Overview
- Cohesive System Model
overview
Domains can be described as semantic system graphs composed of:
The graph-wide thesis and entry point for describing domains as semantic system graphs.
Knowledge Graph
The Cohesive knowledge graph defines the vocabulary behind semantic system graphs. It is a reference surface for navigation and study, distinct from the executable system graph Cohesive uses to generate software.
overview
Domains can be described as semantic system graphs composed of:
The graph-wide thesis and entry point for describing domains as semantic system graphs.
principle
Adjunctions describe paired constructions that translate between domains in the best available way, even when the translations are not inverses.
principle
Algebras and coalgebras provide complementary ways to model construction and behavior.
principle
The asynchronous computability theorem characterizes which distributed tasks can be solved wait-free in an asynchronous read/write system.
principle
The CALM theorem, "Consistency as Logical Monotonicity", states that a program has a consistent, coordination-free distributed implementation if and only if it can be expressed in monotonic logic.
reference
Categorical principles provide modeling discipline for the Cohesive System Model. They are not the entry point for ordinary readers, but they help keep distinctions precise when relating semantic dynamics, system structure, operational semantics, and realization substrate.
principle
Compositionality is the principle that complex systems should be understood from parts and the rules by which those parts compose.
principle
Database Sheaf Semantics views a database schema as a category, a database instance as a structure-preserving functor into sets, and local database views as sections that can be restricted, compared on overlaps, and sometimes glued into a coherent larger instance.
principle
Duality and symmetry are principles for recognizing paired concepts that explain one another through reversal, complementarity, or mirrored structure.
principle
Enrichment adds structure to relationships. Instead of merely asking whether a relationship exists, an enriched view asks what kind of value the relationship has: order, distance, cost, probability, time, authority, confidence, or information.
principle
Equivalence and equality should not be confused.
principle
Event-state duality is a modeling principle and an instance of duality and symmetry: the relationship between two views of behavior:
principle
Fibrations and indexed structure describe situations where each object in a base domain has a category of things lying over it.
principle
Fixed points and recursion describe self-referential definitions, repeated behavior, and systems whose outputs feed future inputs.
principle
Functoriality is the principle that a mapping between domains should preserve the structure that matters: identities, relationships, composition, and change.
principle
Monads, monoids, and their duals provide recurring patterns for sequencing, accumulation, context, observation, and composition.
principle
Naturality is the principle that a transformation should be independent of arbitrary representation choices. It should commute with the structure-preserving maps between representations.
principle
Optics are structured ways to focus on, observe, transform, or update part of a larger structure.
glossary
Sheaves and gluing provide local vocabulary for describing systems of observations: many observers, contexts, processors, time intervals, schemas, views, or execution cuts may each see part of a system, and the model needs to say when those partial views agree enough to form a coherent larger view.
principle
State machines are a modeling principle for behavior described by current state, admissible transitions, inputs, and outputs.
principle
Stuff, structure, and property are a modeling distinction for separating what a model contains, how it is organized, and what constraints it satisfies.
principle
Synchrony and Asynchrony describe whether events, observations, transitions, or participants are coupled into one boundary-relative unit.
principle
Systems Sheaf Semantics uses sheaf-theoretic local-to-global structure to model how observations, state, versions, histories, process state, and knowledge vary over contexts such as observers, boundaries, and causally valid cuts of execution.
principle
Trace and feedback describe systems where outputs are fed back as future inputs.
principle
Universal constructions are principles for naming "the" object determined by a diagram of related objects and morphisms.
principle
The Yoneda lemma says, roughly, that an object is determined by how it relates to all other objects through maps into or out of it.
Formal and modeling disciplines that keep distinctions precise across the graph.
semantic construct
Behavior is a time-varying value: a trajectory through state space:
semantic construct
A command is an observer-relative interpretation of an input event as an attempted transition.
semantic construct
An entity is an enduring, identifiable subject whose state evolves over time under controlled transitions.
semantic construct
An event is a time-bearing occurrence with a value. It marks, reports, or induces change depending on how it is interpreted by an observer relative to a boundary.
semantic construct
Identity is what allows a sequence of state observations to be understood as successive versions of the same thing.
semantic construct
An observable is a probe, projection, measurement, or field accessor that produces an observation from state.
semantic construct
An **observation** is a contextualized value produced by an observable acting on state. It is the form in which state becomes usable by an observer relative to a boundary.
semantic construct
An observer is a locus of interpretation. It is the participant, context, or execution locus relative to which values, observations, events, commands, queries, boundaries, and state acquire meaning.
semantic construct
A process is coherent work unfolding over time.
