Belief–Desire–Intention Model¶

BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.

Version: v1 · 2026-09-28 · History
Domain-specific #: 8155
Domain group: Applied Sciences & Engineering
Origin domain: Computer Science & Software Engineering
Subdomains: Multi Agent Systems, Agent Architectures → Computer Science & Software Engineering

Core Idea¶

Belief–Desire–Intention Model is treated here as the recurring formal models and representations identity summarized by this source-grounded definition: BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories. For popular psychology, the belief–desire–intention (BDI) model of human practical reasoning was developed by Michael Bratman as a way of explaining future-directed intention. BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.

How would you explain it like I'm…

Think, Want, Decide

The Belief–Desire–Intention Model says we act by thinking about three things: what we believe is true ('there's a cookie jar'), what we want ('I want a cookie'), and what we've decided to do ('I'll get one after dinner'). Once you've decided, you stop thinking about lots of other choices.

Beliefs, Wants and Plans

The Belief-Desire-Intention (BDI) model is a way of explaining how people decide what to do. Beliefs are what you think about the world, desires are what you want, and intentions are the plans you've committed to. The philosopher Michael Bratman developed it to explain plans for the future. It rests on the everyday idea that our understanding of the world works like a theory in our heads. Computer programs called BDI agents use the same idea: committing to an intention saves time by ruling out choices that don't fit the plan.

Intention-Guided Practical Reasoning

The Belief-Desire-Intention (BDI) model, developed by Michael Bratman, explains practical reasoning and especially future-directed intention using three attitudes: beliefs about the world, desires about outcomes, and intentions, which are commitments to act. It is grounded in folk psychology in the 'theory theory' sense, the idea that our mental models of the world function as theories. Intentions do special work: once formed, they limit further deliberation by eliminating options inconsistent with them. This idea inspired the BDI software architecture for intelligent agents, which Bratman helped develop, and it was later used for a computational model of childlike reasoning called CRIBB.

The Belief-Desire-Intention model is Michael Bratman's account of human practical reasoning, built to explain future-directed intention. It decomposes agency into beliefs (the agent's informational state), desires (motivational states or goals), and intentions (committed plans that persist and guide action). The model depends fundamentally on folk psychology understood via the 'theory theory,' on which our mental models of the world are theories. Its distinctive claim is functional: intentions constrain subsequent deliberation, screening out options inconsistent with current commitments, which bounds the time an agent spends deciding. This became the basis of the BDI software architecture for rational agents, in whose development Bratman was involved, and of CRIBB, a computational model of childlike reasoning. The concept is specifically this belief-desire-intention decomposition grounded in folk-psychological theory, not any agent architecture with goals.

Scope of Application¶

Applications. BDI has also aroused some interest in psychology.
Documented setting. It was used as a basis for developing the belief–desire–intention software model.
Applications. BDI was part of the inspiration behind the BDI software architecture, which Bratman was also involved in developing.
Applications. Here, the notion of intention was seen as a way of limiting time spent on deliberating about what to do, by eliminating choices inconsistent with current intentions.
Applications. BDI formed the basis for a computational model of childlike reasoning CRIBB.

Clarity¶

A clear use of Belief–Desire–Intention Model names the carrier, the operative relation, and the conditions under which the source treats the identity as present. The minimal definition is BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.

Manages Complexity¶

Belief–Desire–Intention Model compresses multiple formal models and representations details into a stable diagnostic relation. The source shows both the central mechanism—bDI formed the basis for a computational model of childlike reasoning CRIBB.—and the practical consequence—bDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.

Abstract Reasoning¶

Type the carrier. Identify the formal models and representations entities to which the claim applies.
State the relation. Use the source-grounded identity: BDI is fundamentally reliant on folk psychology (the 'theory theory'), which is the notion that our mental models of the world are theories.
Check operation and conditions. For popular psychology, the belief–desire–intention (BDI) model of human practical reasoning was developed by Michael Bratman as a way of explaining future-directed intention.
Demand recognition evidence.

Knowledge Transfer¶

Within the home domain. Knowledge about Belief–Desire–Intention Model transfers literally when a new case preserves the same carrier type, relation, and recognition test. BDI has also aroused some interest in psychology. It was used as a basis for developing the belief–desire–intention software model. Beyond the home domain. No canonical parent is asserted for Belief–Desire–Intention Model. An outside case receives the specialist name only when the same typed roles and rejection conditions can be filled literally; otherwise the comparison remains an analogy pending later graph densification.

Relationships to Other Abstractions¶

Current abstraction Belief–Desire–Intention Model Domain-specific

Parents (1) — more general patterns this builds on

Belief–Desire–Intention Model is a kind of Formal Model Domain-specific

It formally represents agent attitudes and practical reasoning.

Hierarchy path (1) — routes to 1 parentless root

Belief–Desire–Intention Model → Formal Model → Representation → Abstraction

Neighborhood in Abstraction Space¶

Belief–Desire–Intention Model sits in a sparse region of the domain-specific corpus (84^th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.

Family — Unclustered & Miscellaneous (2551 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-10-08