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Interaction Unit

Ontological element that represents Actors (individuals, groups, basic or compound).

Guiding Questions:

  • What is its relationship to other concepts such as social action and agency?
  • What properties or attributes define an interaction unit (e.g., boundaries, capabilities, internal structure, persistence)?
  • How to characterize actor interactions?
  • ...
  • What is the nature of the internal changes of an actor? How can internal mental states be used to infer external dynamics?
  • How does the actor participate in or induce changes in the state of its environment?

Formulation

What is an interaction unit in a social region? A bounded and recognizable entity capable of interacting with the environment and with other actors within a social region.

How can the interaction unit be characterized? What is the ontic tructure of such entity?

Characterization Scheme

Category Subcategory Aspect Description Note(s)
State Structure Composition Internal components that constitute the interaction unit (members, roles, resources). Participation Structure: single actor, dyadic, multi-actor, network
State Structure Boundaries Conditions that distinguish the unit from other actors and from the environment. Stability Properties: equilibrium-seeking, oscillatory, chaotic
State Structure Identity Persistent properties that allow the unit to be recognized as the same entity over time. Temporal Structure: event, sequence, continuous, iterative
Dynamics Processes Operational Processes Regular activities through which the unit operates and interacts. Temporal Structure: continuous process, iterative
Dynamics Phenomena Emergent Behavior Observable patterns that arise from the internal or collective dynamics of the unit. Intentionality: emergent vs designed
Dynamics Events Discrete Occurrences Specific actions or events produced by the unit in a social region. Temporal Structure: event, sequence
Dynamics Interaction Exchanges The unit’s observable interactions with other actors. Coordination Mode: hierarchy, market, network, institutional rule
Agency Capacities Action Capacity Ability of the unit to produce actions affecting other actors or the environment. Feedback Structure: positive, negative, adaptive learning
Agency Intentionality Goals / Motivations Objectives or motivations guiding the actions of the unit. Intentionality: intentional action vs side-effect
Agency Influence Interaction Power Ability to influence other actors or social processes. Participation Structure: single actor, dyadic, networked influence
Action Execution Performed Actions Observable behaviors resulting from agency and decision processes. Temporal Structure: event, sequence; Coordination Mode
Action Outcomes Consequences Effects of actions on other actors, social structures, or the environment. Feedback Structure: positive, negative, adaptive learning

Property Set

Feature Description
Agentive Entity Can be individual, group, organization, or compound social actor with intentional action.
Cognitive Capacity Possesses internal reflexivity enabling self-observation, interpretation, and behavioral adaptation.
Relational Focus Engages in interactions such as communication, cooperation, competition, and conflict.
Nested & Scalable Can be atomic (individual) or compound (group, institution), supporting multi-level analysis.
Boundary Has definable conceptual or physical boundaries distinguishing it from others and the environment.
Behavioral Repertoire Holds a set of possible actions, strategies, or roles constrained by norms, capabilities, and context.
State & Attributes Maintains an internal state or status that evolves through interactions and influences behavior.
Reflexivity Internal capacity for self-reference, learning, and modifying future behavior (intrinsic to unit).

Dynamics Type Space

| The Actor Dynamics Space classifies the types of environmental state changes in which an actor participates or which it induces. It provides a taxonomy of interaction patterns, processes, and events involving actors.

Type Description Characterization Instance(s)
Action Event Discrete action performed by an actor that changes some environmental state. Single-step state transition; localized effect; intentional or rule-triggered. Purchase transaction, issuing a command, signing a contract.
Interaction Event Discrete event involving multiple actors affecting shared states. Multi-actor coordination; mutual influence; synchronous or asynchronous. Negotiation, trade exchange, vote.
Process Dynamics Continuous or multi-step evolution of states induced by actor activity. Temporal sequence of actions; persistent causal chain; often institutionalized. Production process, policy implementation, research program.
Strategic Dynamics Iterative interaction where actors adjust actions based on expectations of others. Feedback loops; anticipation; adaptive decision-making. Price competition between firms, diplomatic bargaining.
Coordination Dynamics Actors align behavior to achieve compatible outcomes. Shared rules, conventions, or signaling mechanisms. Standard adoption, traffic coordination, scheduling.
Competition Dynamics Actors pursue incompatible goals over limited resources or positions. Rivalry; zero-sum or partially conflicting objectives. Market competition, election campaigns.
Cooperation Dynamics Actors jointly pursue shared or partially aligned objectives. Collective payoff structures; coordination of actions; trust mechanisms. Joint ventures, alliances, research collaborations.
Institutional Dynamics Actors modify or operate within rule systems governing behavior. Rule creation, enforcement, adaptation; institutional constraints. Legislative change, regulatory enforcement.
Diffusion Dynamics Propagation of behaviors, technologies, or information across actors. Network propagation; imitation or learning mechanisms. Technology diffusion, policy transfer, viral information spread.
Learning Dynamics Actors update internal models based on environmental feedback. Belief updating; reinforcement learning; adaptive strategies. Firm capability development, scientific discovery.
Network Formation Dynamics Actors create or dissolve relational ties with other actors. Link formation or dissolution; evolving interaction topology. Trade partnerships, alliances, social networks.
Resource Flow Dynamics Movement or allocation of resources between actors. Transfers of goods, capital, labor, information. Supply chains, financial transactions, migration flows.
Collective Emergence Dynamics Macro-level patterns arising from many actor interactions. Emergent behavior; aggregation effects. Market price formation, social norms.

