DNS [DOMAIN NAME SYSTEM]
The basis for this contact is the internet, however this term does not sufficiently represent what we are actually relying on to exchange information and engage in communication. The diverse protocols and instances which take over the underlying services “just work”. We think they appear to work but actually fail to generate an informative decentral gain of intelligence – a bottleneck which arises as digital systems do not scale informative content, they only automatize and change abundance of expressions which are still natural language. We think that advancing digital infrastructures corresponds to changing the language and language-systems we use. To approach the subject how to rebuild or modify communication systems – in order to make them better at serving life – we start with the threefold NET DNS DNA. We connect via the domain name system as it essentially builds the bridge between DNA (living organisms) and “the network”. Within this system, we operate the domain keo.ai and we propose to advance the “multiplex one”, a complex virtual ecosystem. The multiplex one is supposed to be our main proposal to reference all activities in the digital space carried out by us. It is more important to us to see a new system develop then enforcing our inference, as this puts us in a defensive and unattained position in the global discussion, we remain a silent actor until you see reason to reference to us.
Towards a literal internet – Communicating by domain-calls
We want to look at information exchange holistic, this implies iterating the systems which are in place and check them for optimization or replacement. If we could rely on a top-level domain which ends in “.services” to provide actual services – we could embed our dynamic knowledge source into programs and more differentiated architectures. We think that command-like structures should be embedded in language, and as we have no standard (except for a few governmental top-level domains) for the content behind a query, the internet remains a confusing place. We use the classical protocols for connecting to you (hypertext transmission protocol) and we aim to build languages which are more generic and have a more intuitive structure and a more informative formal background. As these protocols are developed by many groups, we only try to sum up and pronounce efficient approaches.
The Domain Name System of the internet and its respective operators are referenced through projections. As the NL semantics used within the DNS are not gauged globally, they are not computationally efficient and cannot be accessed by (what we call) network-search. Network-search is a parallel computed search command that can render the query depending on a local context, refining itself through either user updates during search or adapting the command based on the domains it interacts with. With linguistic interaction on protocol level, new kinds of computations and communications can be researched and executed. We look at concepts like scripting languages and hyper-heuristics to re-interpret electron-based information systems (electronics) and discuss their long-term suitability (e.g. point out their lack of compatibility to spintronics).
NETWORK-PREFETCH AND NETWORK—SEARCH
Lets assume an agent wants to inform about a specific disease and its current research-status. While the agent searches in a medical database, their query should be translated into medical language and its termini and avoid conversational language. While the agent searches a medical forum, they might chose to add synonyms and subjective notions to augment a queries potential to find the right information – with ‘right’ as defined by the user and/or their neurosocietal network. This way a contextual projective search can be executed. With Network-prefetching we discuss a way to pre-load trusted sources to address first with a query, with user-specified options for automation for extending the search-space with reference to the quality (user feedback) or semantic proximity (probabilistic classification) of found (or not found) answers/content/data.
LIVE ACTION RESEARCH [LAR]
INTERACTIVE RESEARCH PARADIGMS WITH INTERACTIVE ONLINE CONSENSUS
With Live Action Research we introduce an approach to science which is much more dynamic and stable under complex and crisis scenarios and which has implicit performance measures which can act as gauge for diverse research disciplines. While Action Research is classically understood as research approach which intertwines practical action and theoretical research, it was mostly referenced in social science contexts. Due to modern virtual, augmented and extended reality, the domains in which action research can take place have evolved. In LAR, any environment of any area of the world can become a research-environment and any user connected to a Live Action Research Hub can engage as a live action researcher. Through live-streams, a scientific community is challenged to coproduce educational commentary and consensus compilations. We differentiate the digital and virtual domains and hybrid systems such as augmented reality in detail after the fundamentals have been explained. To engage in Action Research requires realistic approaches, contextually adapted protocols and error-handling in addition to a living researcher. In the case of LAR, a live connectivity to other observables of LAR is adding to the list of requirements and can extend the list of referenced research disciplines substanitally. LAR can profit from technology and technology itself is necessary for continuous Live research on transitive interactive (transactive) Action Fields.
