Foundations of logic programming
Principles of knowledge representation
The BOID architecture: conflicts between beliefs, obligations, intentions and desires
Proceedings of the fifth international conference on Autonomous agents
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
Explanations, belief revision and defeasible reasoning
Artificial Intelligence
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Reasoning from desires to intentions: a dialectical framework
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
An argumentative reasoning service for deliberative agents
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
ANGLE: An autonomous, normative and guidable agent with changing knowledge
Information Sciences: an International Journal
Generating possible intentions with constrained argumentation systems
International Journal of Approximate Reasoning
Toward an argumentation-based dialogue framework for human-robot collaboration
Proceedings of the 14th ACM international conference on Multimodal interaction
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In this work, an agent architecture that combines defeasible argumentation and the BDI model is described. Argumentation will be used as a mechanism for reasoning about beliefs, for filtering desires considering the agent's current environment, and for selecting proper intentions. The approach allows to define different types of agents and this will affect the way in which desires are filtered and hence, which intention is selected. For performing defeasible reasoning, the approach uses a concrete framework based on a working defeasible argumentation system: Defeasible Logic Programming (DeLP). A set of filtering rules, represented as a defeasible logic program, will be used to represent reasons for and against adopting desires. Thus, based on its perceived or derived beliefs, the agent will argue about which of its desires are achievable in the current situation. To clarify the ideas two applications will be introduced to show two significantly different types of agent that can be implemented using this approach.