Interaction

How to characterize actor interactions?

Category Dimension Description
Relational Tie Strength Measures how strong or persistent the relationship is between actors.
Relational Reciprocity / Exchange Indicates the balance and mutuality of interactions.
Relational Dependency How much one actor relies on another to achieve goals or maintain operations.
Relational Network Position Role of the actor within the social network or interaction system.
Temporal Synchronization Measures how well actors align their actions over time.
Temporal Sequence / Order Captures the sequential structure of interactions and potential causality.
Content Communication What is exchanged—information, directives, norms, or resources.
Content Conflict / Negotiation How actors manage disagreements, compete, or negotiate.
Contextual Environment / Setting External conditions that shape or constrain the interaction.
Contextual Norms / Rules Institutional or social rules that influence interaction patterns.
Outcome Influence / Effect Observable impact of interactions on other actors or the system.
Outcome Emergent Patterns Higher-order patterns resulting from repeated interactions among actors.

Agency

How to characterize an agent’s internal cognition that drives its actions?

Category Dimension Description
Cognition Knowledge / Beliefs Internal representations that the agent uses to interpret the environment and make decisions.
Cognition Reasoning / Planning Mechanisms by which the agent evaluates options and anticipates outcomes.
Cognition Learning / Adaptation Ability of the agent to adjust strategies or beliefs based on outcomes or environmental change.
Intentionality Goals / Motivations Desired outcomes that guide behavior and choice.
Intentionality Preferences / Values Criteria for selecting actions among alternatives based on internal priorities.
Decision Action Selection Processes by which an agent selects a specific action among feasible options.
Decision Uncertainty Handling How the agent accounts for uncertainty in the environment when making decisions.
Capability Resource Mobilization Internal and external resources the agent can deploy to execute actions.
Capability Influence / Control Ability to affect other actors or system states through actions.
Temporal Cognition Memory / Persistence How past experiences inform present and future decisions.

Quaisy Interacton Unit

A Quaisy Interaction Unit (QI Unit) represents a bounded social actor or collective within a social system. It is a flexible unit of analysis that can range from an individual entity to a larger organized group, depending on the context. Each QI Unit can be characterized by its state, dynamics, agency, and actions.

QI Unit Type Description Instance(s)
Country Nation-state, including its administrative, social, and economic structures. Dominican Republic, Japan, Germany
Social Group Community, ethnic group, or professional association with internal cohesion. Local neighborhoods, cultural communities, professional guilds
Organization Firm, NGO, institution, or formal association that acts collectively. Tech companies, universities, Red Cross chapters
Family / Household Small, tightly-knit group acting as a basic social unit. Nuclear family, extended family, shared households
Virtual / Networked Group Online communities, forums, or decentralized collectives. Reddit communities, open-source software projects, Discord servers
Other Any other bounded entity that can be analyzed as an interaction unit. Project teams, coalitions, temporary alliances, task forces

References

  • Simon, H.A. Administrative Behavior (1947) – Bounded rationality, decision-making.
  • von Neumann, J., & Morgenstern, O. Theory of Games and Economic Behavior (1944) – Strategic reasoning.
  • Ostrom, E. Governing the Commons (1990) – Collective action and institutions.
  • Kahneman, D. Thinking, Fast and Slow (2011) – Heuristics and cognitive biases.
  • Aumann, R.J. (1976) – Rationality and common knowledge in game theory.
  • Actor
  • Onticity
  • Actor Catalog
  • García Sánchez, Ester. El concepto de actor: Reflexiones y propuestas para la ciencia política. Andamios 3.6 (2007): 199-216.
  • Actors
  • Agency
  • Action
  • Actor Taxonomy