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Volume 05 of W. Ross Ashby's Journal
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1941
Volume 05
0970+03 0970+04
0970+05 0970+06
Summary: A higher level must usually change more slowly than a lower level, in order that the lower level may be given time to catch its neutral point.
Dominance and velocity
Independence and velocity
Parameter if not known
Probability of parameter
Summary: If, from a given system, we remove knowledge of a variable, we must introduce probability to replace it. (But see next paragraph)
0971 0972
Stimulus probability distribution of
Summary: If initial conditions are unknown we must replace them with probability.
Problems mine
Statistical mechanics
0973 0974
Memory potential memory
Organisation and memory
Summary: The idea is suggested that the old memories, as organisations, may be present implicitly rather than explicitly.
Environment in parts
0975 0976
Summary: The lower animals, at any rate, with their environment may be much simplified for our purpose by noting that one animal may be considered to be split into several, or many, parts, each of which has its own environment. So animal and environment = several machines, not one.
Dominance and velocity
Equilibrium of organisations
Independence and velocity
Levels mechanism of
Organisation stable
0977 0978
Dominance chain of
Organisation chain of organisations
0979 0980
Organisation number of parameters
Parameter number of
Summary: We have discussed the situation: p's dominate x's, and x's dominate y's. Under these conditions we can get a stability of organisation. Also we can get y-point in y-space moving twice through the same point in different directions. If the x's react rapidly they will tend to disappear functionally. A succession of such gives transmission through a series of organisations. If one level has only a few, or a single, variable this introduces an essential simplicity into all subsequent levels. A large organisation may be 'simple' because it depends on only one or a few parameters.
Equilibrium of organisations
Organisation exploring organisation
Oddments [11]: Stability of organisation 0982, examples 0701, 0606.
0981 0982
Summary: Details are given showing that it is possible to explore, experimentally, a given field or organisation. To do this parameters are necessary, and it may be necessary to introduce new ones not mentioned before.
Field (of substitution) exploring
Organisation number of parameters
Society [12]: Organisation has two complexities: number of variables and number of parameters, 0984. In man-made machines, 1054.
0983 0984
Summary: An organisation with n variables and m parameters has two separate complexities. Subject to conditions, m describes the number of coordinates in the space in which the neutral point moves, when m=n we have a 'transative' state.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) control of
Dependence test for
Dominance test for
Independence test for
Substitution (mathematical) reducibility
0985 0986
Summary: A (better) restatement of the theorem of 680.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) in differential equation
Substitution (mathematical) as differential equation
0987 0988
Summary: Mathematical definition and test is given for 'neutral point' and 'neutral cycle' when the substitution is given as a differentil equation. (Actual example next paragraph).
Summary: An example of neutral cycle in a differential equation is given.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) examples
0989 0990
Break and step-function
Break example
Organisation break of
Substitution (mathematical) break and
0991 0992
0993 0994
Summary: A break may be treated as a mere incident in the development (in time) of one machine. Also one machine may be considered as split into two parts with a break between if one of the variables is a step-function of the time (see next paragraph). A break is a change of organisation. Changes of organisation have two causes: (1) Due to conditions outside the machine, which are arbitary parameter changes, and are my doing. (2) Due to conditions inside the machine - a break if we ignore the cause.
Step function defined
0995 0996
Substitution (mathematical) step-function in
0997 0998
Environment step-functions in
Personal notes [23]: Re-read my notes completely from page 1000 on, 4606.
Personal notes [29]: Notes re-read from p. 1000 in Feb '57 5536.
0999 1000
Break definition
Organisation break
Parameter and break
1001 1002
Break surface
Critical surface if not related to essential variables
Summary: "Step-function" is defined. An analytic formula given for one. If a function in a substitution is a step function of the variables, the corresponding variable in the solved equations is a step-function of the time. The effect in a field of a step-function is discussed, The essential conditions for a break are a cloud of dots, each of which has a number associated with it saying "change one of the step-functions to this new value" and not a surface as suggested on 898.
1003 1004
Environment for survival
Probability of survival
Survival by-product
Death achieved
Intelligence is blind
1005 1006
1007 1008
Summary: (1) Brain activity will sometimes conduct an animal, with great ingenuity, to its death. (2) Survival is a by-product of brain activity.
