Complex Systems represent large-scale interconnects of heterogenous components, adaptive agents, and nonlinear actors. In modern usage, these are often networks-of-networks or systems-of-systems with multi-scale feedback and emergent behaviour.
The canonical example is an ecosystem which supervenes cyber-physical infrastructure with socio-technical utilization and smart-assets.
Many new and emerging technologies are defined by their integrated and connected nature. The attributes of a complex system arise in most disruptive and ubiquitous spaces:
* Cyber-Physical Assets/Infrastructure; Smart-Grids, Smart-Fleets.
* Industrie 4.0; Smart-factories, Lights-out facilities, Printed-Edge.
* Autonomous Vehicle Networks; Infrastructure & Traffic Management.
* Unmanned Airspace; Integrity-as-a-Service, Smart-Corridors.
* Blockchain Logistics; Smart-Auctions, Agile Markets.
* Integrated "2.0" Frameworks; Health/Transport/Agri/Government.
* IoT; Sensors, Devices, Everything,
The increasing complexity of engineered systems is driving a phase-transition known as the hypermodern era.
This era is marked by topological dynamics, network articulations, and configuration spaces that outpace data-driven analytics and invalidate most insights.
We believe that by 2025, most complex systems won't derive meaningful value from big data.
The disciplines of control, management, and governance subsume one another and tend to be domain-specific. Control is the most foundational and distributed layer of organization. Its KPI tend to be extremely localized and work at microscopic resolutions. Management is the most transient and disruptive layer. Its KPI are mesoscopic and granular. Governance is of course the most holistic layer of organization with macroscopic KPI. Fortunately, there are KPI which are universally applicable and come up all the time in complex systems.
Our integration studies reverse engineer (or evolve) the systems architecture and calibrate the correct metrics. We then generate critical ontologies relevant to all levels of organization. These can in turn be used to develop scoring functions and reference configurations for planning and orchestration.
Planning in complex systems comes down to resource allocation strategies and utilization guidelines. Near-optimal planning is done in a game-theoretic manner, as intelligent adversaries compromise traditional policies and negate classical decision making.
Our planning algorithms implement anytime defensive forecasting. Here, plan generation begins with worst-case or pessimistic outlooks. Given additional evidence, a planning agent relaxes their strategies to be stochasically opportunistic.
In complex systems, orchestration is the process of fostering emergent behaviours amongst constituent elements to compose desirable global states.
Orchestration is a hard problem. It tends to be ill-posed and in PSPACE. We automate it top-down, by scoring deviations from various reference configurations, evaluating outcomes and scenarios, and using ensemble consilience to create rules which guide the system back to homeostasis.
Ensemble Consilience and Hollistic Optimization (ECHO) is a novel approach to complex systems measurement, evaluation, and refinement. ECHO reconciles multiple-criteria about model properties, structural invariants, and data-minimal features. ECHO utilizes proprietary similarity and fitness-for-purpose metrics. The framework combines some of the latest applied research from the fields of game-theory, information-theory, graph-theory, topology, complexity theory, and network science.
Most assessments, scorecards, dashboards, and MBA-contrived KPI are totally bloated and completely out of touch when it comes to complex systems. We utilize futureproof, domain-agnostic, and data-minimal approaches.
Exobolic is prepared for the hypermodern era. We can offer your project additional insights and massive value added through our offerings. We are a suitable 2nd opinion for your systems development processes. Our services simplify KPI/scorecarding, and engage at every project stage. Exobolic identifies with stakeholders, evaluators, integrators, feasibility analysts, operational diligence providers, and compliance auditors.
Our expert knowledge. Our catalysis comes from R&D and SR&ED funding. We have a growing team. We're eager to partner, collaborate, and innovate the tools and techniques necessary for these undertakings. This headstart gives us a competitive advantage that is passed onto clients.
Our packaged delivery. We're streamlining our expert knowledge into automated workflows, unique analytics, converged metrics, and fast delivery. We will eventually incorporate smart-contracts and provide MXaaS ("mexas", or metrics-as-a-service) as part of our business.
We hope you'll grow with us. We're getting in front of the hard problems with an emerging discipline.