Congress Keynote Speakers

A Type-2 Approach to Knowledge Acquisition from Linguistic Sources
Junzo Watada IPS Graduate School; Waseda University;Kitakushu, Japan
Email: [email protected]
ABSTRACT:
In the intricate tapestry of real-world scenarios, the semantic boundaries of natural language lexemes often oscillate within the realm of vagueness. In response to this pervasive ambiguity, we elucidate a Knowledge Acquisition paradigm, anchored in the profound edifice of a type-2 fuzzy set framework, meticulously designed to navigate the intricate seas of hybrid uncertainty. This exposition finds its empirical footing in a retrospective analysis of earthquake-induced architectural damage in the city of San Francisco during the 1980s, employing our Knowledge Acquisition model as a beacon of clarity. Within this scholarly discourse, we conceive a type-2 fuzzy stochastic regression construct, with the bedrock of its structure resting upon a credibility metric. To adroitly encapsulate the nebulous contours of information, we artfully render the fuzzy input and output datasets as perspicacious confidence intervals. This proposed regression framework is artfully cast as a non-linear programming conundrum, thereby ensuring the artisanal crafting of a well-honed model. Our innovative method demonstrates compelling potential in expediting the discernment of natural language semantics. Furthermore, we furnish a numerical exemplar, elegantly illustrating the pragmatic utility of our model. The resultant findings effusively attest to the model’s versatility, particularly in the treatment of non-meta linguistic data. This approach empowers decision-makers to make judicious selections, optimizing temporal resources by judiciously considering multifarious evaluations.
Keywords: Knowledge Acquisition, Linguistic Sources, Type-2 Fuzzy Set, Fuzzy Random Variable, Stochastic Regression Model, Credibility Assessment, Confidence Interval Estimation.”

The New Internet based on IPv6, Empowering Enhanced P2P IoT, 5G/6G, Web3, AI and Blockchain
Prof. Latif Ladid.
University of Luxembourg/SnT, Luxembourg
ABSTRACT:
The IPv6 Deployment worldwide is becoming a reality now with some countries achieving more than 60% user penetration with France (75%), Belgium (65%), USA (50%) and India (68%) at the top ranking (http://6lab.cisco.com/stats/) and reaching double digits v6 coverage on Google IPv6 stats. May Autonomous Networks (ASN) reach more than 90% with v6 preferred or v6 capable: (http://labs.apnic.net/ipv6-measurement/Economies/US/). Over 2.5 Billion users are accessing Internet over IPv6 and probably not even knowing it. If this trend continues, we should achieve 90% by 2025 which would be the inflection point when the full roll-out of IPv6 becomes a strategic plumbing decision of the networks to move to IPv6-Only and start sunsetting IPv4 from the Internet. The US Government has already set some dates to move to IPv6-Only by 2025.

Towards The Autonomy Of Artificial Systems: Blockchain-Based Emotional Memory To Increase Degrees Of Freedom
Eva R. Porras, PhD
Smart Ledger Blockchain Solutions and Department of Fundamentals of Economic Analysis
Universidad Rey Juan Carlos. Madrid, Spain
Email: [email protected]
ABSTRACT:
The concept of autonomy refers to the ability of an agent or entity to act independently, without control or influence from external factors. This notion raises a wide range of questions and problems that still have no answer. Among them, the idea that complete autonomy would induce the conception of freewill, a type of freedom of action and choice devoid from external influence in relation to self-control. Within the field of engineering, emotion can be conceived as an engine that generates directives towards adaptability. In the context of robotics, the degrees of freedom are defined as the independent variables necessary to completely describe the configuration and position of the robot in the three-dimensional space. Our proposal is to stablish a parallelism, assuming that emotions could constitute a basis to increase the number of independent variables in the cognitive space, thus resulting in the freewill of the artificial agent. In the design of the system, emotion and memory are linked. The work analyzes computational structures of the blockchain-type as the basis for the implementation of a memory linked to an intelligent system with artificial emotion.