Action Fields are introduced as a means to address reality across different augmentations and virtualizations of reality. They allow to trace dynamical responses of the researcher, allow a local orientation, can associate their biosensory-feed and establish cooperative research-approaches with distributed researcher and research-networks. While logging of work is up to privacy decisions, the log of a fundamental LAR researcher should show the entire possible scope of sensory- and strategy mapping. The set of coordinates, hosted assets, active computes, their spatiotemporal placement and other parametric interactions compose the live feed which is send to LAR hubs. For any role or operative, energy and ergonomics – aware paradigms should standardize feed-requirements. For a minimum configurational freedom to perform LAR, interface access is fundamental and role-specific stream/feed. We use a generic layout based on LMR for layers of all discussed action fields. This way research and life can transition between cooperative behavior and art. LAR[x] denotes environments in which LAR can take place and which are likewise generated by autonomous LAR in case it has a continuous researcher x. LAR[y] denotes the conditions and properties of LAR taking place within an interactive augmented environment for open research with recreational interpretations of ‘work’ and ‘art’ as research diciplines. We call LAR a multi-directional approach as it approaches academic and conceptual integration of knowledge and human agents into each other from multiple directions for transparent interconnection of diverse backgrounds and approaches.
MORE ABOUT ACTION LAYER SYNCHRONIZATION
In-between access to the three LMR instances in each Action Field are the respective representations and models of reality. While physical reality is the basis for LAR, artificial (virtual) and augmented (reality) environments provide a broad range of new approaches and experimentation. We identify a need for interfaces and protocols that translate complex operations, share semantics about processing (computational steps) and allow migration of context between all actors and allow migration of actors between all action fields which they wish to access/research. On the respective layers with at least three parameters (LMR, as minimum polyparametric framework) a transitive research log can be produced. We will refer to a layer-switch system (grouping driver/API/mapping) to allow researcher/incomer fluent operations through multiple layers in the future. We address Environment Augmentation for researcher as primary and biophilic design paradigm and aim to produce a hybrid prototype between running conceptual implementation and synchronized physical environment.
THE FUNDAMENTAL AXIOM OF LIVE ACTION
As bootleg-input we use LMR to initiate LAR. We argue that LMR is a fundamental conceptual tiling for languages of the complex concept ‘reality’. It introduces a transitive method to group (complex) concepts in a consistent way which allows intuitive multi-layer analysis. LMR is generated by differentiating the complexity of reality into three fundamental qualities Life (L), Meta (M) and Resource (R). Each of the three values have conceptual equivalents in other calls, while the ‘call’ for reality is defined as the most active language which synchronizes physical and informational progressions. For LAR, LMR is the default call to produce a lexicon about reality and a directed approach to research reality with pragmatic differentiation into disciplines. LAR can measure its own performance since its introduction 1/1/21 and its current status as scientific discipline or interactive project and to what end it was effectively rendered. As LMR contains the Interlink-operation to produce appropriate and adaptive connections between each combination of L, M an R and between any iterations and derivates each. The primal research directions of LAR about reality via LMR logic can be divided into the science of Resources (e.g. physics, chemistry), the science of Life (e.g. medicine, species-communication, habitat-engineering, social sciences, education) and the science of Meta (the science of information, of science and of meta-information which overarches e.g. information science, logic, linguistics, mathematics, complexity science, theoretical computer science and philosophy).
