UINK109 Artificial Intelligence

Faculty of Philosophy and Science in Opava
Summer 2011
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Michaela Ačová (lecturer)
Guaranteed by
Mgr. Michaela Ačová
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Introduction to the topic, history of AI. The Turing Test. Reactivity versus memory, definition of the reactive agents, case study of their architecture. Decentralisation and communication of agents, the subsumption architecture of agents, artificial neural networks, learning and adaptation. From reactivity to knowledge representation (on the example of the robotic systems Toto nad MetaToto). The notion of knowledge in AI, atributes of knowledge. Deklarative representation scheme, production systems, formal logic, knowledge representation in STRIPS and the deliberative robotics. State space and search, blind search and heuristic search, qualitative and quantitative heuristics, evaluation functions, the General Problem Solver (GPS) system. Associative representation scheme and the computational natural language processing and understandiing, Procedural representation scheme, calling procedures by goals, logic programming. Frame representation scheme, default information and its processing, nonmonotonic inference and nonmonoton logics, Learnoing systems. Recapitulation of the topic.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 2010, Summer 2012, Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2020, Summer 2021, Summer 2022, Summer 2023.
  • Enrolment Statistics (Summer 2011, recent)
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