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Transcript
Here is a list of topics from AAMAS, a top agent conference. It is not inclusive. Be sure that
your topic (1) involves multiple agents (2) is not just a parallel solution (without agency). You
are welcome to blend this assignment with other work you have to do, as long as it fits within the
requirements for this class.
Agent Communication:
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Agent commitments
Communication languages
Communication protocols
Speech act theory
Agent Cooperation:
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Biologically-inspired approaches and methods
Collective intelligence
Distributed problem solving
Human-robot/agent interaction
Multi-user/multi-virtual-agent interaction
Teamwork, coalition formation, coordination
Incentives for Cooperation
Implicit Cooperation
Agent Reasoning:
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Planning (multiagent)
Reasoning (multiagent)
Cognitive models
Knowledge representation
Agent Societies and Societal issues:
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Artificial social systems
Environments, organizations and institutions
Ethical and legal issues
Peer to peer coordination
Privacy, safety and security
Social and organizational structure
Trust, reliability and reputation
Agent Theories, Models and Architectures:
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BDI
Belief revision
Bounded rationality
Formal models of agency
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Logic-based approaches and methods
Mobile agents
Modeling other agents and self
Modeling the dynamics of MAS
Reactive vs. deliberative approaches
Service oriented architectures
Verification of MAS
Agent-based simulation:
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Artificial societies
Emergent behavior
Simulation techniques, tools and environments
Social simulation
Agent-based system development:
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Agent specification or validation languages
Design languages for agent systems
Development environments
P2P, web services, grid computing
Software engineering (agent- or multi agent-oriented)
Agreement Technologies:
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Argumentation
Collective decision making
Judgment aggregation and belief merging
Negotiation
Norms
Economic paradigms:
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Electronic markets
Economically-motivated agents
Game Theory (cooperative and non-cooperative)
Social choice theory
Voting protocols
Artificial economies/markets
Auction and mechanism design
Bargaining and negotiation
Learning and Adaptation:
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Computational architectures for learning
Reward structures for learning
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Evolution, adaptation
Co-evolution
Multiagent Learning
Systems and Organization:
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Autonomic computing
Complex systems
Self-organization