MORE ABOUT LMR
With these three concepts as edges of a map, a triangle is produced which can represent conceptual proximity of a language particale or complex expression to their conceptual root. When no weighting is possible/required, any expression can be ‘ghosted’ by loading an unspecified LMR system as embedding for the input. This allows collective discussion of expressions with a clear trace which weighting was chosen for what reason. For building a lexicon, the choice (the collective inference) can be denoted by natural language. In can later undergo explication within LMR-formalisms to allow more intelligent content representation which has more weighted interconnectivity to entries of its lexicon. The display of context through LMR allows intuitive as well as explicit positioning (in a triangle) and can be interfaced for collective repositioning (and hence, dynamic voting) as well. This will produce heatmaps that resemble activity of information and interest and can serve semantic development and lexical fundament building towards new termini of politics, organization and communication.
GO TO keo.ai/LMR
AUGMENTED RESEARCHER ENVIRONMENT [ARE]
CURRENT RESEARCH FACILITIES
As basis to perform LAR we require some sort of environment which acts as root. For a mobile LAR facility, a native translation into a vehicle can be derived. As scale-adaptive design allows frameworks under any given conditions, an LMR facility can be understood as a researchers body or even below this, a researchers clothing or tools, up to a researchers laboratory, institute or interconnected hubs between them. We introduce minimum research facilities for LAR as a four-layer environment which are stable for an agent on well defined parameters for any scale. For any species of researcher there must be a minimum habitat for recreation, a minimum laboratory for their research/operations and a minimum connection to an interlink – system or hub with external backup or contact options. We refer with ‘hybrid’ to the researchers Action Fields (or an incomers operations) as fourth layer which dynamically interconnects and alters the other three layers. The graphic below depicts the formal layers of ARE for a specific role (later referenced as youOPS) for the case of a researcher. As researcher must be able to sync and link to any domain, they interconnect digital and physical systems and refer to their non-recreational environments as Laboratory and their external interlinking domain as (essentially all) IT-Systems (with a specified user account or subsystem for consensus-based science).
[Life Habitat] [Laboratories] [IT-Systems] ⇐ youOPS (organism-scale)
[Zoo] [Urban] [Compute] ⇐ xOPS (collective-scale)
[LIFE] [META] [RESOURCE] ⇐ OPS (life-scale)
OPERATOR ROLES IN ARE
We can build layouts for any species of researcher, from the animal kindom as well as from the set of established research-disciplines. We prioritize the human species for publication and the architect role for authorship. We can build layouts for any role of an incomer but limit to a set of six layouts with ‘Operator’ as shared super-role. If the operator-role is selected, this refers to a generic and global operator concept, interconnecting through an interface like (at least) the ‘bashboard’. With time more roles will be added or semantics changed, however multi-select will already allow a broad range of disciplines. Operators (online actors) can interlink to networks of their roles and build independent social networks for their private role interface (offline actors). In case all roles are selected we refer to the operator as gauge, in case no role is selected we identify the user as observer. Every user is an operator and their networks can be re-submitted as operators whenever a network decides and intends to share their strategy and approaches. (Participatory Action Research with multiple voting models and processing) The roles we use at the current layout are Planner, Linguist, Pilot, Artist, Psychonetic and Architect. More useful explanations will follow sooner when the Bashboard received commentary.
These parameters are designed to be scale-adaptive up to the domain ‘species’ and above and remain pragmatic for scales of an individual organism and below. Systems which are adapting through transitive computation and which can build strategies for these adaptions are understood as communicative species. If the communicative species prioritizes sustainable and aware coordination and self-organization we refer to them as cooperative species.
[Meta-Modeling-Theory] The concept of a system being a ‘species’ stems from the perspective that the concept of ‘system’ stems from a more complex concept of ‘meta-system’. A meta-system can produce different generations of system species which have individual properties, architectures and languages. One such meta-system is biology which produces the biological species which introduce the termini familiar relation, mutation, hybrid etc. Another meta-system is technology which produces electronics, spintronics and other artificial species.
