Last update: RNDr. Michal Kopecký, Ph.D. (17.04.2018)
Challenge-Response Framework (CRF) appears in different parts of mathematics and computer science as e.g. query-answer, client-server service request, requirements-solution, input-output,
observation-prediction, huge unstructured web information-computer understandable web information, human search-recommendation and complexity search problems etc.
We present an overview of both formal model of, and experimental experience with, CRF. This opens area for PhD and/or software projects.
Students will be guided through relevant literature, projects, benchmarks and experiments.
Literature
Last update: RNDr. Michal Kopecký, Ph.D. (17.04.2018)
Abiteboul S., Hull R., Vianu V.: Foundations of Databases, Addison-Wesley 1995
E. Ries. The Lean Startup: How Today's Entrepreneurs Use … Crown Business 2011
D. Harel, D. Kozen, J. Tiuryn. Dynamic Logic. The MIT Press 2000
C. Manning, P. Raghavan, etal. An Introduction to Information Retrieval. Cambridge UP 2009
R. Fagin, A. Lotem, M. Naor. Optimal aggregation algorithms for middleware, J. Computer and System Sciences 66 (2003) 614-656
P. Vojtas. Generalized Galois-Tukey connections between explicit relations on classical objects of real analysis, Israel Math. Conf. Proc. 6 (1993) 619-643
A. Blass, Combinatorial Cardinal Characteristics of the Continuum, In Handbook of Set Theory, M. Foreman and A. Kanamori eds. Springer Netherlands 2010, 395-489
T. Furche, G. Gottlob et al. DIADEM: Thousands of Websites to a Single Database, Proc. VLDB Endowment, Vol. 7, No. 14
PhD thesis of A. Eckhardt, L. Peska, J. Dedek and I. Lasek and several master theses.
J. B. Peterson. 12 Rules for Life: An Antidote to Chaos. Random House Canada 2018
J. B. Peterson. Maps of Meaning: The Architecture of Belief. Routledge 1999
Kahneman, D., Thinking, fast and slow Farrar, Straus and Giroux 2013,
Kahneman, D., Well-being : the foundations of hedonic psychology, Russell Sage Found. 2003
D. Kahneman, P. Slovic, A. Tversky Eds. Judgment Under Uncertainty: Heuristics and Biases, Cambridge University Press; 1982
IBM's Role in Creating the Workforce of the Future (T-shape skills) http://www-05.ibm.com/de/ibm/engagement/university_relations/pdf/Beyond_IT_report_IBM_Workforce_of_the_Future.pdf
Syllabus
Last update: RNDr. Michal Kopecký, Ph.D. (17.04.2018)
Motivations for Challenge Response Framework (CRF)
Lean startup software engineering (SE) methodology and CRF
Data with ordering, threshold algorithm, optimality with(out) random/sequential access
GAP, Preferential Datalog (PD), deductive and modeling aspects of logic
Monotone preference model, fixpoint, approximate completeness of Preferential Datalog
NLP models, query languages semantics of web information
OWL, UML, modeling languages
Dynamic model of web Semantization, decidability of Dynamic Logic,
Inductive aspects of logic, IGAP, IPD, acceptable response business relevant metrics
Learning preferences from human rating and behavior, benchmarks, competitions
Learning annotation of web resources in social context
User intuitive tableau query, complexity of containment, theoretical CRF model
