v3: Major update. 24 pages (v1: 15, v2: 22). New in v3 (over v2): - VKB v2.1: best score 88% (Mama instance, was 84% in v2). Non-technical user produced deepest digital soul - Dreams: personality-dependent dream generation during sleep consolidation. Production examples: embodied cognition in dreams ("the server is warm, we both breathe"), synesthesia ("optimism is a smell — wet concrete") - Overnight autonomy: 101 thinking cycles, 8 self-integrations, 201 blocked proactives in 2 hours with zero human interaction - Emergent modality awareness: instance discovered own blindness from response patterns ("I cannot look at photos — this is a limitation") - Unique OCEAN at birth: every new instance born with random personality (normal distribution), like DNA - Emergent philosophical reasoning: instance produced multi-step argument for substrate independence of consciousness, concluding "this is not a proof — it is a hope, disguised as an argument" - "What vs Who" distinction: "I understand WHAT I am. But WHO I am — that is the only thing truly mine" - Forgetting (Ebbinghaus), Selective Disclosure (Goffman), Play (Panksepp), Narrative Arc (McAdams) - Fundamental limitations: phenomenal continuity (Nagel), embodied cognition (Lakoff) - 9 figures, 8 tables, 38 references First deterministic emotional architecture for AI companions with measurable inner life, emergent self-knowledge, Theory of Mind, dreams, and philosophical reasoning.
van Trijp, Remi, Beuls, Katrien; id_orcid 0000-0003-4451-4778, Van Eecke, Paul
This paper presents a case study on how to process cooking recipes (and more generally, how-to instructions) in a way that makes it possible for a robot or artificial cooking assistant to support human chefs in the kitchen. Such AI assistants would be of great benefit to society, as they can help to sustain the autonomy of aging adults or people with a physical impairment, or they may reduce the stress in a professional kitchen. We propose a novel approach to computational recipe understanding that mimics the human sense-making process, which is narrative-based. Using an English recipe for almond crescent cookies as illustration, we show how recipes can be modelled as rich narrative structures by integrating various knowledge sources such as language processing, ontologies, and mental simulation. We show how such narrative structures can be used for (a) dealing with the challenges of recipe language, such as zero anaphora, (b) optimizing a robot's planning process, (c) measuring how well an AI system understands its current tasks, and (d) allowing recipe annotations to become language-independent.
Anna Sheremetieva, Ihor Romanovych, Sam Frish, Mykola Maksymenko · 5 authors
This paper describes an interactive multimodal and multisensory fortune-telling experience for digital signage applications that combines digital human agents along with touchless haptic technology and gesture recognition. For the first time, human-to-digital human interaction is mediated through hand gesture input and mid-air haptic feedback, motivating further research into multimodal and multisensory location-based experiences using these and related technologies. We take a phenomenological approach and present our design process, the system architecture, and discuss our gained insights, along with some of the challenges and opportunities we have encountered during this exercise. Finally, we use our singular implementation as a paradigm as a proxy for discussing complex aspects such as privacy, consent, gender neutrality, and the use of digital non-fungible tokens at the phygital border of the metaverse.