cognitive Scientists Need to Know about Virtual Machines Aaron Sloman ([email protected]) School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK Abstract Philosophers have offered metaphysical, epistemological Many people interact with a collection of man-made virtual and conceptual theories about the status of such entities, machines (VMs) every day without reflecting on what that im- for example in discussing dualism, “supervenience”, “real- plies about options open to biological evolution, and the im- ization”, mind-brain identity, epiphenomenalism and other plications for relations between mind and body. This tutorial position paper introduces some of the roles different sorts of “isms”. Many deny that non-physical events can be causes, running VMs (e.g. single function VMs, “platform” VMs) can unless they are identical with their physical realizations. play in engineering designs, including “vertical separation of Non-philosophers either avoid the issues by adopting various concerns” and suggests that biological evolution “discovered” problems that require VMs for their solution long before we forms of reductionism (if they are scientists) or talk about lev- did. This paper explains some of the unnoticed complexity in- els of explanation, or emergence, without being able to give volved in making artificial VMs possible, some of the implica- a precise account of how that is possible. I shall try to show tions for philosophical and cognitive theories about mind-brain supervenience and some options for design of cognitive archi- how recent solutions to engineering problems produce a kind tectures with self-monitoring and self-control. of emergence that can be called “mechanism supervenience”, Keywords: virtual machine; virtual machine supervenience; and conjecture that biological evolution produced similar so- causation; counterfactuals; evolution; self-monitoring; self- lutions.1 Moore (1903) introduced the idea of supervenience. control; epigenesis; nature-nurture; mind-body; Davidson (1970) transferred it from ethics to the context of mind/body relations, inspiring much subsequent discussion, 1. Introduction e.g. (Kim, 1993, 1998). Space limits rule out discussing re- Two concepts of a “virtual machine” (VM), have been devel- lations between “supervenience” and “realization”. A useful oped in the last half century to aid the theoretical understand- introduction is in the Stanford Encyclopedia of Philosophy, ing of computational systems and to solve engineering design though it ignores the engineering (computing) examples. problems. The first, Abstract virtual machine (AVM), refers Several varieties of supervenience can be distinguished: to an abstract specification of a type of system, e.g. a Turing • property supervenience: (e.g. having a certain temperature su- machine, a Universal Turing machine, the Intel pentium, or pervenes on having molecules with a certain kinetic energy); the virtual machine defined by a language or operating sys- • pattern supervenience: (e.g., supervenience of various horizon- tem, e.g. the Java VM, the Prolog VM, the SOAR VM, the tal, vertical and diagonal rows of dots on a rectangular array of dots, or the supervenience of a rotating square on changes in the Linux VM, etc. An AVM is an abstract object that can be pixel matrix of a computer screen); studied mathematically, e.g. to show that one AVM can be • mereological, or agglomeration, supervenience: possession of modelled in another, or to investigate complexity issues. some feature by a whole as the result of a summation of features The second concept refers to a running instance of a VM of parts (e.g. supervenience of the centre of mass of a rock on the masses and locations of its parts, each with its own mass); (Running virtual machine, RVM), e.g. the chess RVM against which an individual is playing a game at a certain time, the • mathematical supervenience: e.g. Euclidean geometry can be modelled in arithmetic, using Cartesian coordinates, and in that editor RVM I am using to type these words, the Linux RVM sense geometry supervenes on arithmetic. running on my computer, the networked file-system RVM in • mechanism supervenience: supervenience of one machine on our department and the internet – a massive RVM composed another: a set of interacting objects, states, events and processes of many smaller RVMs, instantiating many different AVMs. supervenes on a lower level reality (e.g., supervenience of a run- The RVM concept has deep features that have not been ning operating system on the computer hardware). widely recognized, or adequately described. Importantly dif- This paper is about mechanism supervenience, relating ferent sub-cases are defined below, e.g. specific VMs (SVMs) RVMs with PMs. It is not concerned