KQML

Knowledge Query and Manipulation Language — one of the first ACLs, developed in the early 1990s by the ARPA Knowledge Sharing Effort. Performative-based, separating content language from communication.

Primary sources

Agent Communication Languages
FIPA-ACL — the standardised successor
Speech Act Theory
Ontolingua Portable Ontology Specifications — companion Knowledge Sharing Effort project
A Common Ontology Of ACLs
Verifiable Semantics for ACLs

Backlinks

Verifiable Semantics for ACLs line 18
ACRE Agent Conversation Reasoning Engine line 28
ACL Layering line 7
Survey Of AI Agent Protocols line 29
Foundations Of Illocutionary Logic line 19
The BOID Architecture line 30
Survey Of Agent Interoperability Protocols line 28
Survey Of Agent Interoperability Protocols line 27
Survey Of Agent Interoperability Protocols line 21
SKTP line 7
Trends in Agent Communication Language line 20
Common Business Communication Language line 26
Common Business Communication Language line 18
Ontologies line 13
A Scalable Communication Protocol for Networks of LLMs line 19
Toward Automated Evolution of ACLs line 19
KQML as an Agent Communication Language line 32
KQML as an Agent Communication Language line 18
README line 22
index line 8
Performatives line 7
Speech Act Theory line 11
Ontolingua Portable Ontology Specifications line 20
FIPA-ACL line 3
concept-map line 130
concept-map line 26
concept-map line 12
The State of the Art in Agent Communication Languages line 35
The State of the Art in Agent Communication Languages line 19
Agent Communication Languages line 6
Principled Design Of The Modern Web Architecture line 27
Semantics and Conversations for an ACL line 20
KQML Language And Protocol line 30
KQML Overview line 35
KQML Overview line 18
Agent-Oriented Programming line 25
Agent Communication Languages - Rethinking the Principles line 20
Why AI Agents Communicate In Human Language line 28
ACL Rethinking Principles line 19
Coordinating Agents Using ACL Conversations line 18
Multiagent Systems Sycara line 19
Facilitators line 6
KQML - A Language And Protocol For Knowledge And Information Exchange line 36
KQML - A Language And Protocol For Knowledge And Information Exchange line 34
KQML - A Language And Protocol For Knowledge And Information Exchange line 23
Facilitator Agents line 8
Mentalistic Semantics line 6

Linked Pages

Verifiable Semantics for ACLs

Verifiable Semantics for Agent Communication Languages

Reference: Michael Wooldridge (1998). ICMAS-98 (International Conference on Multi-Agent Systems). Source file: icmas98.pdf. URL

Summary

Wooldridge tackles a central problem for ACL standardization: how can an external observer verify that an agent conforms to an ACL’s semantics when semantics are expressed in modal BDI logic (beliefs, desires, intentions)? He formalizes an agent communication framework as a tuple containing agent programs, local states, a communication language, a semantic language, and interpretation functions, and defines precisely what it means for a framework to be verifiable: whether one can decide, from program text alone, that the semantic conditions for a sent message are satisfied.

He shows that KQML and FIPA-97 ACL, which define the “sincerity condition” for an inform act using multi-modal quantified logics like SL, are not practically verifiable — deciding whether an agent program really believes what it says requires checking undecidable properties. In contrast, he gives two example frameworks with verifiable (even co-NP-complete) semantics by grounding meaning in program states rather than unobservable mental attitudes. The paper’s upshot: practical ACL conformance testing requires public, state-based semantics.

Key Ideas

Formal agent communication framework as a 2n+4 tuple.
Verifiability = decidability of semantic conformance from program text.
KQML and FIPA-97 semantics (SL modal logic) are not practically verifiable.
Grounding semantics in program states yields co-NP-complete verifiability.
Motivates social/public commitment-based ACL semantics.

