Logo des Repositoriums

Auflistung nach Schlagwort "Strong AI"

1 - 3 von 3
  • Konferenzbeitrag
    Automated Reasoning for Conflict Solving in Knowledge Graphs
    (INFORMATIK 2024, 2024) Fähndrich, Johannes; Wischow, Maik
    Forensic application of Methods of AI depends on the level of trust towards automated reasoning. Automated reasoning leads necessarily to conflicts, and with that to the need for adaptation. Knowledge Graphs are an existential part of formalization in complex systems, e.g. as representation of beliefs of an AI. Strong AI, and with that one of the two main research areas of the early 21st century in Computer Science, struggles with the representation of conflicting beliefs, as well as with strategies for their resolution. We present a template based approach with an implementation on detecting and resolving conflicts in belief systems leading to a deeper insight into AI and its ability of self reflection. Without the understanding of how beliefs are handled in strong AI systems, the application to forensics is hurdled.
  • Workshop
    Can HCI Lead the Way? Workshop on Exploring Conscious AI
    (Mensch und Computer 2024 - Workshopband, 2024) Moradi, Hamid; Flaucher, Madeleine; Ott, Tabea; Ringgold, Veronika; Eskofier, Björn; Leutheuser, Heike
    The discourse of consciousness in AI is as old as the field of artificial intelligence itself. With the substantial progress of AI in recent years and emerging models, the conversation about conscious AI is becoming even more crucial. Although theories try to define consciousness, there is no reliable common ground among scientists. In this workshop, we want to take a different approach by presenting the issue to the HCI community as the connecting point between human interaction and AI models. We want to collect information on how participants perceive a conscious AI, discuss methods to measure consciousness in these systems, and consider how to ethically interact with a conscious AI. We believe that this can be a starting point for opening up the discussion among people who are practically more involved with AI.
  • Zeitschriftenartikel
    Can Machine Intelligence be Measured in the Same Way as Human intelligence?
    (KI - Künstliche Intelligenz: Vol. 29, No. 3, 2015) Besold, Tarek; Hernández-Orallo, José; Schmid, Ute
    In recent years the number of research projects on computer programs solving human intelligence problems in artificial intelligence (AI), artificial general intelligence, as well as in Cognitive Modelling, has significantly grown. One reason could be the interest of such problems as benchmarks for AI algorithms. Another, more fundamental, motivation behind this area of research might be the (implicit) assumption that a computer program that successfully can solve human intelligence problems has human-level intelligence and vice versa. This paper analyses this assumption.