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2.1 |
5 |
//Agent-based Computing// addresses the challenges in managing distributed computing systems and networks through monitoring, communication, consensus-based decision-making and coordinated actuation. As a result, //intelligent agents// and //multi-agent systems// have demonstrated the capability to use intelligence, knowledge representation and reasoning, and other social metaphors like 'trust', 'game' and 'institution', not only to address real-world problems in a human-like way but also to transcend human performance. This has had a transformative impact in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief & disaster management, and data mining & analytics. As one of the largest and still growing research fields of Computer Science, agent-based computing today remains a unique enabler of inter-, multi- and trans-disciplinary research. |
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2.1 |
15 |
* //Foundations of Agents and Multi-Agent Systems// |
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16 |
** Logics of Agency |
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17 |
** Logics of Multi-Agent Systems |
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18 |
** Normative Systems |
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19 |
** Computational Game Theory |
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20 |
** Uncertainty in Agent Systems |
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21 |
** Agent and Multi-Agent Learning |
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22 |
* //Agent and Multi-Agent System Architectures// |
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23 |
** Agent Programming Languages and Platforms |
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24 |
** Multi-Agent System Languages and Platforms |
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25 |
** BDI Architectures and Extensions |
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26 |
** Normative Multi-Agent Systems |
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27 |
* //Agent-Oriented Software Engineering// |
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28 |
** AOSE Methodologies |
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29 |
** Tools for Agent and Multi-Agent System Development |
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30 |
** Formal Specification and Verification |
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31 |
** Testing, debugging and evolution |
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32 |
** Deployed System Case Studies |
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33 |
* //Agent-Based Modeling and Simulation// |
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34 |
** Simulation Languages and Platforms |
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35 |
** Artificial Societies |
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36 |
** Virtual Environments |
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37 |
** Workflow Simulation |
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38 |
** Emergent Behavior |
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39 |
** Modeling System Dynamics |
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40 |
** Application Case Studies |
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41 |
* //Cooperation/Collaboration, Coordination/Communication// |
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42 |
** Agent Communication Languages and Protocols |
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43 |
** Distributed Problem Solving |
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44 |
** Teamwork Models |
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45 |
** Coalition Formation |
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46 |
** Argumentation |
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47 |
** Negotiation |
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48 |
** Bargaining |
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49 |
** Auctions and Mechanism Design |
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50 |
** Trust and Reputation |
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51 |
** Computational Voting Theory |
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52 |
* //Hybrid Technologies for Multi-Agent Systems// |
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53 |
** Agents in Planning |
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54 |
** Agent-Based Scheduling and Optimization |
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55 |
** Distributed Constraint Satisfaction |
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56 |
** Agents and Data Mining |
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57 |
** Semantic Web Agents |
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58 |
** Agents and Grid Computing |
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59 |
** Agents and Service Oriented Computing |
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60 |
** Agents and Pervasive Computing |
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61 |
** Robotics and Multi-Robot Systems |
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62 |
** Ubiquitous computing and ambient intelligence |
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63 |
* //Application Domains for Multi-Agent Systems// |
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64 |
** Healthcare |
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65 |
** Transport/Logistics |
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66 |
** Emergency/Disaster Management |
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67 |
** Energy/Utility Management |
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68 |
** Sustainability/Resource Management |
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69 |
** Games/Entertainment |
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70 |
** e-Business/e-Commerce/e-Government |
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71 |
** e-Research/e-Learning |
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72 |
** Security/Surveillance |
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73 |
** Smart Cities |
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74 |
** Financial markets |
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75 |
** Legal applications |
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76 |
* //Applications of Agents and Multi-Agent Systems// |
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77 |
** Adaptive Personal Assistants |
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78 |
** Embodied Conversational Agents |
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79 |
** Virtual Characters |
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80 |
** Multi-Modal User Interfaces |
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81 |
** Autonomous Systems |
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82 |
** Mobile Agents |
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83 |
** Human-Robot Interaction |
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84 |
** Social Recommender Systems |