Symbolic n-plithogenic sets are considered to be modern concepts that carry within their framework both an algebraic and logical structure. The concept of symbolic rings is a novel generalization classical with many symmetric properties. These structures can written as linear combinations elements taken from other structures, where the square k-plithogenic real matrices entries. In this researc...

The dominating models of information processes have been based on symbolic representations of information and knowledge. During the last decades, a variety of non-symbolic models have been proposed as superior. The prime examples of models within the non-symbolic approach are neural networks. However, to a large extent they lack a higher-level theory of representation. In this paper, conceptual...

Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making. A number of sub-symbolic approaches have been developed provide insights into the GNN decision making process. These are first important steps on way explainability, but generated explanations often hard understand for users that not AI experts. To overcome this problem, we introduc...

A hybrid (symbolic/connectionist) cognitive architecture, DUAL, is proposed. It is a multi-agent system which consist of a large number of non-cognitive, relatively simple agents, and which behaviour emerges from the behaviour of these simple agents and the interactions between them. The agents within this architecture have no internal knowledge base and goals. They are both computational devic...

This paper deals with sensors which compute and report linguistic assessments of numerical acquired values. Such sensors, called symbolic sensors, are particularly adapted when working with control systems which use artificial intelligence techniques. After having reconsidered some elements of the measurement theory, this paper sets the foundations of the symbolic sensors by introducing the mea...

Successful human-robot cooperation hinges on each agent’s ability to process and exchange information about the shared environment and the task at hand. Human communication is primarily based on symbolic abstractions of object properties, rather than precise quantitative measures. A comprehensive robotic framework thus requires an integrated communication module which is able to establish a lin...

Abstract The aim of intercultural translation is to communicate. Communication is acted via verbal as well as visual means. The interaction of verbal and visual means of communication makes a set of complex situations which demand special attention in translation. One context in which the interaction of visual and verbal elements gets vital importance is children’s picture books. Color is an in...