WI2 2019 Jun. / Poster Session @2019.06.28-29 Kobe Campus for Commerce, University of Hyogo, Kobe, JapanAn Exploratory(& Experimental Economics) Proposal for a newer Integrated Model Theory of Economy and Society,
Encompassing Steady-state Economy and Growth Anticipative Behavioral Economics(indifferent to its actors and systems granularity*1)(*1. Human and/or non-human life and/or non-life, natural & physical environments and elements, Artificial-life/complex automata, artificial and/or computational intelligence and various scopes of interactions etc.)

Takeshi Fujiwara*2(*2. DAYPLA Corporation, Tokyo Japan. This essay is a submission to my own Call For Papers for posters theme @ Web Interaction and Intelligence (ARG SIG-WI2) Study Group on April, 2019 https://www.sigwi2.org/14th-p2-3description , a granted
benefit for the company’s silver sponsorship in support of the SIG-WI2 group and events. Poster session scheduled on 28-29 June, 2019, at Kobe Campus for Commerce, University of Hyogo, Gakuennishi-machi, Nishi-ku, Kobe, Hyogo, Japan.)

Abstract
Modern administrations and disciplines address issues of sizable and collective “mass economics”, with affinity to mass production andvisible volume of consumption of commonly communicated “value”. However, humanity has reached a point where a) sustainable
development & decrease or evade disordered waste from habitable vicinity, b) societal rights interest in diversity of personal values &individual selective behavior, (a, b)are issues critical to survival of humanity and its environmental surroundings. On this essay, I
propose an explorative study for an integrated model theory of economy and society, encompassing steady-state economy & growth
anticipative behavioral economics, with the following aspects: 1. Redefining elements and functions of economics to fit diverse valueobjectives of modern humanity, or any system of self-cognition, self-organization in general. 2. Applying general systems theory toeconomics, 3. thus redefining scope of economics to any natural phenomenon as system/automata, where integration/interaction withgroups of various societal/behavioral actors for value-objectives are consequentially natural in systems of economies. 4. Inclusion ofdiverging simulations of automata, and simulations themselves as automata, in the model / environment. 5. Cross-over solutions oflocal-universe and multiverse dimensions to fit diverse objectives of the homeostasis /self-generative function (even chaos is a system formodels/cognitions which prefer it, whether art or science: serendipity of selection of value-models by any agent(s) of any granularity).
Notion of n-manifold and phenomena of singularities to explore explanations of interacting entanglements in the model(s) of different
autonomies/systems of economies in various granularities. 6. On the more practical engineering side of the derived objective-explicit
economics, allocation(trade-off)/optimization problem becomes a ramification problem of relation among swarm/group of automata.

Probing Aspects of Model and Constitutes

3. fit diverse value-objectives indifferent to/ or in(somewhat before the economics)
conflict or compromise with diverse actors and1. Redefining/unfixing elements and functions to systems granularity thus redefining scope of economics toanynaturalphenomenonassystem/automata,whereaccommodate diverse value-objectives of modern integration/interaction with groups of various societal/behavioral
humanity, or any self-cognition system.
actors for value-objectives are consequentially natural in systems
What is/are desirable disciplinary system(s) of “Economics” to anentity(institution or personal) to start with? Is/are suchcomprehensively universal in applying to any reality? Aren't
elements and functions of “production”, “distribution”, and“consumption” of “goods” and “services” diverse rather thanuniversal to diverse entities of cognitions with different valueobjectives? Description and analysis could totally differ between
disciplines of Economics(as applied sciences), so I propose an
unfixing of institution-specific or belief-specific terminologies andcontext. Also, provide more flexibility to approach diverse
granularities of systems/environment.

of economies.
By this, I also mean relations/interactions of systems could be inpeaceful coordination or in a battle for survival or somewhere in
between or in no coherent relation whatsoever due to difference incognitiveortangibleframe,
etc.
Such
adaptedrelations/interactions as meta-systems could be short or long-lived,
where collisions, compromise, nil relations of value-objectives
between different worlds are in fact everyday phenomena in thereal world full of complexities, crises, where such relations are alsoa source of emergence and changes of value-objectives in a localworld or more.

