Augmenting Agent Computational Environments with Quantitative Reasoning Modules and Customizable Bridge Rules.
Stefania CostantiniAndrea FormisanoPublished in: AAMAS Workshops (Visionary Papers) (2016)
Keyphrases
- reasoning process
- dynamic environments
- rule based reasoning
- production rules
- multi agent systems
- resource bounded
- multi agent
- reasoning engine
- cognitive agents
- conflicting information
- rule based systems
- multiple agents
- multi context systems
- modular ontologies
- reasoning and decision making
- meta rules
- autonomous agents
- multi agent environments
- default rules
- bdi agents
- uncertain information
- reasoning mechanism
- association rules
- rule sets
- quantitative measures
- open systems
- incomplete knowledge
- knowledge base
- multiagent systems
- inference engine
- logical rules
- reasoning mechanisms
- agent model
- computational models
- multi agent decision making
- qualitative models
- information gathering
- artificial intelligence
- software agents
- intelligent agents
- decision making
- learning mechanisms
- qualitative reasoning
- action selection
- open environments
- agent architecture
- qualitative and quantitative
- mobile agents
- knowledge representation
- reinforcement learning