Summary: It is agreed, with 928, that a reversible system is of no interest from our point of view and does not exist in nature anyway.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) effect of change of parameter
Organisation irreversible
Parameter and neutral point
Summary: We show how to calculate the shift of a neutral point for a small change of parameter when the substitution is given as differential equations, (if finite substitution 927) (if several parameters, 1023)
Parameter changes of state of equilibrium
1009 1010
Operator and movement
1011 1012
1013 1014
Summary: The general principle of "pressures", that difference means movement, suggests a method of combining sustitutions, or stimuli, to form a "product". If the number of parameters is greater than the number of variables, this product exists always, and powers are associative. The inverse in not unique. But the whole suggests a way in which groups might get in.
1015 1016
Break surface interaction of
Summary: In general, after a break has occurred due to the x- point touching a break point, not only the field changes but also the break points.
1017 1018
Step function all linear functions of one
Summary: All step-functions can be expressed as a linear function of one basic step-function, stp (x), "step-x", here defined. (Not true)
1019 1020
Critical surface if not related to essential variables
Neutral point (of equilibrium - including 'cycle', 'region' etc.) examples
Summary: The behaviour of break-surfaces.
1021 1022
Summary: Another example of the conclusion of 1006.
Brain fundamental function
Death achieved
Neutral point (of equilibrium - including 'cycle', 'region' etc.) effect of change of parameter
Parameter and neutral point
Survival by-product
Summary: Equations are given for determining the shift in a neutral point if several parameters are altered a little. The change in each coordinate is a linear function of the changes of parameters.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) examples
1023 1024
Summary: A carefully calculated field is given, with four neutral points. Useful for experimenting. (Others are on 817, 828, 839, 885, 941, 990, 1021)
Break example
Break surface interaction of
1025 1026
Critical surface if not related to essential variables
Critical surface interactions
Summary: An example is given, in all detail, of a substitution with two step-functions. It confirms the theorum of 1021. The existence of "false neutral points" is noted.
Neutral point (of equilibrium - including 'cycle', 'region' etc.) "false"
1027 1028
Step function collected properties
1029 1030
1031 1032
1033 1034
1035 1036
Summary: A much better statement is given of the idea of varying patterns of dominance etc in a system.
Summary: "Break" does not involve "irreversibility".
Break definition
Dominance varying
Reversible process breaks
1037 1038
Break equations for
1039 1040
Summary: In the specification of a system with step-functions present, the latter cannot be specified by differential equation form. It seems that our equations for the system must be in form { dxi/dt = fi(x;y), y'i = ai+bistp{Vi(x;y)} } or { xi = Fi(x0;y;t), y'i = ai+bistp{Vi(x;y)} }. And as these define the future behaviour of the x's, and as in any case they can usually be solved only numerically, we might as well leave them in this state. (Compare 1048) (Better 1086)
Step function in differential equations
1041 1042
Summary: Later we shall have to show how we can break down the minute rigidity of our dynamic systems, where the minutest change has to be put in and may lead to something profoundly different. Suggested way of doing it.
Break surface no free edge
Critical surface has no free edge
Summary: The V-surface of a step-function cannot have a free edge.
Group (mathematical) finite continuous
1043 1044
Summary: Substitutions may, perhaps, define an infinite continuous group.
Summary: "Simplicity", "wholeness", etc are perhaps clarified by the discussion above.
Simplicity meaning of
1045 1046
Summary: The idea that "orderliness" or "intelligence" spreads like crystallisation is probably covered more correctly by the more precise idea that it is "reaching neutral point and stopping still" which spreads along a chain of dominance.
Break equations for
Dominance chain of
Equilibrium spread of
Organisation spread of
Step function in differential equations
1047 1048
1049 1050
Summary: Differential equations with step-functions are fundamentally unsolvable.
Adaptation by break
Break and adaptation
1051 1052
Summary: The concept of "breaks" by itself is not sufficient to cause any emergence of adaptation or intelligence. Brain, i.e. a machine of particular type, is necessary. (See 1063)
Adaptation brain necessary
Brain necessary
Intelligence brain necessary
Break in machine
Organisation in machinery, examples
Society [12]: Organisation has two complexities: number of variables and number of parameters, 0984. In man-made machines, 1054.
1053 1054
Summary: Examples are given in ordinary machinery of "change of organisation" and "break". Both are rare.
Summary: Our definition of "dominance" of 960 is correct. See 1077 for a fuller survey.
Dominance definition
1055 1056
Summary: The idea of a system, like the brain, altering its own organisation necessarily implies the presence of step-functions and breaks.
Break to change organisation
Organisation self change = break
1057 1058
Summary: One stage in our long journey is finished and solved: the 'exact' case, i.e. an organisation where we are given full and exact information about every little detail.
