Decision Making
Decision making is the cognitive process through which an AI agent evaluates alternatives and selects, defers, or rejects a course of action under goals, evidence, constraints, and uncertainty.
Decision making in an AI agent is the governed process through which candidate alternatives are evaluated and one course is selected or deferred according to reasoning, goals, intentions, drives, constraints, expected consequences, evidence quality, and uncertainty.
In short
- →Decision making converts alternatives into cognitive commitment.
- →It is distinct from reasoning, planning, behavior selection, and action.
- →Goals, intentions, drives, reasoning confidence, and constraints can affect decision priority.
- →Memory and knowledge can influence decisions indirectly through reasoning.
- →Decision Quality evaluates whether concrete actions are sufficiently justified for execution.
- →A valid outcome can be no selection when evidence is insufficient.
Definition
Decision making evaluates alternatives and determines which direction should currently receive commitment or whether commitment should be deferred.
The result is a cognitive selection, not necessarily an immediately executable action.
Decision Making vs. Reasoning
Reasoning derives implications from evidence. Decision making chooses among alternatives using those inferences together with goals, intentions, drives, policies, and constraints.
Decision Making vs. Planning
Decision making selects a direction. Planning structures future work for pursuing that direction or goal.
Decision Making vs. Action
A decision is a cognitive commitment. An action is an executable operation that may still require capability, admissibility, policy, and execution checks.
Decision Quality
Decision Quality evaluates whether concrete action candidates are sufficiently justified for execution.
It can consider admissibility, consequences, uncertainty, information sufficiency, and value of information.
Uncertainty and Information
When missing information is likely to change a decision, an agent can seek additional evidence rather than pretending certainty.
Information acquisition should remain bounded so decision improvement does not become endless research.
Decision Making in Loomia
In Loomia's current runtime, Decision is an explicit stage after Reasoning and before Planning.
The DecisionStage consumes reasoning together with goals, intentions, drives, and optional decision-quality state, while a separate Decision Quality layer evaluates concrete executable candidates under evidence and uncertainty.
Decision Making in AI Agents
Decision making in AI agents is the cognitive process of evaluating alternatives and committing to a selected course based on reasoning, goals, intentions, drives, constraints, evidence, and uncertainty.
glossaryReasoning
The cognitive process through which an AI agent interprets context, evidence, memory, knowledge, goals, and internal state to derive structured inferences.
glossaryPlanning
Planning in an AI agent is the process of constructing and revising structured paths from the current state toward an active goal.
glossaryGoal Management
Goal management is the process through which an AI agent represents, prioritizes, monitors and governs desired future states across time.
glossaryAttention
Attention in an AI agent is the process that prioritizes which available observations, memories, goals and internal states receive cognitive processing.
glossaryWorking Memory
Working memory in an AI agent is the limited and dynamically updated information state currently available to active cognition.
glossaryCognitive Continuity
Cognitive continuity is the ability of an AI agent to preserve, retrieve, update and evolve the internal structures that influence its behavior across interactions and over time.
glossaryPersistent AI Agent
A persistent AI agent is an AI agent whose behavior can be influenced by durable internal state that survives individual interactions and can be retrieved, updated and evolved over time.
glossaryBehavior Generation
Behavior generation is the process through which an AI agent converts its current cognitive state into candidate behaviors that can be ranked and selected before execution.
glossaryAction Execution
Action execution is the governed process through which an AI agent attempts to turn an operational action representation into an actual effect.