Connections

Conceptual Contribution

Claim: An ACL standard is only useful if one can check whether an implementation respects it; existing ACLs (KQML, FIPA-97) whose semantics are given in multi-modal BDI logics are not practically verifiable, so ACL semantics should instead be grounded in program states.
Mechanism: Formalises an agent communication framework as a (2n+4)-tuple of agent programs, local states, communication language L_C, semantic language L_S, and interpretations; defines verifiability as decidability (in polynomial time) of whether an agent program respects a message’s semantic precondition; shows FIPA’s SL semantics undecidable; constructs two verifiable example frameworks (classical propositional logic, grounded propositional epistemic logic) with co-NP-complete verification.
Concepts introduced/used: Verifiable Semantics, Agent Communication Framework, Sincerity Condition, Grounded Semantics, Program Semantics, Model Checking, BDI Logic, Mentalistic Semantics
Stance: formal-semantic / critique
Relates to: Formal companion to ACL Rethinking Principles — Singh’s social-agency argument becomes Wooldridge’s verifiability theorem. Undermines the semantic ambitions of KQML Overview and FIPA-ACL; motivates commitment-based approaches such as Agent Communication And Institutional Reality and the program-grounded framework in Foundations Of Illocutionary Logic.

Tags

A Common Ontology Of ACLs

A Common Ontology of Agent Communication Languages: Modeling Mental Attitudes and Social Commitments using Roles

Reference: Boella, Damiano, Hulstijn, van der Torre (2006). Applied Ontology 3(1-3). Source file: ao07b.pdf. URL

Summary

The authors propose a common ontology that bridges the two dominant semantic traditions for Agent Communication Languages: mental-attitude-based semantics (FIPA-ACL) and social-commitment-based semantics (Singh, Colombetti). The unifying device is the role: each agent plays role instances in dialogue sessions, and both beliefs/intentions and commitments are attributed to role instances rather than to private mental states, sidestepping the unverifiability problem.

They develop Role-SL, a BDI logic extended with roles and dialogue sessions, then show translation schemes from FIPA speech acts and from action/propositional commitment semantics into this role-based ontology. The framework accommodates mixed dialogues (e.g., persuasion intertwined with negotiation) that neither tradition handles cleanly alone.

Key Ideas

Roles as first-class carriers of public mental attitudes.
Role-SL: extension of FIPA-SL with role instances and dialogue sessions.
Mappings from FIPA-ACL and commitment-based ACLs into one ontology.
Public beliefs/intentions sidestep mental-state unverifiability.
Distinguishes action commitments (request/propose) from propositional (assert/challenge).

Connections

Conceptual Contribution

Claim: Mental-attitude and social-commitment ACL semantics can be unified under a common ontology by attributing both to roles instantiated in dialogue sessions, rather than to private agent minds.
Mechanism: Extends FIPA-SL into Role-SL (BDI + roles + dialogue sessions); provides translation schemes from FIPA speech acts and from action/propositional commitment semantics; handles mixed dialogues (persuasion + negotiation).
Concepts introduced/used: Roles, BDI, Commitment-based Semantics, Mental Attitudes, Mentalistic Semantics, Public Semantics, Verifiable Semantics, Dialogue Sessions, FIPA-ACL, Speech Act Theory, Ontologies, Agent Communication Languages
Stance: formal-semantic
Relates to: Bridges the two traditions typified by FIPA-ACL (mentalist) and Agent Communication And Institutional Reality (commitment-based); uses ontology machinery catalogued in Handbook On Ontologies.

Tags

Ontolingua Portable Ontology Specifications

A Translation Approach to Portable Ontology Specifications

Reference: Thomas R. Gruber (1993). Knowledge Acquisition, 5(2):199-220 (KSL Technical Report KSL-92-71). Source file: ontolingua-kaj-1993.pdf. URL

Summary

Gruber’s landmark paper defines an ontology as “an explicit specification of a conceptualization” — a formal vocabulary of classes, relations, functions, and axioms that captures the intended meaning of terms shared among knowledge-based systems. He addresses the portability problem: ontologies need to be reused across applications built in different representation languages (frame-based, description-logic, relational, Prolog), which would otherwise each need bespoke versions.