Differential equation and linear partial differential equations
Group (mathematical) and isomorphism
Isomorphism ? group necessary
1059 1060
Summary: It is shown conclusively that "isomorphism" does not necessarily imply "group".
Organisation properties different from parts
Oddments [9]: Properties of organisation may be quite different from those of the parts: 1061 (wheel rolling, temperature of gas, etc).
Summary: Some examples are given showing how a statement may be quite true about the whole and yet quite untrue of all the parts.
1061 1062
Adaptation by break
Brain essentials of
Break and adaptation
Summary: Although a general system has no tendency to survival by adaptive behaviour, yet a "brain" has. Details are given. (see 1068)
Organisation two meanings united
1063 1064
Summary: A definition of 'organisation' is given which covers both dynamic, machine, organisations, and static, pattern ones.
Organisation definition
Summary: An "organisation", by the definition of the previous page, need not be a group.
Group (mathematical) and organisation
Organisation in group
1065 1066
Summary: Formulae are given in the special case where one variable always moves towards some function of the other variables.
Operator special
Adaptation by break
Break and adaptation
1067 1068
1069 1070
1071 1072
1942
Summary: Actual equations are constructed giving the theoretical views of the nervous system in mathematical form. (See 1092)
Adaptation References
Break and change of neutral point
Equilibrium range of
Neutral point (of equilibrium - including 'cycle', 'region' etc.) choice of several
1073 1074
1075 1076
Summary: A discussion is given of the meaning of the "change of organisation" (if any) which occurs when a system settles at a new neutral point without change of the field. i.e. a variable, without change of field, going outside the "range of stability" of one neutral point. A complete clarification is given, together with its relation to my previous ideas of "breaks".
Dominance definition
Organisation change of neutral point
Substitution (mathematical) dominance in
Substitution (mathematical) 'dependance' in
1077 1078
Matrix of organisation
Organisation matrix of organisation
1079 1080
Parameter definition
1081 1082
Summary: The question of "dominance" is still further clarified. I define "immediate", "distant" and "ultimate" dependance. Also "completed matrix of an organisation". "Dominance" (two equivalent definitions). "Parameter" is defined as "dominant and constant". It is proved that if a dominates b, and b dominates c, then a dominates c.
Break continuous approximation
Step function eqivalent continuous form
Substitution (mathematical) change to differantial equation form
1083 1084
Summary: A method is given for changing the abrupt h'=... method of defining a break to an equivalent dh/dt method. This puts the whole system into ordinary differential equation form. The equations are in "normal" form.
1085 1086
Break example
Organisation break
1087 1088
Summary: An example of a break is given in substitution form, like 991.
1089 1090
Congruence
Equilibrium defines a 'thing'
Equilibrium essential definition
Field (of substitution) nomenclature
Summary: "Equilibrium" means not moving out of a given region. (But see 1143)
1091 1092
Break surface further properties
1093 1094
Summary: "Break-surfaces" are examined and some properties noted.
Break surface layers of, protect variable
Organisation break
1095 1096
Summary: A statement is given of the theorem that a multilayer of break surfaces "encourages" the representative point to stay in that region.
1097 1098
Summary: It might be suggested that with a million neurons the chance of getting them all properly adjusted is negligibly small. The answer is that there is usually no such thing as the right solution. We count as suitable any organisation whatsoever so long as it gets the equilibrium where we want it.
Organisation no "right"
Summary: After studying the fixed points in a dynamic world (i.e. neutral points) I presume the next step would be to take a lot of neutral points and set them moving.
Equilibrium change of
1099 1100
Break surface layers of, protect variable, also dependant
Summary: A layer of break surfaces keeps within bounds not only the variables concerned, but any other variable which is a direct function of them.
Variable central, protection of
1101 1102
Variable deputising
1103 1104
Summary: A variable may add further break-surfaces for its further protection by deputising, i.e. by controlling another variable so that the latter breaks if the first goes too far. And this leads to the important observation that it does not matter where or why a break occurs as long as it occurs. From my point of view, all that is wanted is some change of organisation and it doesn't matter how or why it is done. Any change is as good as any other change.
Organisation joining two organisations
1105 1106
Parameter for joining two machines
Organisation splitting into parts
1107 1108
Summary: We discover how to join and unjoin two machines. Also we notice that if a machine is at a neutral point it is possible, under restricted conditions, to separate and rejoin without disturbing the state of equilibrium.
1109 1110
Summary: A red letter day. A problem in the application to the brain is solved.