resolutions of computable constructs of states(as image dots are toa TV screen; finite-state automata being the equivalent of the dots
here, however an automaton may be replaced by a different
automaton in a worldly course of matters or happenings, as theworld-as-environment is not necessarily computable a priori,
though selected instances may be.) by branch-offs of simulation
scenarios. Occurrences of branch-offs in world-as-environment(s)are observably stochastic in nature, and automata as actors would
be efficient and robust in behavior if designed rather simple(butnot versatile in its own as ASM), but also allowing non-finitely
possible variations and occurrences of combinations that areopen(not closed) to unknown possibilities, as is the real-world. As aresult, simulations are of systems model(including but not limited
to constructs of finite transitions), as well as its environment. The
aspect of simulations of automata and environment is that ofcomputation. Such model / environment with computablequalities(containing modularly/locally finite elements) is necessary
in order to study behaviors of varying economies with diverse
value-objective that could be computed as dynamic models.

2. Applying general systems theory / systems 4. Inclusion of diverging simulations of automata,Cross-system “solutions” to fit diverse objectives of thescience Applying systems notion as adhesive to synthesize and simulations themselves(as recursive functions with aims of 5.
homeostasis /self-generative function of where systems overlap anddifferent systems/local-universes of economies(where an elemente.g. “goods” may have similar traits, but differ in value, role, orqualities in different universes of economies ).
“Waste-A” in Economy-A, could be considered valuable “goods” inEconomy-B where a typical consumer or a life-form of some kindmay have different value-objectives, or even different time-frames
for their value-cycle(s).

“Systems science is an interdisciplinary field that studies the nature ofsystems—from simple to complex—in nature, society, cognition, engineering,technology and science itself. To systems scientists, the world can be understoodas a system of systems.”
https://en.wikipedia.org/wiki/Systems_science

Wikipedia(retrieved:2019.06)

probing scenarios and outcomes) as packeted/capsulated automata,or in other options, as bisimilation of states, in the model / andenvironment simulations. A finitely feasible computablesituation(in context with model and theory of computation,computability and complexities, automata with some essential
notions related to formal language, etc.) may often be described asFinite State Machine(FSM) or, observing the same situation, as afinite Labelled Transition System(LTS), depending where to focus
the scope of behavior. Probabilistic Automata(PA), generalization of
nondeterministic finite automaton may be projected here, though
scheme in its quantum analog, quantum finite automata(QFA)
would require different prerequisites. Regarding simulations, mynotions are about simulating real-world phenomena(here, in termsof economic cognitions and solutions) of systems to approximatedrelate to each other may be sought for. For example, a specificeconomic system(out of many) and a societal system(out of many)
may overlap in a certain composition of state transitions,representing a same real-world phenomenon in different
perspective angles(or different sub-worlds with their scope ofdimensions). For solutions regarding valued-resources, a systemic
cross-over solution maybe that of non-static allocations orresources.
This is where, on the more practical engineering side of theobjective-explicit economics — 6. Allocation / optimization problem
becomes ramification problem of relation among swarm/group ofautomata—, where resource allocations are observed as
dynamisms between systems of diverse value-objectives.

