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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: Agent commitments Communication languages Communication protocols Speech act theory Agent Cooperation: 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: Planning (multiagent) Reasoning (multiagent) Cognitive models Knowledge representation Agent Societies and Societal issues: 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: BDI Belief revision Bounded rationality Formal models of agency 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: Artificial societies Emergent behavior Simulation techniques, tools and environments Social simulation Agent-based system development: 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: Argumentation Collective decision making Judgment aggregation and belief merging Negotiation Norms Economic paradigms: 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: Computational architectures for learning Reward structures for learning Evolution, adaptation Co-evolution Multiagent Learning Systems and Organization: Autonomic computing Complex systems Self-organization