Attention, intentions, and the structure of discourse
Computational Linguistics
Intention is choice with commitment
Artificial Intelligence
Artificial Intelligence
Communications of the ACM
A semantics approach for KQML—a general purpose communication language for software agents
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Reasoning about knowledge
The repair of speech act misunderstandings by abductive inference
Computational Linguistics
Collaborative plans for complex group action
Artificial Intelligence
COLLAGEN: when agents collaborate with people
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Semantics and conversations for an agent communication language
Readings in agents
Exception handling in agent systems
Proceedings of the third annual conference on Autonomous Agents
On agent-based software engineering
Artificial Intelligence
Agent-based software engineering
First international workshop, AOSE 2000 on Agent-oriented software engineering
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Software Engineering with Agents: Pitfalls and Pratfalls
IEEE Internet Computing
Agent Communication Languages: The Current Landscape
IEEE Intelligent Systems
Investigating Interactions between Agent Conversations and Agent Control Components
Issues in Agent Communication
What Is a Conversation Policy?
Issues in Agent Communication
Communication Protocols in Multi-agent Systems: A Development Method and Reference Architecture
Issues in Agent Communication
An Approach to Using XML and a Rule-Based Content Language with an Agent Communication Language
Issues in Agent Communication
On Abstract Models and Conversation Policies
Issues in Agent Communication
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Interaction Protocols in Agentis
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Protocol discovery in multiprotocol networks
ICCCN '95 Proceedings of the 4th International Conference on Computer Communications and Networks
Environment Centered Analysis and Design of Coordination Mechanisms
Environment Centered Analysis and Design of Coordination Mechanisms
A tripartite plan-based model of dialogue
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
The use of knowledge preconditions in language processing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Task models, intentions, and agent conversation policies
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Agent-based project management
Artificial intelligence today
Specifying protocols for multi-agent systems interaction
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Using interaction models to detect and resolve inconsistencies in evolving service compositions
Web Intelligence and Agent Systems
Limits to the Autonomy of Agents
Proceedings of the 2008 conference on Current Issues in Computing and Philosophy
Negotiating autonomy and responsibility in military robots
Ethics and Information Technology
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An agent message is an attempted action upon the information state of the receiver that, if successful, would cause the receiver to move to a new information state. A model of normative communication can define when messages are not merely unsuccessful but instead are illegal or impossible actions upon the receiver's internal state. The model uses the preconditions of the other core message types, coupled with a model of task interdependencies, agent roles, and belief-desire-intention elements, to define the preconditions for sending a canonical not-understood error message. By defining the space of messages that are legal actions on an agent's internal state, a normative communication model also defines a set of `reasons' that can accompany the error message. A not-understood error message signals a mismatch between agent interaction models and the accompanying reason opens the possibility for agents to realign their respective models. The paper discusses the matters arising from this possibility. This approach assumes that normative communication behavior reflects normative domain behavior. It also assumes that each agent accesses the normative model, in contrast with more centralized frameworks for defining normative interaction among agents and identifying interaction errors.