Formal Argumentation for Artificial Intelligence

TU Dresden | Wintersemester 2021 / 2022 Formal Argumentation for Artificial Intelligence

Important notice: Enrollment is now possible. Until 11 October, enrollment was not possible due to a technical problem. If you wish to participate in this course, please enroll here on OPAL.

Formal argumentation is a research area within Artificial Intelligence that studies argumentation using formal methods from logic and graph theory. It is an active field of research with close ties to non-monotonic logic, i.e. to the study of logical formalisms that can capture the feature of human reasoning that we sometimes retract a previously made conclusion when we receive new information. This is because a new piece of information can allow us to construct a counter-argument to a previously accepted argument. In formal argumentation one studies various formalisms that capture this feature of human reasoning and argumentation in a precise and computationally realizable way.

Formal argumentation consists of two main parts: In abstract argumentation one studies the acceptability of arguments by abstracting away from their internal structure to focus on the relation of attacks between them, i.e. on the relation between a counterargument and the argument that it counters. In structured argumentation one models also the internal structure of arguments through a formal language in which arguments and counterarguments can be constructed.

This course has a 2/2/0 structure, i.e. we will have a double period lecture and a double period exercise class each week.

The planned schedule is as follows:

  • Lecture: Wednesdays, 4th double period (13:00–14:30)
  • Exercise class: Fridays, 6th double period (16:40–18:10)

Due to a request from a student that is currently not able to enter Germany, the lectures and exercises will take place online at least until the end of November. I will send a link to a Zoom room to every student who enrolls to the course here on OPAL.

Zugang zum Kurs gesperrt. Bitte melden Sie sich an. Login
Informationen zum Zugang
Sie haben zu wenig Berechtigungen, um diesen Kurs zu starten.