FenixEdu™

T1 Introduction

Aula 1

Course organization
An introduction to autonomous agents
Autonomous agents and artificial intelligence

T2 Agent systems

Aula 2

Agent and environment properties
Abstract agent architectures
Agent-oriented programming
Real-world applications

T3 Deductive agents

Aula 3

Introduction to decision theory
Deductive and practical reasoning agents

T4 Reactive agents

Aula 4

Reactive agent properties and applications
Brooks' subsumption architecture

T5 Proactive agents

Aula 5

The intentional stance
The BDI model
Practical and procedural reasoning agent architectures

T6 Emotional agents

Aula 6

Appraisal theories
The concept and role of emotion
Agents with emotions: perception, decision, expression
Impact on affective agent architectures

T7 Adaptive agents (RL)

Aula 7

Fundamentals of reinforcement learning (RL)

Autonomous agents with RL

T8 Adaptive agents (IDM)

Aula 8

Fundamentals of incremental data mining (IDM)
Adaptive agens with IDM

T9 Hybrid agents

Aula 9

Horizontal and vertical hybrid architectures

Touring machines and InteRRaP

T10 Social agents

Aula 10

Societies of agents
Stigmergy, self-organization and emergence
Multi-agent applications
Coordination

T11 Game theory

Aula 11

Introduction to game theory (fundamentals and properties)
Prisoner's dilemma
Nash equilibrium and optimal pareto
Repeated games

T12 Negotiating agents

Aula 12

Task and result sharing
Bargaining in task-oriented domains
Monotonic concession protocol and Zeuthen strategy

T13 Auction-based agents

Aula 13

Social welfare and voting procedures
Strategic manipulation
Allocating scarce resources (auctions)

T14 Arguing agents

Aula 14

Forming coalitions
Coalitional games with goals
Deductive argumentation systems

T15 Adaptive multi-agents

Aula 15

Reinforcement learning in multi-agent settings

Data science in multi-agent settings

The problem of coordination

T16 Freely interacting agents

Aula 16

Ontology fundamentals
Speech acts
Agent communication languages
Semantics: KQML, KIF, FIPA

T17 Human-interactive agents

Aula 17

Fundamentals of human-agent interaction
Fundamentals of affective computing

Past and ongoing projects at GAIPS

T18 Agent systems to understand real life

Aula 18

Evolution and emerging norms in agent societies
Modeling collective dynamics in social and life sciences

T19 Advanced aspects

Aula 19

Myths and pitfalls of agent systems

Agent-oriented programming

Societal impact of agent systems

Ethical concerns

T20 Concluding remarks

Aula 20

Essay and project feedback

Content recapitulation

Test preparation

Course wrap-up

L1: Designing agents

Aula 1

Agent and environment properties
Fundamentals of agent-based programming
NetLogo and object-oriented languages

L2: Reactive agents

Aula 2

Implementing reactive agents
Exercise on decision theory

L3: Proactive agents

Aula 3

Implementing deliberative and practical reasoning agents
Implementing simple mechanisms of coordination

L4: Adaptive agents