Knowledge Representation and Reasoning (course homepage)
- Lectures: Martin Baláž, Martin Homola
- Labs: Jozef Frtús
- Labs info: https://www.dai.fmph.uniba.sk/~frtus/kri/
- Evaluation: Google Doc
Literature
Evaluation
Evaluation points:
- Midterm: 15
- Exam: 40
- Project: 30
- Labs: 10
- TOTAL: 95
- BONUS: 10
Evaluation scale:
- 84 and more: A
- 75 and more: B
- 66 and more: C
- 57 and more: D
- 48 and more: E
Project
The task of the project is to propose and describe a scenario for an application of ambient intelligence based on knowledge representation formalisms and reasoning. Project will be submitted in three phases, each has separate deadline:
- Phase 1 - scenario description: 23 March
- Phase 2 - initial formalization: 27 April
- Phase 3 - final formalization:
25 May25 June
Please upload your outputs for each phase here: http://wiki.matfyz.sk/KRR2012_Projekty
IMPORTANT: Basic information about Ambient Intelligence and three demo scenarios are described in: [Distributed Defeasible Reasoning in Ambient Intelligence] by Bikakis et al.
An example of a successful project by Michal Antonič: http://ii.fmph.uniba.sk/~sefranek/kri/antonic_rzai_projekt.pdf
Project Evaluation
Phase 1 Scenario:
- description of an intelligent application/device together with the situation (background) in which it will be used
- purpose of the application device: what problem it will solve, or what task it will fulfill
- informal example of how the problem/task will be solved, showing how reasoning will be used
Phases 2 and 3:
- specification of the formalism that will be used
- list of symbols with intuitive description of their meanings (i.e., what values they represent in the scenario)
- formalization of the knowledge base: facts, rules, logic programs, etc. that will be needed to solve the problem, achieve the intelligent behavior described in the scenario
- problem solution: formal solution of the problem using reasoning with your knowledge base in the selected formalism
Hints:
- link the described formal knowledge base and solution with the respective part of the scenario in where this is informally described
- the formalization can address a suitable part of the informal scenario only, and the informal scenario can be modified if needed, but this must be explained in your document
- for Phase 2 the main part of the score is for formalization of the knowledge base, while in Phase 3 it is for the formal solution of the problem