Copyright (c) 2013 John L. Jerz

Systems Theory in the Social Sciences (Bossel, Klaczko, Muller, 1976)

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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
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Stochastic and Control Systems - Pattern Recognition - Fuzzy Analysis - Simulation - Behavioral Models

BosselInformationProcessingCognitiveDissonance.JPG

behavior must be governed by a relatively limited set of basic procedures and principles shared by all. If these basic procedures and principles were better known, the validity and accuracy of computer simulations of social systems could be much improved; one would better be able to separate behaviorally unlikely from behaviorally likely scenarios and system responses.

[Part 5 Introduction]
 
p.422 In this part we present overall modelling concepts, and separate behavioral components which must be integrated into attempts to model behavior... H. Bossel, and engineer and systems analyst, presents a comprehensive concept for the modelling of social behavior... This approach views social or political behavior as the result of information processing sequences of interacting (often abstract) decision-making systems which orient their decisions by reference to fundamental operational requirements (basic needs) and by the drive to reduce or remove cognitive dissonance. [JLJ - so can we approach the concept of a machine playing a game. This could actually be the central hypothesis of A Proposed Heuristic...]
 
[pp.423-472 Information Processing, Cognitive Dissonance, and Basic Needs: The Modelling of Behavior, Bossel]
 
p.423 A major drawback of current simulation models of social systems is their lack of an adequate representation of behavioral aspects.
 
p.423 even in new and strange situations never encountered before, we usually have a fair knowledge of what to expect of ourselves and others. From this one can only draw the conclusion that behavior must be governed by a relatively limited set of basic procedures and principles shared by all. If these basic procedures and principles were better known, the validity and accuracy of computer simulations of social systems could be much improved; one would better be able to separate behaviorally unlikely from behaviorally likely scenarios and system responses.
 
p.423-424 The present paper presents a framework for the modelling of individual and social behavior based on the four fundamental hypotheses that
- Behavior is the result of a complex information processing sequence whose basic structure is identical across systems;
 
- the composite behavior of societal systems can be properly approximated by the interaction of a few dominant, often abstract, decision-making systems;
 
- behavior is governed by reference to a set of basic needs, whose basic dimensions are identical across systems;
 
- the processes determining behavior are driven mainly by mechanisms of cognitive dissonance removal.
p.424 The major objective of the present research is the development of general computer programs which permit a reasonably accurate description of the interactive behavior of two (or more) nation-actors, given the specific initial and boundary data. This objective must be achieved with a minimum of complexity but without sacrifice of any essential features. [JLJ - this research conceptually could be applied to a machine playing a game.]
 
p.427 Our approach views the dynamic processes in society as outcomes of the behavior of interacting decision-makers. Behavior itself is seen as the end result of information processing guided by a normative reference system, and driven by the motivation for cognitive dissonance reduction.
 
p.428 The motivation for the removal of cognitive dissonance is assumed to be the central driving force in all information processing concerning behavior... in the perception process... in the state analysis... and in policy synthesis.
 
p.429 In an on-going process of state analysis, the perceived system state is constantly or periodically being compared to the (changing) normative reference state. The state analysis generates a cognitive dissonance vector with respect to those system needs and environmental and system state variables which currently lead to system dissatisfaction, and may thus indicate a need for decision and action.
 
p.429-430 The perceived state vector and the dissonance vector guide the policy synthesis process... the policy synthesis process must be guided by heuristic principles and programs... Trial policies are evaluated for their likely present and future impact by applying them to an internal model of the environment... The model is normally relatively crude and incomplete and requires constant readjustment through learning. [JLJ - or perhaps, as suggested by John Boyd, as the emergence of novelty causes us to re-orient our behavior.]
 
p.430 The basic needs categories of individual or collective systems appear to be physiological/physical support needs, psychological needs, security, freedom, preparedness, robustness, predictability, success, ability to influence the environment (or their equivalents). As all of these dimensions are required for proper functioning of the system, they carry approximately equal weight.
 
p.430 Objective measures of needs satisfaction can be established from... system performance measures... using perturbation analysis of the system. This means that the mapping of system and environmental state on the needs satisfaction state can probably be made without recourse to subjective assessments.
 
p.430 The processes of derivation and adjustment of normative statements are driven by mechanisms of cognitive dissonance reduction.
 
p.431 The basic behavioral instructions are to (1) satisfy first all survival thresholds of needs satisfaction, and only then to (2) maximize overall needs satisfaction with respect to all needs dimensions.
 
p.431 The system and environmental state is first perceived and analyzed by the response system. The corresponding needs satisfaction state is determined by direct or indirect reference to current basic needs satisfaction requirements. Policy synthesis is guided by the resulting dissonance vector. The overall scheme is believed to be applicable to all behavioral systems, whether natural or artificial, individual or collective... [JLJ - even perhaps a machine playing a strategic game] More particulars, especially with respect to program sequencing, are found in the original reports (Bossel 1975a and 1975b). [JLJ - Bossel, Framework for the Modelling of Behavior, Institut fur Systemtech und Innovationsforschung (ISI), Karlsruhe, February 1975, and Bossel, Notes on Basic Needs, Priorities, and Normative Change, Institut fur Systemtech und Innovationsforschung (ISI), Karlsruhe, June 1975. Trouble locating copies of these in English. Let me know if anyone can find them.]
 