with the simple case and platform VMs (PVMs). I conjecture that biological evo- of how one property, pattern, or entity relates to others, but lution “discovered” some of the problems for which different with how a complex ontology (collection of diverse entities, sorts of VM are solutions long before we did and produced events, processes, states, with many properties, relationships designs for RVMs whose functions we need to understand and causal interactions) relates to another ontology. It could better. Moreover, understanding relations between these VMs also be called “ontology supervenience”, or perhaps “ontol- and the underlying physical machines (PMs) in which they ogy instance supervenience”. Davidson described superve- are implemented can help to clear up some old philosophical nience as a relation between properties or “respects”, whereas problems and pose new ones, including problems about men- mechanism supervenience involves a relation between inter- tal causation. This will add clarity and precision (including acting parts and relations of complex ontology-instances, not engineering design information) to the closely related pair of just properties. A single object with a property that super- concepts “realization” and “supervenience”, and can provide venes on some other property is a very simple special case. new insights into old puzzles about emergence and the exis- tence and causal efficacy of non-physical states and processes 1See http://www.cs.bham.ac.uk/research/projects/cogaff/09.html#vms e.g. mental and socio-economic states and processes. for more details than this conference paper can include. 2. What Is a Machine? transferred to a new PM, and the old PM destroyed, but no A machine is a complex enduring entity with a (possibly RVM can work without being implemented in a PM. A more changing) set of parts that interact causally with one another complete discussion (Sloman, 1978, Ch. 6) would show that and/or with the machine’s environment. The interactions may human-like RVMs are implemented partly in the physical en- be discrete or continuous, sequential or concurrent. Different vironment (e.g. extending short term memories) and partly in parts of the machine, e.g. different sensors and effectors, may other people, e.g. needed for reference to remote events and interact with different parts of the environment concurrently. places (as P.F. Strawson showed), and for use of concepts like The machine may treat parts of itself as parts of the environ- ‘date’, ‘country’, ‘money’, ‘crime’, ‘fame’, etc. ment (during self-monitoring), and parts of the environment as parts of itself, e.g. tools, or diagrams (Sloman, 1978, Ch 2.0.2 Not All RVMs Are Computer-based 6&7). The machine may be fully describable using concepts Things mentioned in gossip, political debate, novels, plays, of the physical sciences (plus mathematics), in which case it social sciences, etc., include RVMs, even though the label is a physical machine (PM). Examples include gear mecha- “machine” is unusual in this context. Such RVMs are in- nisms, clouds, electric motors, tornadoes, plate tectonic sys- volved in many causal interactions: e.g. jealousy can cause tems, and molecular machines in organisms. Many machines weeping, poverty can cause crime, and crime can cause mis- manipulate only matter and energy, whereas some, including ery. There are socio-economic NPDMs implemented (partly) biological organisms, manipulate information (often in order in running mental VMs, implemented partly in brains and to control manipulation of matter and energy). partly in aspects of the physical environment. These enti- ties and their causal interactions, properties, relations, struc- 2.0.1 Not All Machines Are Physical Machines tures, states, events, and processes, are accurately describ- Some information-processing machines have states, pro- able only by using concepts that are not physically definable, cesses and interactions whose best descriptions use concepts even though the mechanisms are implemented (ultimately) in that cannot be defined in terms of those of the physical sci- PMs. Neural mechanisms appear to be VMs implemented ences, e.g. “inferring”, “checking spelling”, “playing chess”, in physical/chemical machines. Chemical processes can be “winning”, “threat”, “strategy”, “desire”. “belief”, “plan”, viewed as running VMs, whose entities, states, processes, “crime”, and “economic recession”. There is no space to de- and causal interactions are “fully implemented” in lower fend the indefinability claim here, though many will find it level PMs. Physics itself has layers, including common- obvious. Examples of Non Physically Describable Machines sense physics of billiard ball interactions, implemented in the (NPDMs) include