Pre-Design Plan Subjects for Economies and Solutions(or Game) Simulator System / Experiment Environment
as Inductive Theory Forming Apparatus ; ( Framing of Economies and Crises with Focused Objective-Model Automata : n-manifolds and singularities )Simulation Research 1: Plastic waste crisis and diverging behavioral
prospects. How diverse value-objective automata collide and react forformation of common accord/rules: “economic expectations for waste-freevicinities(optimistic or not)” vs “anticipative growth”.
PROBE QUERY: In exploring/shaping the integrated model theory as logic for systems dynamism, thesimulator system as experiments environment is core to this scheme. Real-world crises and solutions
probing are viable frames to test situations and test sets, as well as being the target of applying thederived/induced/hypothesized logic. An example, a probe to redesign and shed new light toproduction/industry consumption/society cycle of plastics is a viable real-world theme. A probing query
could be something like: “In order to suite both steady-state/saturation and growth anticipative
behaviors at some level of some condition of accord between the diverse value-objectives, what are theviable range of states of actors to come in a state of accord in the simulation ranges of transitions?”-> EXAMPLE METHOD(S): Use similarly structured automata model(s) for behavioral core systems
indifferent to value-objective content(e.g. colliding value-objective scopes of plastic produce/sales/consume/recover cycle of boundaries such as [a: accumulative business/consumption continuities],[b: projected homeostasis of diverse terrestrial habitability], [c: personal purchase/consumption/threshold of control/disposal of products]), where state transitions with goals are similar in pathdesign, however the objective(content) may differ. Implement automata of communicative
bisimulations in-between the opposing(with defined observed behavior range) but similar automata,and observe if permeation of perceptions to encapsulate differences of value-objectives has cooccurrence and spontaneous mutations as emergence to a systems logic. Another method may be to use
different automata models reacting to each other to begin with, where commonness emerge and form.

A group of workers(or any other resource contributors)may be more obliged to pay taxes for company orcompanies he is a member of than to one or more of the governments of sovereignty(local or not) thatthe individual may be a constituent of. A probe query could attempt to undermine correlation of powerof compulsory influence with organizational or pan-economic size, if some nomad-like individuals orgroups prefer a more compact level of self-sustainability in terms of compulsory consumption or
production. By unbundling fixed exclusive-relations between possible organized benefits and its derived
sources, we could simulate and postulate on relationship models such as [transitions of: power andcollaborative behaviors and selective/strategic/tactical actions among effective control of behaviors andvalue-properties], [transitions of: functions], in regard to the types of organizations(such as
corporations, nations, nomadic tribes, families, interest groups, telecommunications-oriented groups
like SNS, P2P networks, etc.) we know today or in history and their term of existence, holds effective
control as media of influence, collective or not, to the autonomous unit of individual self-cognition( ofany granularity). People freely joining some combined selection of sovereign corporations, nations ofpreference possibly with no geographical presence could be examined as ways to spend time-value etc..
-> EXAMPLE METHOD(S): Use Mechanism design theory to simulate environment to probe the unknown
mechanisms/incentives among prospect of collaborating systems, of selected games of allocationpreferences(for each local unit of self-cognition). In the simulation, there are swarms/groups ofprospective relations of automata(thought with various life-spans, viable to its or other’s goal or not),where optimization of relations depends upon mutual accord, or pseudo-accord in value-objectives.

Simulation Research 3: Pension/social security reform, financial resourcesand deficits. How societal systems and economies meet; with potential
transitions of player roles & playgrounds. PROBE QUERY: E.g., something like “What if

Simulation Research 2: Crises of international trade and global pension/social security scheme includes the beneficiary as a prosumer-unit, where the individual would
be benefited with consumption-of-works instances as value-mediating-currency” -> EXAMPLE
competition/Geopolitical and “GAFA”s at global resource saturation. How METHOD(S): Use competing automata for allocation of value-prospects by-passing currency reserves.
growth/competition prospects and tax systems (tariff wars, corporate tax Simulation Research 4: Crises of political communications and/or military
havens, etc.) work, break and remap unions and partnerships between confrontations, in various domains and granularities. How AI policy debate
growth anticipation and steady-state of economies.
machines could encapsulate emotional heat-ups/tactical situations into
PROBE QUERY: We could simulate and probe possibilities with varying scopes of solutions by unfixingof Gedanken experiment & enhance public cosmopolitan
systems functions and elements such as [ institution life-cycles, emergence, compulsory and/or games
voluntary affiliation duties/relations of constituents(typically people) to institutions/sovereignties/ awareness/learning. PROBE QUERY: .This also probes behaviors/qualities of both the following:
traditions/customs, etc.] . By doing so, we could simulate diversions of worlds(that may have been orcould be generated) with institutions having different weights of influence to its members.

[boundary limits of definition of the explored logic], and [representativeness of data] . -> EXAMPLEMETHOD(S):Layered stochastic notion-action-plains of pseudo natural language with genetic algorithms