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Computational argumentation

Course code:INFOMCARG
Credits:7.5 ECTS
History:This course was formerly known as Commonsense reasoning and argumentation (INFOCR). You can only do one of these courses.
Period:period 3 (week 6 through 15, i.e., 3-2-2020 through 9-4-2020; retake week 27)
Timeslot:D
Participants:up till now 24 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lecture          Henry Prakken
Contents:

This course gives an introduction to the computational study of argumentation in AI, a currently popular subfield of symbolic AI. The course especially focuses on formal models of argumentation and their application in areas like commonsense reasoning, legal reasoning and multi-agent interaction.

The computational study of argumentation concerns two aspects: reasoning and dialogue. Argumentation as a form of reasoning makes explicit the reasons for the conclusions that are drawn and how conflicts between reasons are resolved. Systems for argumentation-based inference were orginally developed in the field of nonmonotonic logic, which formalises qualitative reasoning with incomplete, uncertain or inconsistent information. Argument-based systems have been very successful as nonmonotonic logics, since they are based on very natural concepts, such as argument, counterargument, rebuttal and defeat. In this course the following formalism will be discussed:

  • Default logic (a still influential early nonmonotonic logic)
  • The theory of abstract argumentation frameworks (the generally accepted formal foundation of the field)
  • The theory of structured argumentation frameworks, with a special focus on the ASPIC+ approach.
  • Formal accounts of change operations on argumentation frameworks
  • Formal models of legal case-based reasoning

Argumentation as a form of dialogue concerns the rational resolution of conflicts of opinion by verbal means. Intelligent agents may disagree, for instance, about the pros and cons of alternative proposals, or about the factual basis of such proposals. Dialogue systems for argumentation formally define protocols for argumentation dialogues and thus enable a formal study of the dynamics of argumentative agent interaction, including issues of strategic choice. In this course two examples of such dialogeus systems will be discussed.

Upon successful completion of this course, the student:

  1. knows the essence of formal models for argumentation as reasoning and as dialogue;
  2. is able to apply these formalisms to formal examples;
  3. has insight into the metatheoretic properties of the studied formalisms and can verify simple metatheoretic properties;
  4. is aware of the main formal relations between different models of argumentation, and can formally verify simple relations;
  5. is able to evaluate the suitability of the studied formalisms for modeling realistic forms of argumentation;
  6. is able to model realistic reasoning problems in an implemented argumentation reasoner.

Literature:Online reader, online articles and educational software tools
Course form:Interactive lectures (14x2 hours) plus self-study with exercises.
Exam form:Written exam (2/3) and three mandatory intermediate exercises (1/3).
Minimum effort to qualify for 2nd chance exam:To qualify for the second-chance exam:
  • the final result after the first-chance exam must be at least a 4; and
  • the student must have taken part in at least one of the first two mandatory exercises (NB: a missed mandatory exercise is graded with 1.0); and
  • the student must have handed in a version of the homework exercise that at least satisfies the minimum requirements for this exercise.
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