3.9 Open System Communication

Open system communication refers to the communicative behavior of systems that maintain active, regulated exchange of information with their environments—systems that are defined not by closure and self-sufficiency but by their ongoing transactions across their boundaries. The open system model, derived from Ludwig von Bertalanffy's general systems theory and given communicative application through cybernetics and communication systems thinking, provides the foundational framework for understanding how communication systems survive, function, and adapt in environments that are constantly changing and imposing new demands.

The Open System Model

An open system is a system that exchanges matter, energy, or information with its environment. In thermodynamic terms, closed systems move toward maximum entropy (disorder) through internal processes; open systems can maintain or increase their internal organization by importing low-entropy resources from the environment and exporting high-entropy outputs back to it. This entropy-reversing property is what makes life, mind, and social organization possible: all are open systems that maintain their organized complexity by continuous environmental exchange.

Communication systems are paradigmatically open: they cannot function without continuous input from their environments (new information, new participants, new challenges, new resources) and continuous output to their environments (messages, decisions, actions, relationships). The closedness of a communication system—its degree of insulation from environmental influence—is always a matter of degree, never an absolute: the relevant question is not whether a communication system exchanges with its environment but how, how much, and with what consequences it does so.

Open vs. Closed: A Spectrum

The conceptual contrast between open and closed systems defines a spectrum rather than a binary distinction:

At the closed end: communication systems that minimize environmental exchange, develop highly stable internal patterns, and resist external influence. A completely isolated community that never receives outside information, a bureaucratic organization that processes only internally generated documents, or a relationship couple that has entirely withdrawn from all social contact—all approach the closed end. Near-closed systems achieve stability at the cost of adaptability: they are resistant to disruption but unable to correct for discrepancies between their internal models and the actual environment.

At the open end: communication systems that maximize environmental exchange, maintain highly fluid internal structures, and are continuously reorganized by environmental influence. A highly permeable system that treats all environmental inputs as equally relevant, that changes its patterns with every new input, that maintains no stable internal organization against environmental fluctuation—such a system would have no consistent identity or characteristic behavior. Near-open systems achieve responsiveness at the cost of stability: they adapt to everything but maintain nothing.

Viable communication systems balance openness and closure: they are sufficiently open to receive the environmental information they need for adaptation and error correction, and sufficiently closed to maintain the stable internal organization that enables consistent, purposive functioning.

Equifinality in Open System Communication

One of the most important properties of open systems is equifinality: the capacity to reach the same final state from different initial conditions and through different developmental paths. In closed systems, the final state is determined by the initial state and the causal mechanisms operating on it; in open systems, the same organized final state can be reached through many different trajectories.

Equifinality in communication systems means that:

• The same communicative pattern or relational structure can develop through many different histories. Two organizations with similar cultures may have arrived at those cultures through entirely different developmental paths; two relationships with similar dynamics may have begun very differently.

• Knowing the current state of a communication system tells us little about how it got there. The developmental history cannot be read off the current state; many different histories are consistent with the same present configuration.

• Intervention can be targeted at the current state rather than the history. Because the same final state can be reached through different paths, there is no unique "correct" developmental pathway that must be retraced to achieve change. Effective intervention can aim directly at transforming the current communicative patterns without first undoing all the historical antecedents that produced them.

Equifinality challenges deterministic accounts of communication development and supports a more pragmatic, forward-looking approach to communication intervention: the relevant question is not "how did we get here?" but "what kind of communication can move us from here to there?"

Steady State, Not Equilibrium

Open systems maintain themselves not through static equilibrium but through dynamic steady state—continuous process activity that maintains relatively stable organizational patterns despite ongoing exchange with the environment.

The distinction between equilibrium and steady state is conceptually important:

Equilibrium describes the state of a closed system that has reached thermodynamic balance: all available work has been done, all gradients have been equalized, nothing more changes. An open system in true equilibrium would be dead: it would have ceased to import low-entropy resources and would be indistinguishable from its environment.

Steady state describes the dynamic balance of an open system that is continuously processing inputs and generating outputs, maintaining approximately stable internal organization through these processes. The open communication system in steady state is not static but actively dynamic: its stability is the stability of a river, maintained by continuous flow rather than by cessation of activity.

In communication terms, steady state means that a communicating couple, group, or organization maintains its characteristic patterns not by ceasing to communicate but by communicating continuously in patterns that reproduce those characteristics. The relationship's characteristic tone, the group's characteristic problem-solving approach, the organization's characteristic culture—all are steady states maintained by continuous communicative activity, not fixed properties that exist independently of the processes that produce them.

