KQML as an agent communication language
Software agents
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Business Process Modelling
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
Knowledge Engineering: Unifying Knowlegde Base and Database Design
Knowledge Engineering: Unifying Knowlegde Base and Database Design
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Agents of Change in Business Process Management
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
Designing and Implementing a Multi-Agent Architecture for Business Process Management
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
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Intelligent agents should be autonomous, cooperative and adaptive. An intelligent multi-agent architecture for business process applications also supports maintenance and extensibility. Agent adaptivity is based on observations of the agent's environment, of the results of previous agent decisions, and of estimated reasons for those results being what they were. Maintainability enables agents to do things that are both correct and politically astute. Extensibility enables the agents to develop ways for doing new things. Agent autonomy and cooperation are achieved by building the architecture on a three-layer BDI, hybrid, multi-agent architecture.