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).



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.


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).

GO TO keo.ai/LMR


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)

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.

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.


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

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.



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.

The controller for operating on Action Fields is sketched as ‘Bashboard’ on keo.ai/NET