Negative Entropy and Information in Open Systems

Norbert Wiener and Claude Shannon both recognized the formal relationship between information and thermodynamic entropy: information can be understood as negative entropy (negenentropy)—the measure of order, organization, or constraint in a system.

Open communication systems maintain their organization—their negentropic character—by importing information from the environment and using it to regulate their own internal processes. The feedback signals that return the system's own outputs as inputs allow the system to detect deviations from its desired states and generate corrective actions—effectively using information to counteract the entropic tendency toward disorder.

In communication terms: an organization that receives rich, timely, accurate feedback about its performance can detect and correct errors before they accumulate into systemic dysfunction. A relationship that maintains open communication about partners' experiences, needs, and dissatisfactions can adapt to changing individual states before accumulated misunderstanding erodes relational functioning. The flow of information through feedback loops is the mechanism through which open communication systems maintain their organization.

Structural Coupling and Co-evolution

Open communication systems and their environments are not independent: each shapes the other through their ongoing transactions. This mutual shaping—structural coupling in Maturana and Varela's formulation—produces co-evolutionary dynamics in which system and environment develop together.

Structural coupling between a communication system and its environment occurs when the system's outputs become part of the environment that the system subsequently faces as inputs. An organization's communications to the public shape the public's attitudes and expectations, which become part of the organizational environment the organization must manage. A relationship's communication history shapes each partner's expectations and interpretations, which become part of the relational environment within which current communication occurs.

Over time, structurally coupled systems develop complementary structures—internal organizations that are adapted to each other through the history of their mutual influence. The communication styles, interpretive frameworks, and interaction patterns of a long-established relationship or organization reflect decades of structural coupling with a specific environmental context: they are well-adapted to that context but may be poorly suited to a different one.

Varieties of Open System Communication

Different communication system types exhibit different patterns of openness:

Interpersonal relationships as open systems are characterized by selective permeability to environmental influence filtered through each partner's individual selective attention and interpretive frameworks. The relationship environment includes the partners' respective social networks, cultural contexts, and biographical histories. Effective relationship communication requires both partners to engage openly with each other's environmental influences while maintaining the relationship's own distinctive patterns and commitments.

Organizations as open systems face complex multi-stakeholder environments that include customers, suppliers, regulators, competitors, employees, communities, and cultural contexts. Organizational communication research has extensively studied how organizations scan their environments, process environmental signals, adapt their communication practices, and manage stakeholder relationships. The boundary-spanning roles in organizations—public relations, marketing, government affairs, human resources—specialize in managing particular dimensions of the organization's environmental exchange.

Mass media as open communication systems operate within environments that include audiences, advertisers, governments, sources, competing media, and broader cultural contexts. The media system's openness to environmental signals (ratings, subscriber counts, advertising revenue, regulatory pressure, source relationships) determines how responsive media content is to environmental demands, and how well the media system functions in its environment-service role.

Public discourse systems as open communication systems operate within broader political, cultural, and technical environments. The emergence of digital communication platforms has dramatically increased the openness of public discourse systems by lowering barriers to participation, enabling rapid information diffusion, and creating new forms of feedback between audiences and producers. This increased openness has created both new communicative possibilities and new challenges for maintaining the quality of public deliberation.

Pathologies of Openness

Open system communication can exhibit pathological patterns at both extremes of the openness-closure spectrum:

Excessive closure creates communication systems that are cut off from the environmental feedback needed for error correction, adaptation, and reality testing. Highly closed communication systems develop increasingly idiosyncratic internal logics that may diverge dramatically from environmental reality. Cults, isolated communities, and rigid bureaucracies exhibit this pathology: their communication systems are insulated from corrective environmental feedback and therefore repeat errors indefinitely.

Excessive openness creates communication systems that are unable to maintain any consistent patterns against the pressure of environmental inputs. Systems overwhelmed by environmental demands lose their organizational coherence and communicative identity. Information overload, identity diffusion, and decision paralysis are communicative symptoms of excessive openness.

Selective closure describes the pathological pattern in which a communication system is closed to specific categories of environmental input—particularly to feedback that would be threatening or disruptive—while remaining open to reinforcing inputs. Selective closure enables the system to maintain comfortable illusions while being nominally "open" to the environment. Organizational echo chambers, relational avoidance of difficult conversations, and political filter bubbles are examples of selective closure that maintains the appearance of openness while systematically excluding corrective feedback.

The design of healthy open communication systems requires careful management of the system's relationship with its environment: sufficient openness for adaptation and error correction, sufficient closure for organizational stability and identity coherence, and non-selective rather than defensive management of the boundary between them.