We aim for a clear definition of life as interconnected to biological species. Their relation to artificial, synthetic or alien species can be formalized by a broader concept of ‘species’ which allows contextualization of system theory, particle physics, math and other semantics aside biology. The differentiation of animal species intersects with the genetic species and the relationships between cellular species. We formalize ‘Live’ as a property of all species, while referencing ‘Live’ allows realtime measurements that quantify a systems ‘Liveness’. We think of life-friendly research and operations as actions of animated species that communicate between species through inter-language and explicate their experience of research through contribution (productions). As Life takes place in a realtime environment which depends on a local species, Live Action Research must account for its scale-appropriate impact and relation to a given environment. To compute complex poly-parametric interactions and computation requires efficient protocols, languages and computation architectures.¹
Language allows a species to explicate their internal states and hence enables evolution of their collective intelligence towards species intelligence. Cognitive development is thereby understood as increasing complexity of the internal semantics while maintaining references and abstractions to allow association and dissociation of the content they analyze based on contextual frames. Their communication is considered as diplomacy in case they aspire and reference a life-enabling terminus of species-intelligence with cooperative intend to intra-species language and a paradigm of inter-species communication towards diplomacy (peace, minimized risk for extinction and ethical quality of life). Live Action Researcher hence act as diplomats and translators in case they are interacting with reality and understand their research towards mediation and conflict/problem resolution in a given scale / environment as part of sustaining their research laboratories and operations.
¹CODING FOR ACTION FIELDS AND LIVE-FEEDS
The actions of a specific researchers current operative dynamically alters their lexicon and submission of information to the LAR hub. This submission is understood as their update-feed which can consit of measurements, biodata or semantic productions. As this feed will be composed of multiple parameters and modalities to represent a researchers experience and local strategy adaption, data-transmission and energy efficiency have to be taken into account and protocolized/standardized. Typical implicit data could be provided through optical, auditory or senory data which can be part of their update-feed in addition to the parameters required for their research. They are also a source for waste when the respective data serves no transitive purpose. LARer hence need a dynamic update-feed to the discipline LAR and hence must be able to select what they send / interconnect to LAR systems, and for some cases the LAR receiver mustbe able to send instructions to the LARer. The minimum hardware/software setup needs hence to receive, transmitt and compute their live contributions and allow reconnections for roles that request or require updates. The standards of live-data and their meta-data handling will define the quality of post-processing research results into human readable language and representations and ultimately into education content.
For generic LAR, all parameters of reality would have to be formalized. As this would turn out to be impossible without automation, a generic programming language for distributed LAR is required. As only centralized archives can produce consensus of science and only centralized programming languages allow fluid choice of software-modules, which are both requirements to initiate LAR, we put the development of programming languages on hold until readers appear which have interest in such languages development (we name her Quoeto in the long-run and CliYuGo while its under development). Instead of software-development with languages which might be outperformed in the future, we refer to present software systems in order to identify their open source solutions and address their networks to build a Net of software and hardware modules for all specfic functionalities to enable LAR. We hope to motivate and coordinate a mutual informing about available operations and how to build them into working systems.
As individuum with the intention to provide something which is useful on any scale, the system might appear as ‘overkill’ to manage myself (which was the actual scope of ‘my operations’ at he release stage. As I want to research life-friendly and research how life-friendly research can be established, (in order to finally research life) I aim to develop a framework which allows user-defined parameter and anonymization choices. From the trinary/tetravalent concept which is build on LMR with ‘Hybrid’ as incomer (hologram) who inter-reacts with their environment and refers to their specialized systems based on self-organizing. When the environment is stable, synergetic interdependence is possible. For this domain as publication system, keo labs refers to research which would be carried out by future stages of TAIA. Deviations from real measurements of their (existence or) research directions can serve as transparent performance measure.