semantic construct
A query is an observer-relative interpretation of an input event as a request to observe, compute, or return information without requesting a modeled semantic state transition.
semantic construct
A shape is the logical structure expected of a value, observation, state view, event payload, command input, query result, or projection result within a model boundary.
semantic construct
A state is the condition or configuration of a subject within a model boundary, modeled as an assignment of values to the subject's relevant dimensions at a time, version, or point in behavior.
semantic construct
Time is the dimension in which occurrences, changes, histories, and behaviors are ordered or compared.
semantic construct
A transition is the semantic decision relation that determines whether an attempted change is accepted for a subject.
semantic construct
A **value** is pure structured data. It is the concrete information used to read, write, transmit, compare, validate, transform, or carry state.
semantic construct
A **version** identifies a point in an entity history at which a particular state became current.
Change, time, observation, identity, state, value, behavior, process, and participation.
operational semantics
ACID is a transaction contract: atomicity, consistency, isolation, and durability.
operational semantics
Acknowledgments answer: what does a participant or substrate claim has happened?
operational semantics
The CAP theorem describes an impossibility for distributed shared data under network partition: a system cannot simultaneously guarantee linearizable consistency, availability, and partition tolerance for all executions.
operational semantics
Commit Boundaries answer: what becomes accepted as one unit, and within which boundary?
operational semantics
Concurrency Control answers: How can multiple concurrent histories be reconciled into a single valid history?
operational semantics
Consensus answers: how do multiple observers agree on one decision, value, or ordered position despite concurrency, delay, partial failure, or independent local views?
operational semantics
Consistency Models constrain which observations are valid for a set of events, transitions, versions, sessions, replicas, and ordering relations.
operational semantics
Coordination answers: how is multi-step or multi-participant work made coherent across observers?
operational semantics
CRDTs, conflict-free replicated data types, are replicated data types designed so that independently updated replicas converge without requiring synchronous coordination for every update.
operational semantics
Delivery Semantics answers: what guarantees does an interaction edge provide?
operational semantics
The dual-write problem is the failure mode that appears when one operation tries to commit two or more effects across independent commit boundaries without one atomic commit protocol or durable recovery protocol connecting them.
operational semantics
Durable Execution is the operational semantics by which a process can continue coherently across failure, restart, suspension, timeout, or delayed external work.
operational semantics
Idempotency is the property that repeated handling of the same semantic input does not produce duplicate domain effects.
operational semantics
Interaction answers: how do observers address, observe, notify, or invoke one another?
operational semantics
Isolation describes what concurrent operations are allowed to observe of one another while they execute.
operational semantics
Ordering defines the scope within which events, commands, observations, or effects are sequenced.
operational semantics
Persistence answers: what is made durable and authoritative?
operational semantics
Progress Conditions classify liveness guarantees for concurrent or distributed operations.
operational semantics
Rate Limiting constrains how quickly work may be accepted, dispatched, delivered, or processed.
operational semantics
Reconstitution answers: how is usable state recovered?
operational semantics
Recovery defines how a system returns to coherent operation after failure, interruption, conflict, timeout, overload, or partial progress.
operational semantics
Retry is the controlled repetition of an operation after a transient failure, timeout, conflict, or unavailable dependency.
operational semantics
Safety and Liveness separate two kinds of operational property of a distributed system.
operational semantics
Two-Phase Commit is a coordination protocol for atomic commit across multiple participants.
operational semantics
Version Histories describe the shape of state evolution for a subject, entity, document, repository, projection, or replicated object.
operational semantics
Weak Isolation Patterns are design techniques used when one ACID transaction or two-phase commit boundary is unavailable, too expensive, or not aligned with the business process.
Correctness, delivery, persistence, recovery, consistency, coordination, and reliability.
structural construct
Boundaries define the scope and context in which observation, interpretation, authority, failure, persistence, delivery, and coordination apply.
structural construct
Business Transactions describe domain-level units of work whose progress, acceptance, rejection, compensation, or completion matters to the business.
structural construct
Effects are modeled consequences of an accepted interpretation, transition, process step, or operational action.
structural construct
Entity models describe how the semantic entity role is arranged in the system graph.
structural construct
Flows describe movement through the system graph over time.
structural construct
Invariants describe where validity constraints are attached in the system graph.
structural construct
Observers describe how the semantic observer role is arranged in the system graph.
structural construct
Policies describe where decision rules are attached in the system graph.
structural construct
Processes describe how semantic processes are arranged across time, observers, entities, and external systems.
structural construct
Projections describe how derived observations or derived state views are arranged in the system graph.
structural construct
Relations describe how semantic roles are connected in the system graph.
