Augmenting Agent Computational Environments with Quantitative Reasoning Modules and Customizable Bridge Rules.
Stefania CostantiniAndrea FormisanoPublished in: EMAS@AAMAS (2016)
Keyphrases
- dynamic environments
- rule based reasoning
- resource bounded
- quantitative measures
- reasoning process
- inference engine
- conflicting information
- reasoning mechanisms
- cognitive agents
- multi agent
- logical rules
- knowledge base
- modular ontologies
- meta rules
- reasoning engine
- qualitative models
- production rules
- reasoning mechanism
- incomplete knowledge
- default rules
- open systems
- multi agent systems
- decision making
- reasoning and decision making
- practical reasoning
- multiagent systems
- autonomous agents
- multiple agents
- multi context systems
- knowledge representation
- rule sets
- multi agent decision making
- mobile agents
- uncertain information
- classification rules
- case based reasoning
- agent architecture
- robotic systems
- forward chaining
- open environments
- rule based systems
- qualitative reasoning
- intelligent agents
- information gathering
- rule engine
- plan execution
- derivation rules
- qualitative and quantitative
- rational agents
- rule base