Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Component-based software engineering: putting the pieces together
Component-based software engineering: putting the pieces together
Communications of the ACM
Conceptual Coordination: How the Mind Orders Experience in Time
Conceptual Coordination: How the Mind Orders Experience in Time
Machine Learning
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Role Modeling for Agent System Analysis, Design, and Implementation
IEEE Concurrency
Learning in multi-agent systems
The Knowledge Engineering Review
Agent-Based Software Development
Agent-Based Software Development
Agents in object-oriented software engineering
Software—Practice & Experience - Research Articles
Training compositional agents in negotiation protocols using ontologies
Integrated Computer-Aided Engineering
Taming heterogeneous agent architectures
Communications of the ACM - Web searching in a multilingual world
Aspect-oriented software development
Aspect-oriented software development
Separating learning as an aspect in Malaca agents
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
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Current Object-Oriented (OO) frameworks provided with Multi-Agent Systems (MASs) development toolkits incorporate core abstractions to implement the agent. However, these OO designs do not provide proper abstractions to modularise other extra-functional concerns (e.g., the learning property), which are normally intermingled with the agent functionality and spread over different classes or components The reusability of agent architectural components is drastically reduced, so agents are difficult to maintain, extend or adapt. Aspect-oriented technologies overcome these problems by modelling such concerns as aspects. This work proposes to separate and modularise the learning of software agents following the aspectoriented solution of the Malaca model.