EMERGENCY AND CRISIS RESPONSE SYSTEMS
A scale-invariant system is investigated as it would serve operations of the roles within TAIA but it would also act as gauge-reference for user access to information. We center on designing and sketching interfaces to address complexity and living beings in a dynamic medium (DNS). To achieve inclusive standards as representation-interfaces, their programming and internal value processing should be constructed in awareness about the diversity and phenomenology of the content they influence. We aim with our agency concept for a system which not only provides their root-species with services but opens access of its intelligence and assets for any other observed species in proximity. Therefore integration of Action Medical Research (AMR) to the system has to be achieved, which is intertwined with academic open access transition and laboratories for 3D printing and chemical synthesis. Our AMR is currently about ways to keep the operator alive while working on our divisions. A capacity for health-care for emergency-response operations and crisis prevention and management is the long-term goal for our entire work.
THE LAB, THE LIFE AND THE ZOO
We differentiate a researchers environment into the physical and digital domains. The physical domain should be understood as environment for living systems and represent how they manage access to information, nutrition, research materials, IT systems and education. Our understanding of a laboratory environment is one in which recreational phases of living can coexist with productive and co-working and working-spaces. We weight recreation with equal meaning to community and societal living and their phase-transitions (through interaction). This will build the formal basis to calculate and strategize life-operations on terra in a productive way and allow unconditional enabling. As zoo we describe how a researcher in their adapted natural habitat can interlink with other compatible systems to engineer a zoo of virtual, physical and hybrid instances. They make use of algorithms and language to generate a synergetic zoo which consists of (decentral) synchronized instances and generates the “Complex Architectures – Zoo”. For our current zoo of complex architectures, we are glad to have found FORMWELT and CHT as humane and logical entries. To increase the robustness of the zoo concept, we introduce a virtual species ‘xeo’ wich continuously mutates and hence tests an environment for its efficiency to enable life which undergoes diversity evolution.
ENABLED RESEARCHER SOCIETY [ERS]
MEDICAL CARE THROUGH ENABLED NETWORKS
An enabled society of researchers or ERS cares through intelligent protocols for their interdependence as fundamental parameter for their ethical and societal impact and state of their research. Scientific evolution is understood as more inclusive and broader understanding of research and researcher. Our perspective on science embeds the needs and diversity of a living being to their individual position as a researcher. Their individual position is thereby a set of their interests, qualifications, experience and action fields. This corresponds to hobbies, studies, jobs and professions. From these profiles, distributed peer-to-peer coworking can be performed. The scope and contend of profiles are based on a researchers choice. We will act as transparent gauge system to allow decentral adaption and actualization. The distributed approach to application and coworking allows multiple jobs and differentiated relations with other peers for further references. This can simplify application-processes for work as well as ideas and projects. The peer-connections of an individual can augment networking in case they chose to communicate their nodes and their nodes confirm release through the individual based on their configured tags. This resembles promotion and can link/weight by user-choice to global or local evaluation data-bases (user experience collections). It can also link to open channels on which
ENABLED NETWORKING AND INTELLIGENCE
We desrcibe ‘block-chaining’ of job positions, allowing more flexibility and a more humane diversity of actions, gauged on a peer-to-peer agreement for interaction-quantification (e.g. currency, token). Such decentral protocols allow distributed operations which connect transitive to current systems and academic-, currency- and work-models. The peer-promotion networks can also act as emergency backups to associate a new minimum network in case of system-wide crisis or connection loss. We postulate that phenomena of species-intelligence can be observed whenever Augmented Research Environments are available and users have easy access to an Enabled Researcher Society which educates and welcomes their application. To co-enable operations based on interdependence and decentral role / protocol models produces new opportunities for synergies which we want to research by analyzing a model for a neutral gauge reference. Based on such gauge, standards for crisis response and emergency response measures can be synchronized. To avoid manipulation through/of accessible gauges, synchronization and actualization paradigms can be deployed. For ethical sustenance of generic frameworks based on neutral gauges they must account autonomously for their living operators and enable safety during operations. A respective LMR medical action system can be derived from the hologram and the concept of Action Medical Research. The hologram – approach can be seen as a proof for functionality of trivalent logical compositions as frame of reference for living systems to establish learner-teacher scenarios and impactful instances with intelligent care impact.