p.436 Attention Set: As a result of the filter norms logic, the attention of the observation block at the beginning of an observation cycle is directed to specific state variables, message sources, or information types. It appears useful to distinguish between "alarm", "alert", and "attention" or "information" levels or priorities. Messages on the attention or information levels ("green") are being monitored for their informative content or potential usefulness, those on the alert level ("yellow") are of some immediate or potentially vital interest, those on the alarm level ("red") require full and immediate attention and affect vital interests of the system.
 
p.437 Current or imagined system or environmental states must be mapped on the needs dimensions before the system can assess their effect on system operation. The system and environmental states are represented by selected state variables (indicators) which represent the current state sufficiently well for a given issue or perspective. If the needs dimensions chosen represent quantifiable... physical... and operational system characteristics, then the mapping functions can be determined by perturbation analysis.
 
p.441 In order to survive and to be viable, any behavioral system must constantly attempt to satisfy the operational requirements (basic needs) of its causal system and of its information processing response system.
 
p.443 The key to understanding of the mutual influences and to system modification in general is again the basic needs vector. The process is a recurring sequence of: appearance of an innovation in the broadest sense... translation into system change - corresponding change in needs satisfaction state - adoption, rejection, or modification of the innovation - penetration (if adopted) to saturation level ... perhaps instigation of new innovations influencing further development. [JLJ - sounds a lot like Boyd's OODA loop.]
 
p.443 Adjustments of reference standards and of aspiration levels for the needs satisfaction state are assumed to be effected by mechanisms of cognitive dissonance reduction.
 
p.451 Following other authors, notably Maslow (1954/1970) [JLJ - Maslow, Motivation and Personality], we assign the crucial role in the normative system to basic needs whose satisfaction (to a greater or lesser degree) is required for proper system operation. The list of basic needs must be complete (for a given system), i.e., must account for all normative aspects of behavior; each of the components must be "basic" in the sense that it cannot be mapped onto even more basic needs; and each component must be independent of others in the sense that it cannot be represented by combination of other needs.
 
p.454 "Assume that you can construct a robot which will have the physical and informational processing capabilities to survive (until it breaks down by material wear and tear) in an environment containing the resources necessary for its survival, but in diffuse form.
 
(1) What systems features would the robot have to possess if it were to survive as a single individual?..."
 
p.461 A desirable state perceived as unattainable will generate little or no motivation directed towards its attainment, while the motivation towards a desirable and attainable goal will usually be overwhelming. The attainability is determined by assessing system and environmental constraints, temporary needs satisfaction costs, and probabilities of success
 
[pp.473-484 Basic Sociological Concepts for the Simulation of Political Decision-Making, Gruber]
 
p.474-475 In social psychology one differentiates very strictly between needs, values, beliefs, attitudes, and opinions. We will... only differentiate between needs and values, where attitudes and beliefs are to enter into the concept of values as more permanent, more comprehensive and more deeply rooted judgements on objects... we use values, which have a general character and are independent of specific objects. They may be concretized in certain situations concerning certain objects.... needs represent the most general and fundamental motives common to all
 
p.476 The fundamental propositions of Festinger's dissonance theory are the following:
 
H1: The existence of dissonance results in a motivation to reduce or remove the dissonance and to avoid increasing dissonance...
 
H4: The stronger the dissonance, the stronger the motivation for dissonance reduction.
 
p.477 H15: If a desired behavior cannot be evoked by coercion, then dissonance increases with the amount of coercion.
 
p.480 H35: Sensations are only possible if a change in energy levels takes place; an equivalence of stimulus and environment will not result in a sensation.
 
H36: The more intensive the stimulus, the greater the chance of it being perceived.
 
H37: The stronger the need for certain objects, the greater the chance of perception of relevant stimuli and of irrelevant stimuli not being perceived.
 
[pp.534-550 Multiattribute Utility Analysis - A Brief History, Keeney]
 
p.537 The weakest link of the four above steps in rendering decision analysis operational for multiple objective problems is quantifying the decision maker's preferences. Defining the problem is common to all attempts to systematize the decision making process. Quantifying uncertainties has also been widely addressed in modelling efforts.
 
And now, believe it or not, we have this (not kidding):
 
[Fuzzy Concepts: Logic, Motivation, Application, H. Skala]
 
p.301-302 For illustrative purposes suppose that we are interested in a formalized theory of Hippies based on the (fuzzy) predicates "drug taking", "baldness", "employed" and "long haired" which will be abbreviated as D,B,E and L respectively. The first thing we need are rules by which we are able to assign truth values to the atomic properties of our theory... Assume for example we have assigned the truth values fD(a), fB(a), fE(a) and fL(a). (fD(a) denotes the truth value of the atomic proposition "a takes drugs".) Which truth value should we assign to the proposition
    (L(a) or B(a)) and D(a) and not E(a)
which is just Zadeh's definition of a Hippie?
 

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