Lectures:
1. Introduction to multiagent systems, agents' architecture, no central dispatcher
2. Behaviour vs. planning.
3. Reactive agents; Agents' learning and reasoning.
4. Deliberation, theory of BDI, IRMA (intelligent resource-bounded machine architecture), PRS (procedural reasoning system).
5. Agents' interactions, distributed artificial intelligence
6. Experiments: emergent behaviour of agents
7. Reactive communication with environment, standards of agents’ behavior.
8. Agents' cooperation, table method, negotiation, messaging.
9. Decentralized problem solving
10. Agents' Ontologies and knowledge bases
11. Communication in MAS, communication languages.
12. Indirect communication.
Exercisez:
1. Introduction to multiagent systems, agents' architecture, no central dispatcher
2. Behaviour vs. planning.
3. Reactive agents; Agents' learning and reasoning.
4. Deliberation, theory of BDI, IRMA (intelligent resource-bounded machine architecture), PRS (procedural reasoning system).
5. Agents' interactions, distributed artificial intelligence
6. Experiments: emergent behaviour of agents
7. Reactive communication with environment, standards of agents’ behavior.
8. Agents' cooperation, table method, negotiation, messaging.
9. Decentralized problem solving.
10. Ontologies and knowledge bases.
11. Indirect communication.
12. Languages for communication in multiagent systems.
1. Introduction to multiagent systems, agents' architecture, no central dispatcher
2. Behaviour vs. planning.
3. Reactive agents; Agents' learning and reasoning.
4. Deliberation, theory of BDI, IRMA (intelligent resource-bounded machine architecture), PRS (procedural reasoning system).
5. Agents' interactions, distributed artificial intelligence
6. Experiments: emergent behaviour of agents
7. Reactive communication with environment, standards of agents’ behavior.
8. Agents' cooperation, table method, negotiation, messaging.
9. Decentralized problem solving
10. Agents' Ontologies and knowledge bases
11. Communication in MAS, communication languages.
12. Indirect communication.
Exercisez:
1. Introduction to multiagent systems, agents' architecture, no central dispatcher
2. Behaviour vs. planning.
3. Reactive agents; Agents' learning and reasoning.
4. Deliberation, theory of BDI, IRMA (intelligent resource-bounded machine architecture), PRS (procedural reasoning system).
5. Agents' interactions, distributed artificial intelligence
6. Experiments: emergent behaviour of agents
7. Reactive communication with environment, standards of agents’ behavior.
8. Agents' cooperation, table method, negotiation, messaging.
9. Decentralized problem solving.
10. Ontologies and knowledge bases.
11. Indirect communication.
12. Languages for communication in multiagent systems.