Environment several
1111 1112
Summary: If a machine with variables x has break-variables h with V-surfaces which surround an x region, and if we join this to any machine y, then the presence of the h's and the V's will tend to keep the x's within the V-region. And when the machine has settled to equilibrium, disconnecting the machine y and putting on another one, z (or changing parameters R) merely starts the x-machine changing its organisation again until it has found a new equilibrium, with the x's still inside the V-region. O.K., O.K!
1113 1114
Equilibrium list of examples
1115 1116
Summary: A list of examples of equilibrium in biology.
1117 1118
Equilibrium to two environments
Reflex, conditioned and break-theory
1119 1120
Summary: If two environments keep occurring, a system will break till it finds an organisation making it stable to both.
Reactions two basic types of
1121 1122
Summary: "Reaction" is divided into "response" and "variation".
Summary: The intrinsic form of a substitution might prove interesting.
Break as variation
Conscious mind and intrinsic equations
Organisation change = variation
Organisation intrinsic equation
Reactions response ? variation
Subjective and intrinsic equations
Substitution (mathematical) intrinsic equation
Delay (in substitution) and sub-wholes
Organisation degree of
1123 1124
1125 1126
Summary: It is concluded that if a whole is to be (almost) separated into two parts, the variables concerned at the "join" must be (almost) constant. Delay is not an important factor.
Summary: After all these years I conclude that "vectors" are not what I want.
Balance on bicycle
Bicycle
1127 1128
1129 1130
Invariant
Summary: Some musings on bicycle riding.
Environment infinity of
Organisation [anduls] irritant
1131 1132
Matrix of organisation
Organisation splitting into parts
Summary: Preliminary discussion of a machine falling, temporarily, into parts.
1133 1134
Summary: We want to get adaptation on a scale, so that we can show that systems, under certain conditions, will move from lesser to greater adaptation.
Adaptation growing
Summary: A statement of my present emotional position.
Affect of my problem
1135 1136
Equilibrium partial
Adaptation partial
1137 1138
Summary: If an organisation stops at a field which is only partly stable this does not really matter; for if the danger of breaking is large, it will soon break and try new fields, while if the danger is small then there is little to worry about.
Break number of
Organisation number of
1139 1140
Summary: n breaks provide 2n organisations. To give 10 different organisations every second throughout a man's life we need only 35 breaks!
Break surface causes fresh start
Learning upsets everything
Reactions new upsets old
Summary: Does the acquisition of a new reaction upset all the older one's as demanded by my theory? The answer seems to be "yes" but it may in some cases be of zero extent.
Reflex, conditioned and break-theory
1141 1142
Summary: Each single environment is a (hyper) complex number.
Environment as complex number
1143 1144
1145 1146
Summary: The definition of "equilibrium" is taken up from 1092, and made much more precise. It is concluded that it belongs to a path A special type of common occurrence is defined and given the name of "normal" equilibrium.
Equilibrium "normal"
Equilibrium essential definition
1147 1148
Organisation one or two?
Organisation splitting into parts
1149 1150
1151 1152
Summary: (1) Changing coordinates in two machines is apt to make one of them. (2) Changing to normal coordinates splits a machine into independent parts. (Cf. 3868)
1153 1154
Summary: A review of Jennings' book.
Organisation of organisations
Summary: The "constants" i.e. variables whose changes make observed behaviour may themselves be activities composed of other variables. And these "constants" whose changes make.... This needs specifying from the organisational point of view. (See 1193)
Machine definition
Organisation definition
1155 1156
Summary: A refinement of the definition of "organisation".
Summary: "Memory" equals change of organisation.
Memory as break
Organisation and memory
Summary: "Adapted" behaviour equals the behaviour of any system around a point of normal equilibrium. (1148)
Adaptation is equilibrium
1157 1158
Summary: All my theory explains the "trial and error" method in terms of non-living matter. All that, but nothing more.
Equilibrium Courant's definition
Summary: Courant's definition of equilibrium. On closer reading, as R and ρ may be small to any degree, it appears that Courant's definition does not allow finite cycles like that of 1144.
1159 1160
1161 1162
1162+01 1162+02
1163 1164
1165 1166
1167 1168
1168+01 1168+02
1169 1170
1171 1172
Summary: The sheets give the mathematical theory up to about Oct '42; but, of cource, not at all completely.
1173 1174
Break surface further properties
Critical surface if not related to essential variables
Summary: A clarification of the concept of a "break-surface".
Summary: The conditioned reflex is not clear yet.
Reflex, conditioned and break-theory
1175 1176
1176+01 1176+02

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