30/35/108 - PHILOSOPHY OF MIND AND ARTIFICIAL INTELLIGENCE
Academic Year 2020/2021
Free text for the University
MARCO GIUNTI (Tit.)
Ciclo Annuale Unico
- Teaching style
Prevalentemente a distanza
- Lingua Insegnamento
|[30/35] COMMUNICATION SCIENCE||[35/00 - Ord. 2014] PERCORSO COMUNE||12||60|
KNOWLEDGE AND UNDERSTANDING: The expected result is developing the ability to synthetically represent broad areas of human activity and their mutual relationships, by individuating and analyzing their constitutive or basic elements.
APPLYING KNOWLEDGE AND UNDERSTANDING: In addition, the course aims at promoting the following abilities.
Ability to individuate the fundamental characters of a philosophical debate, by reconstructing its basic problems, the different positions involved and the arguments for or against each position.
Ability to individuate the fundamental characters of a scientific research program and its ontological, epistemological and methodological implications.
Analytic reading and comprehension of a text. Ability to identify and reconstruct the argumentative structure of a text.
This course is an introduction to contemporary philosophy of mind and its relations to Artificial Intelligence, Cognitive Science and Consciousness Studies. The course consists of seven modules.
Module 1. Philosophy of Mind, Artifical Intelligence, Cognitive Mimd
Module 2. Introduction to the Philosophy of Mind
Module 3. Alan Turing: from the computing human being to the thinking computer
Module 4. Classic Artificial Intelligence: symbols and simulations
Module 5. Criticisms to the Turing test and the computational thesis of mind
Module 6. Connectionism and other approaches to cognition
Module 7. Consciousness and the explanatory gap: the hard problem of cognitive science
Delivery mode: The course follows the e-learning methods and is divided in two parts. The first one is composed of 20 hours of lectures in the classroom, which are video recorded and made available to students within 5 working days. The second one, consists in the proposition of tasks/projects/discussions in the forum, which can be carried on by students on the learning platform, with the assistance and guidance of the tutors.
Being an e-learning course, attendance cannot be identified with students’ physical presence in the classroom. It rather consists in students’ participation. Students’ attendance thus depends on their participation in the proposed activities and discussions and on their interactions with instructor and tutors.
On students’ request, laboratories, workshops and meetings with tutors can be organized, either in classroom or by web conference.
Verification of learning
Midterm written exam on modules 1-4 and final written exam on modules 5-7. Alternatively, students may choose to take a final oral exam on the whole content of the course (modules 1-7).
- Criteria for the attribution of the marks in the final exam: average of the grades earned in the two written exams;
• descriptive and argumentative abilities;
• syntactically correct writing and appropriate terminology;
• structuring of the written text;
• knowledge of the concepts covered and ability to critically elaborate on them.
ability to focus on the subject,
knowledge of the concepts covered and ability to critically elaborate on them,
The textbooks for the course are:
Salucci, Marco (2018). Il problema mente-corpo: da Platone all'Intelligenza Artificiale. Reggio Emilia: thedotcompany s.r.l.
Nannini, Sandro (2010).
Giolito, Barbara (2007). L'Intelligenza artificiale. Una guida filosofica. Roma: Carocci.
Study materials include lecture notes, exercises, selected papers and videos, etc. These materials can be found in the course section of the MOODLE elearning website of the Communication Science Program.