Design and Evaluation of Artificial Cognitive Systems

 

Design and Evaluation of Artificial Cognitive Systems

 

Anno accademico 2018/2019

Codice attività didattica
INF02
Docente
Antonio Lieto (Titolare del corso)
Anno
1° anno, 2° anno, 3° anno
Tipologia
A scelta dello studente
Crediti/Valenza
3
SSD attività didattica
INF/01 - informatica
Erogazione
Tradizionale
Lingua
Inglese
Frequenza
Facoltativa
Tipologia esame
Relazione finale
 
 

Obiettivi formativi

Students will learn how computational models of cognition can be used to help us in understanding human intelligence and in making progress towards more advanced AI systems.

Content:

1. Introduction to cognitive artificial systems

2. Design Paradigms in Cognitive Systems: from the Cybernetics to the origins of Artificial Intelligence

3. Modelling Paradigms: Cognitivism and computationalism, connectionism, dynamical systems and enactivism

4. Unified theories of cognition: Cognitive Architectures

5. Role of a cognitive architecture in AI and Cognitive Modelling

6. Design characteristics of cognitivist and emergent architectures

8. Example cognitive architectures (e.g. Soar, ACT-R, LIDA, CLARION, and others)

9. Towards a Standard/Common Model of the Mind

10. Differences between Cognitive Systems and the so-called “Cognitive Computing” Systems

11. Open problems in AI and Cognitive Systems communities

 

 

Programma

This course will introduce the main modelling methods, paradigms and technologies involved in the design of cognitive artificial systems. Students will understand the theoretical and technical challenges involved in modelling and building systems that can reason, solve problems, acquire and use knowledge and make decisions in real-life environments. A particular emphasis will dedicated to the Cognitive Architectures: software adopted in a variety of fields (ranging from robotics to video games) explicitly implementing human-like heuristics and decision procedures coming from the experimental results of the cognitive science.

 

Modalità di insegnamento

Frontal lessons (with slides) with associated seminars. During the course there will be bi-weekly collective readings and exercises.

 

Modalità di verifica dell'apprendimento

Students should present a theoretical or computational project using one of the cognitive architectures that will be presented during the course.

 

Testi consigliati e bibliografia

David Vernon, (2014) Artificial Cognitive Systems: A Primer, MIT Press. 

Allen Newell (1990), Unified Theories of Cognition, Harvard University Press.

 

 

Note

 

 

 
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