The solution is Ontolingua, a system that specifies ontologies in a standard declarative form (predicate calculus extended with KIF and frame-ontology idioms) and translates them into the forms required by specific target representation systems. The approach accommodates stylistic differences across representations while preserving declarative content, and handles translation from an expressive source into restricted targets. The paper articulates criteria for good ontology design (clarity, coherence, extendibility, minimal encoding bias, minimal ontological commitment) that still guide knowledge-engineering practice today.

Key Ideas

Ontology = explicit specification of a conceptualization.
Ontological commitments as agreements about shared vocabulary.
Translation approach: one source language → many target representations.
Ontolingua built atop KIF and a frame ontology.
Design criteria: clarity, coherence, extendibility, minimal encoding bias.

Connections

Conceptual Contribution

Claim: Shared knowledge among heterogeneous AI systems requires explicit, portable specifications of conceptualisations — ontologies — that can be defined once in a neutral declarative form and mechanically translated into many target representation systems while preserving declarative content.
Mechanism: Defines “ontology” as explicit specification of a conceptualisation; introduces ontological commitments as vocabulary-sharing agreements at the knowledge level (Newell); implements Ontolingua in KIF (Lisp-like predicate calculus with equality) with a Frame Ontology capturing class/relation/function/axiom idioms; provides translators to LOOM, Epikit, Express, and pure KIF. Proposes design criteria: clarity, coherence, extendibility, minimal encoding bias, minimal ontological commitment.
Concepts introduced/used: Ontology, Conceptualization, Ontological Commitment, KIF, Frame Ontology, Ontolingua, Knowledge-Level Specification, Translation Approach, Ontology Design Criteria
Stance: foundational / engineering
Relates to: Solves the content-language side of the problem that KQML Overview splits into content/message/communication layers; cited by virtually all agent-communication work needing shared vocabulary including FIPA-ACL, A Common Ontology Of ACLs, and Handbook On Ontologies; design criteria still guide modern ontology engineering.

Tags

Speech Act Theory

Philosophy-of-language framework (Austin, Searle, Vanderveken) in which utterances perform actions (illocutionary acts) — the semantic backbone of most Agent Communication Languages.

Sources

Foundations Of Illocutionary Logic — Searle & Vanderveken
Three Models for the Description of Language — Chomsky, foundations
Agent Communication And Institutional Reality

Applied in

FIPA-ACL

The Foundation for Intelligent Physical Agents Agent Communication Language — a standardised successor to KQML, defining performatives with mentalistic semantics (beliefs/intentions of sender and receiver).

Discussed in

Agent Communication Languages

A concept hub for agent communication languages (ACLs): languages whose speech acts let software agents exchange beliefs, goals, and commitments.

Canonical Languages

KQML — original knowledge-query language
FIPA-ACL — standardised successor

Surveys & Principles

The State of the Art in Agent Communication Languages
Trends in Agent Communication Language
ACL Rethinking Principles — Singh, mental vs. social semantics
Agent Communication Languages - Rethinking the Principles
A Common Ontology Of ACLs
Toward Automated Evolution of ACLs
Towards Automating the Evolution of Linguistic Competence

Semantics

Conversations & Protocols

Domain instances

Common Business Communication Language

KQML Language And Protocol

KQML - A Language and Protocol for Knowledge and Information Exchange

Reference: Finin, Fritzson, McKay, McEntire (1994). AAAI Technical Report WS-94-02 (ARPA Knowledge Sharing Effort). Source file: 741.pdf. URL

Summary

This paper describes the design of the Knowledge Query and Manipulation Language (KQML), an agent communication language developed under the ARPA Knowledge Sharing Effort. KQML is both a message format and a message-handling protocol supporting run-time knowledge sharing among cooperating intelligent agents. Its core contribution is an extensible set of performatives (speech-act-style operations such as tell, ask-if, ask-all, subscribe, advertise, broker, recruit) that define what an agent may do with another agent’s knowledge and goal stores.

