Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
Autonomous Agents and Multi-Agent Systems
The Role of Castes in Formal Specification of MAS
PRIMA 2001 Proceedings of the 4th Pacific Rim International Workshop on Multi-Agents, Intelligent Agents: Specification, Modeling, and Applications
A Scenario-Based Design Method and an Environment for the Development of Multiagent Systems
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
A formal specification language for agent-oriented software engineering
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Scenario Mechanism in Agent-Oriented Programming
APSEC '04 Proceedings of the 11th Asia-Pacific Software Engineering Conference
Towards an agent oriented programming language with caste and scenario mechanisms
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Agent Oriented Programming Based on SLABS
COMPSAC '05 Proceedings of the 29th Annual International Computer Software and Applications Conference - Volume 01
CAMLE: a caste-centric agent-oriented modelling language and environment
Software Engineering for Multi-Agent Systems III
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The paper presents a caste-centric approach to agentoriented programming by introducing SLABSp language. The fundamental concepts of caste-centric methodology, caste and scenario, as well as environment descriptions, are available as language facilities in SLABSp in a coherent way. In SLABSp programming, agents are organized into castes to represent their structure and behavior characteristics, and their behaviors are defined by scenarios and rules in the context of their environment. The relations between agents and castes are bound at runtime, and the perceptions and interactions between agents are supported with scenarios and behavior rules. Two selected SLABSp programs are demonstrated to illustrate the programming style.