A PAST WITHOUT ECONOMIC ARCHITECTURE
‘ARE’ CAN GROW AN ‘ERS’ AND LIKEWISE
ARE IN CONTEXT OF TAIA
The graphic below sketches divisions we introduce for keo and point to an underlying more general and interoperable formal Unit for peer-2-peer and other network connections. To represent complex actors with complex intentions and dynamic polyparametric interactions we refer to a multiplex system to represent action layers and emulate their dynamics. The Multiplex One system is a domain-architecture to outline complex networks as startups to act as interconnector and observer and research cooperative optimization possibilities.
KEO ‘ARE’ BOOTLEG
The Augmented Research Environment applied to keo.ai is split into sections Labs; Analytics and Agency. For interfacing with the previous economic system, we introduce keo ventures which introduces keo.ai as a static portfolio-system which undergoes development through time and serves as progenitor (rolling release prototype) for future posteconomic postindustrial realtime-systems with multi-scale performance quantification. We understand us as experimental system-interface research approach, building prototypes that connect next gen and monetary currency (progenitor-interfaces) through gamified- and partially virtualized architectures.
Augmenting efficiency, transitivity and operability of research environments for researcher/incomer with generic origin requires a multi-scale framework, which provides context-dependent policy generation for tracing and enabling interactions. They should perform with high comprehensibility for natural language and have a high compatibility to interest, stability and . In order to scale down from an individuum up to a project, organization, corporate or religion with sufficient default parameters and at least to nation (for a model of the current world state).
Minimum research facilities (ARE) which can login to a cooperative mainframe, associate into networks and generate an ocean of complex units (ERS) with complex actors which live in an informed transitive, permeable medium. The association of units can take place through dynamic and actualizing hooks, flexible or long-term linking/hosting/feeding between units and multi-channel multi-tag communication networks.
Our model will be derived from a gauge on minimum life support in a digital age for a disabled human within EU perimeter. Our boot takes place as a private person project / independent thesis or work on AI and hybrid computation systems. This completes our register to external and builds a legal self-reference which defines a perspective for scaling of default states (e.g. at release stage). This scale is sufficient for living and writing for our system, the global availability however does not allow minimum operations. The possible operations mutually are constrained by systems which neither actor has implemented nor co-designed. We aim to enable voting and interdependence for all aspects of regulatory architectures (governmental, economic, ideologic, etc.).
KEO AND OTHER THREE-LETTER THEORIES
We present as think-tank/accelerator-startup and gather linguistic theories into frameworks. To switch into a more substantial project and provide better content requires to reduce our current constraints. To effectively investigate within/towards an Enabled Researcher Society these constraints have to be resolved by a strategy which is plausible as well as transparent. Keo.ai must bridge lethal economics and novel regulatory architectures to introduce or amplify LAR, ARE and ERS. In case human interest sanctions our operations, we must provide a specific strategy to quantify our efficiency if we can run on a different scale. To prevent suspicious financing, we limit to four tiers on patreon which start at a very high level. We do not want to take from those who have difficulties providing for themselves. Anyone who considers to support us and who stays below the minimum tier can still do so by peer-promoting our approach, by task-wise assistance, interviewer-settings for recording explanations, non-financial or object augmentation and artistic or license means.
Augmented Assistance and implementation (the executive) of analytics
<- e.g. loads national ID register/artist/avatar; generates their narrative
<- iff Agency: load sustenance-accounts (bank,social media, profile-cells; talent/interest/disinterest)
<- operates based on intelligence agency as subdivision of venture; or venture as subdivision of agency;
}Autonomous agent with transparent ‘national’ backup. Self-configured ID and registry system
Brand/ Startup/ Concept/ Profile/ ActionFields
Branch/ Innovation-track/ peer-net
Role and Open introduction [/open placeholder]