KQML is organised as three layers - content, message, and communication - where the message layer carries a performative and metadata while the content layer is treated as opaque (often KIF). The paper introduces facilitators - special agents that coordinate others via content-based routing, brokering, recruiting, and matchmaking - and describes KRILs (KQML Router Interface Libraries) for embedding KQML into Lisp, Prolog, C, and SQL applications.

Key Ideas

Performative-based messaging grounded in speech act theory.
Three-layer architecture: content, message, communication.
Facilitators for content-based routing, brokering, recruiting.
KRILs as embedding libraries for existing systems.
Prototype uses: ARPA Rome Planning Initiative, CAD/CAM, intelligent databases.

Connections

Conceptual Contribution

Claim: Knowledge sharing among heterogeneous intelligent agents is best realised by a layered, performative-based message protocol whose content is opaque and whose routing is mediated by special facilitator agents.
Mechanism: Defines a three-layer architecture (content / message / communication), a set of extensible performatives grounded in Speech Act Theory, facilitators for brokering/recruiting/matchmaking, and KRIL embedding libraries for Lisp/Prolog/C/SQL.
Concepts introduced/used: KQML, Performatives, Facilitators, Content Languages, KIF, Speech Act Theory, Ontologies, Multi-Agent Systems, Agent Communication Languages
Stance: foundational / engineering
Relates to: Direct philosophical descendant of Foundations Of Illocutionary Logic and sibling proposal to Common Business Communication Language; becomes the ancestor that FIPA-ACL, Agent Communication And Institutional Reality, A Common Ontology Of ACLs, and the modern surveys (Survey Of AI Agent Protocols, Survey Of Agent Interoperability Protocols) all build on or critique.

Tags

KQML as an Agent Communication Language

Reference: Tim Finin, Richard Fritzson, Don McKay, and Robin McEntire (1994). CIKM ’94 (Proceedings of the Third International Conference on Information and Knowledge Management). Source file: 191246.191322.pdf. URL

Summary

Foundational paper on the Knowledge Query and Manipulation Language (KQML), developed under the ARPA Knowledge Sharing Effort. KQML is both a message format and a message-handling protocol for run-time knowledge sharing among intelligent agents. It builds on speech-act theory: each message (a performative) carries an illocutionary force (ask, tell, subscribe, advertise, recommend, broker, recruit, etc.) atop a content language (often KIF) and an ontology reference.

The paper describes the three-layer structure (content / message / communication), facilitator agents that provide matchmaking, brokering and content-based routing, and implementations including routers, facilitators, and KRIL interface libraries. KQML became the reference point against which later ACLs (notably FIPA-ACL) were designed.

Key Ideas

Performatives as speech-act-inspired message types
Separation of content language, message layer, and transport
Facilitators for advertise/subscribe, brokering, recruitment, routing
Reserved performatives: ask-if/ask-all, tell, stream-all, subscribe, monitor, advertise, recruit
KIF + ontologies as the assumed content layer

