COGNITIVE SCIENCE I: MINDS AND MACHINES

Course Information
TitleΓΝΩΣΙΟΕΠΙΣΤΗΜΗ Ι : ΝΟΥΣ ΚΑΙ ΜΗΧΑΝΗ / COGNITIVE SCIENCE I: MINDS AND MACHINES
CodeΨΥ-721
FacultyPhilosophy
SchoolPsychology
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600013542

Programme of Study: PPS Tmīmatos PSychologías (2017-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses745
Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600070229
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
It is recommended that students have attended the courses: Introduction to Psychology Experimental Psychology II Cognitive Psychology Symbolic Logic and Inductive Thinking
Learning Outcomes
The first objective is to guide the students into a new area in which psychology is one of the contributing sciences. Learning interdisciplinary skills. Analysis of Cognitive functions into components. Understanding the powers and limitations of computationalism, connectionism and embodied intelligence. Philosophical engagement with the problem of the analysis of mind.
General Competences
  • Apply knowledge in practice
  • Adapt to new situations
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The main aim of the course is to examine in detail the mechanistic hypothesis, namely the idea that mentality and intelligence can be explained as the workings of a mechanistic system like that of a computer. The second aim is to function as an introduction to cognitive science, which is the interdisciplinary attempt to explain mentality as a system of processing of natural symbolic representations. The approach followed is philosophical and historical. The difficulties of defining intelligence is discussed and then the theoretical problematique that led Alan Turing to invent the computing machine. The introduction of the first Ai programs in the 50s. The cognitive revolution, first in linguistics and the in psychology in the 60s, the classical computational approach of the 70s, the criticism of computationalism, the connectionism program of the 80s and 90s, embodied intelligence and cognitive neuroscience of the last decade.
Keywords
mechanistic hypothesis, mechanistic systems, Cognitive Science, intelligence, symbolic represetnations
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Description
Powerpoint presentations are available from the start of the course so that students can come prepared to present any relevant question or difficulty thy are facing.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1174.5
Reading Assigment110.4
Exams20.1
Total1305
Student Assessment
Description
Written final examination
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
Bibliography
Course Bibliography (Eudoxus)
Stillings et al Εισαγωγή στην Γνωσιοεπιστήμη Thaggard Νους Βοσνιάδου Εισαγωγή στην Επιστήμη της Νόησης
Additional bibliography for study
Minsky Η Κοιινωνία της Νόησης Paul Churchland Η Μηχανή της Λογικής η Θέση της Ψυχής H. Dreyfuss Τί δεν μπορούν να κάνουν οι υπολογιστές J. Searle Νους, Εγκέφαλος, Μηχανή
Last Update
05-11-2017