Placement, ownership, boundaries, relations, projections, policies, invariants, and graph shape.
realization substrate
Actor Systems are runtimes that organize execution around addressable actor identities, message delivery, placement, isolation, and serialized handling per actor.
realization substrate
Application Hosts are runtime containers for application code, request handling, background work, dependency management, and operational concerns.
realization substrate
Brokers are concrete messaging substrates that mediate delivery between producers and consumers.
realization substrate
Compute is the concrete capacity that executes work: CPU, memory, processes, containers, virtual machines, functions, tasks, nodes, clusters, and other execution resources.
realization substrate
Consensus Protocols are concrete protocol families that realize consensus under specified network, failure, timing, persistence, and membership assumptions.
pattern
CQRS, command query Responsibility Segregation, is a realization pattern that separates the write side that interprets commands and persists authoritative change from the read side that answers queries by reconstituting queryable observations.
realization substrate
Durable Execution Engines are concrete runtimes or substrate mechanisms that realize durable execution.
pattern
Event sourcing is a realization pattern in which an entity's durable history is represented by committed events rather than only by current-state records.
realization substrate
Infrastructure is the concrete operational environment that provides compute, networking, storage, deployment, security, observability, and platform services.
realization substrate
Network is the realization substrate for interaction across link, network, transport, and application protocol boundaries.
pattern
An outbox is a realization pattern that stores an outbound effect obligation in durable persistence, usually in the same local commit boundary as the state change that created the obligation.
realization substrate
Realization is the relation by which semantic roles, system structure, and operational semantics are made concrete in a substrate.
realization substrate
Runtimes are execution environments that host code and provide operational behavior.
realization substrate
Storage Systems are concrete mechanisms for durable or semi-durable data: databases, event stores, object stores, key-value stores, logs, file systems, caches, and actor state providers.
realization substrate
Workflow Engines are runtimes for defining, coordinating, and operating multi-step workflows across time.
pattern
Write-Ahead Logging, or WAL, is a storage recovery pattern in which durable recovery records are written before the corresponding state changes are allowed to become unrecoverable.
Mechanism families such as compute, runtimes, storage, networks, brokers, actors, and infrastructure.
architecture practice
The actor model addresses the problem of organizing concurrent computation around isolated, addressable participants that communicate by message passing.
pattern
An anti-corruption layer addresses the problem of integrating with another model without letting that model's semantics leak into the local boundary.
reference
Architecture practices are named bundles of modeling choices, constraints, and implementation habits that address recurring system-engineering problems.
architecture practice
Clean Architecture addresses the problem of dependency direction: keeping high-value semantic rules from depending on volatile delivery, persistence, framework, and infrastructure choices.
architecture practice
CQRS is often described as an architectural pattern or style. In the Cohesive System Model, the technical mechanics are captured by CQRS as a realization substrate pattern.
architecture practice
CRDTs are a distributed-systems practice for designing replicated state that can accept concurrent updates and converge without synchronous coordination for every update.
architecture practice
Data Mesh addresses the problem of scaling analytical and operational data ownership across organizational and domain boundaries.
architecture practice
Domain-Driven Design, or DDD, addresses the problem of preserving domain meaning in software as systems grow in complexity.
architecture practice
Event sourcing is often described as an architecture practice. In the Cohesive System Model, the technical mechanics are captured by event sourcing as a realization substrate pattern.
architecture practice
Event-Driven Architecture addresses the problem of coordinating independent participants through event flow rather than direct synchronous control.
architecture practice
Microservices address the problem of independent ownership, deployment, scaling, and evolution across bounded capabilities.
architecture practice
The modular monolith addresses the problem of maintaining strong internal boundaries and cohesive change units without paying the operational cost of distributed deployment.
pattern
Ports and Adapters addresses the problem of keeping domain and application semantics independent from specific infrastructure, protocols, user interfaces, and external systems.
pattern
Sagas and process managers address the problem of coordinating long-running, multi-step work across boundaries where one atomic transaction is unavailable or inappropriate.
pattern
The transactional inbox addresses the consumer-side problem of processing a delivered input exactly once in domain meaning when the delivery substrate may redeliver it.
pattern
The transactional outbox addresses the problem of committing local state change and publishing a message without relying on a distributed transaction between the database and broker.
architecture practice
Weak isolation patterns are architecture practices for preserving useful correctness when one ACID transaction or two-phase commit boundary is unavailable, too expensive, or misaligned with the domain process.
Named practices interpreted as cross-realm bundles of problems, constraints, and realization choices.