Connections

Conceptual Contribution

Claim: Interoperable knowledge sharing among heterogeneous intelligent agents requires a three-layer communication language (content / message / communication) whose message layer is built from speech-act-inspired performatives, and whose runtime infrastructure provides facilitator agents for matchmaking and brokering.
Mechanism: Specify ~30 reserved performatives (ask-if, tell, subscribe, advertise, recruit, broker-one, …) that wrap a content expression (typically KIF) with an ontology reference and transport metadata; implement via routers, facilitators, and per-application KRIL interface libraries; demonstrate advertise/subscribe, content-based routing, and recruitment patterns.
Concepts introduced/used: KQML, Performatives, Speech Act Theory, Facilitators, Facilitator Agents, Mentalistic Semantics, KIF, Ontologies, Agent Communication Languages, Conversation Policy, Interaction Protocols
Stance: engineering / standard-proposal
Relates to: Foundational reference against which FIPA-ACL, A Common Ontology Of ACLs, ACL Rethinking Principles, and Agent Communication Languages - Rethinking the Principles argue (over mentalistic vs commitment-based semantics). Performatives-as-protocol anticipates Agora’s Protocol Documents in A Scalable Communication Protocol for Networks of LLMs and the MCP/A2A/ANP layer of modern LLM agents (Model Context Protocol, Agent-to-Agent Protocol, Agent Network Protocol).

Tags

KQML Overview

An Overview of KQML: A Knowledge Query and Manipulation Language

Reference: KQML Advisory Group — Tim Finin, Don McKay, Rich Fritzson (and Hans Chalupsky, Stuart Shapiro, Gio Wiederhold) (1992/1993). Technical report, DARPA Knowledge Sharing Effort. Source file: kqmloverview.pdf. URL

Summary

This foundational technical report introduces KQML, the language and protocol designed under the DARPA-sponsored Knowledge Sharing Effort to enable interoperability among heterogeneous intelligent agents and knowledge-based systems. It identifies the canonical module types — End User Applications (EUAs), Knowledge-Based Systems (KBs), Knowledge Base Repositories (KBRs), Databases (DBs), and Active Sensors (ASs) — and enumerates the fifteen possible interfaces between them, selecting KB-to-KB knowledge interchange as the central target.

KQML is organized as three layers: a content layer (domain content in KIF or other logic), a message layer (performatives like tell, ask-one, subscribe, advertise, register), and a communication layer (sender, receiver, reply-ids, transport). The report details performatives, facilitators/routers (SKTP), ontology/topic matching, and a Prolog-based implementation. It set the vocabulary and architectural template for nearly all subsequent agent-communication work.

Key Ideas

Three-layer design: content, message, communication.
Performatives as named speech-act-like primitives (tell, ask, subscribe, advertise).
Facilitators/mediators (SKTP) for routing and knowledge-based-service discovery.
Module taxonomy: EUA, KB, KBR, DB, AS.
Separation of content language (KIF) from communication language (KQML).

Connections

KQML
FIPA-ACL
Agent Communication Languages
Ontologies
Speech Act Theory
Performatives
Facilitators
KQML Language And Protocol — journal companion
KQML as an Agent Communication Language — tutorial companion
KQML - A Language And Protocol For Knowledge And Information Exchange — 1994 workshop original
KIF
Mentalistic Semantics
Conceptualization

Conceptual Contribution

Claim: Large heterogeneous knowledge-based systems need a standard high-level language and protocol for interchange that separates domain content (ontologies/KIF) from communicative intent (performatives) and from transport — KQML provides this missing middle layer.
Mechanism: Defines module taxonomy (EUA, KB, KBR, DB, AS) and their 15 interfaces; proposes KQML’s three-layer architecture (content / message / communication); specifies performatives (tell, ask-one/all, stream, subscribe, advertise, register, broker, recruit, recommend) inspired by speech acts; specifies SKTP (facilitator) protocol for routing, ontology matching, and service discovery; gives a Prolog reference implementation.
Concepts introduced/used: KQML, Performatives, Facilitator, SKTP, Content Language, KIF, Knowledge Sharing Effort, Ontology Matching, Speech Acts
Stance: engineering / foundational
Relates to: The language critiqued in ACL Rethinking Principles and Verifiable Semantics for ACLs for its mentalistic informal semantics; its performatives are inherited by FIPA-ACL and the conversation work in Coordinating Agents Using ACL Conversations; its ontology-sharing aspirations are addressed by Ontolingua Portable Ontology Specifications.

KQML

Primary sources

Related

Backlinks