Uncertainty Management Framework for Multi-Agent System
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Summary
An agent’s uncertainty management framework is proposed with respect to some decision support tools, this framework could ease the analysis of multiagent systems in a more formal way and help design efficient reasoning process for software agents.
- Type
- article
- Published
- 2003-01-01
- Cited by
- 11
- References
- 14
- OpenAlex
- https://openalex.org/W43676764
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18993237
Keywords
Intension, Computer science, Multi-agent system, Process (computing), Order (exchange)
References
- A Unified View of Heterogeneous Agents' Interaction
- Formalization of organizational intelligence for multiagent system design
- "Intelligent Agents in Distributed Systems"
- Game Theory and Decision Theory in Multi-Agent Systems
- A genetic algorithm tutorial
- On ordered weighted averaging aggregation operators in multicriteria decisionmaking
- BDI Agents: From Theory to Practice
- Learning Bayesian network structures by searching for the best ordering with genetic algorithms
- Reasoning under uncertainty
- On ordered weighted averaging aggregation operators in multicriteria decision-making
- Intelligent Agents
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- Development of an Intelligent Agent-Based GQM Software Measurement System
- Customer Orientation Based Multi-Agent Negotiation for B2C e-Commerce
- Multiagent Based Selection of Tutor-Subject-Student Paradigm in an Intelligent Tutoring System
- Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods
- Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce
- Agents in neural uncertainty
- Agent-based uncertainty logic network
- A five-step drone collaborative planning approach for the management of distributed spatial events and vehicle notification using multi-agent systems and firefly algorithms
- Cognitive Parameter Based Agent Selection and Negotiation Process for B2C E-Commerce
- Agent Uncertainty Model and Quantum Mechanics Representation: Non-locality Modeling
- Agents in Quantum and Neural Uncertainty
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