Seminár z kognitívnej vedy a umelej inteligencie je (od zimného semestra 2015-2016) pokračovaním spoločného seminára z umelej inteligencie, ktorý organizovali Ústav aplikovanej informatiky FIIT STU (prof. Kvasnička) a Katedra aplikovanej informatiky FMFI UK (prof. Farkaš, a pred ním doc. Šefránek). V zimnom semestri je seminár určený hlavne pre študentov kognitívnej vedy, aby mali možnosť zorientovať sa v existujúcom výskume v našom okolí, v letnom semestri má rozšírený záber aj na umelú inteligenciu. Po celý rok sú však vítaní všetci záujemcovia, ktorí sú chcú vypočuť ponúkané prednášky.
Organizátorom seminára je prof. Igor Farkaš.
Čas a miesto konania seminára: utorok 16:30-17:45 v miestnosti I-9 (pavilón informatiky) na FMFI UK.
Cognitive robotics aims at explaining human cognition by constructing artificial agents (physical or simulated) and equipping them with learning mechanisms to model cognition. I will introduce the paradigms of supervised, unsupervised and reinforcement learning in the context of artificial neural networks. We will illustrate their use in several examples in cognitive robotics. The ideas will be presented via selected tasks of motor learning, learning body schema and spatial cognition in a simulated humanoid robot. These examples will serve as motivation for potential research projects.
When speaking, meaning we want to convey is (somehow) rooted in our experience and (somehow) represented in brain. In this talk I will present several computational models of various aspects of memory, language and autonomous meaning construction.
The aim of the talk is to introduce selected problems within recent discussions on the nature of the Self. I intend to highlight inconsistencies on the concept or concepts of "self" ("I") as well as complexity of the phenomenon itself. I argue that recent findings from neurocognitive and clinical research support the idea of a physical nature of feeling the existence of the Self. I also aim to outline implications from research in cognitive linguistics on the nature of the concept of "self" and the way we conceptualise inner states of our experience.
o improve upper-limb neuro-rehabilitation in chronic stroke patients we apply new methods and tools of clinical training and machine learning for the design and development of an intelligent system allowing the users to go through the process of self-controlled training of impaired motor pathways. We combine the brain–computer interface (BCI) technology with a robotic arm system into a compact system that can be used as a robot-assisted neuro-rehabilitation tool: (1) We use mirror therapy not only to improve motor functions but also to identify subject’s “atoms”, i.e. specific EEG patterns associated with imagined or real-hand movements, using a parallel factor analysis. (2) We designed a BCI-based robotic system using motor imagery in a patient with an impaired right upper limb. The novelty of this approach lies in the control protocol which uses spatial and frequency weights of the estimated sensorimotor atoms during the MT sessions.
Accurate understanding of probability and risk is crucial for informed choices. However, decades of research on human decision making have provided evidence that people are prone to numerous biases in probabilistic reasoning. Large part of these deviations is related to external representation of data. For instance, people are sensitive to statistical format of numerical information and to verbal probability framing. The lecture will cover three main themes: i) a short review of experimental evidence on how simple changes in information wording affect processing of risks and probabilities, ii) practical applications in medical, environmental and financial domain, and iii) suggestions and challenges for further research.
The talk will outline the processes of neural development of human central nervous system and its functional units during prenatal and postnatal life. The hierarchy of central regulatory systems and processing in relation to emotions and social cognition will be introduced. I will deal with the hormonal influence, particularly testosterone, on particular anatomical structures involved in cognition and its consequences on brain development and nervous functions resulting in communication deficits and disturbances in social behaviour. The results of our own research in healthy human individuals and in patients with autism will be discussed.