Modeling artificial agents’ actions in context – a deontic cognitive event ontology

Abstract

Although there have been efforts to integrate Semantic Web technologies and artificial agents related AI research approaches, they remain relatively isolated from each other. Herein, we introduce a new ontology framework designed to support the knowledge representation of artificial agents’ actions within the context of the actions of other autonomous agents and inspired by standard cognitive architectures. The framework consists of four parts: 1) an event ontology for information pertaining to actions and events; 2) an epistemic ontology containing facts about knowledge, beliefs, perceptions and communication; 3) an ontology concerning future intentions, desires, and aversions; and, finally, 4) a deontic ontology for modeling obligations and prohibitions which limit agents’ actions. The architecture of the ontology framework is inspired by deontic cognitive event calculus as well as epistemic and deontic logic. We also describe a case study in which the proposed DCEO ontology supports autonomous vehicle navigation.

Towards an Ontology for Robot Introspection and Metacognition

“…The AWARE ontology [37] describes observations and decisions of a mobile robot, but as well fails to explain how they relate. The Deontic Cognitive Event Ontology (DCEO) models the mental states of agents for interaction, e.g., perception, beliefs, desires and intentions [38]. DCEO does not support our use case, however, as it associates those mental states with the owner in a highly abstract way, neglecting all internal control systems, which makes it impossible to trace the information flow.…”

A Novel Method for Constructing Spatiotemporal Knowledge Graph for Maritime Ship Activities

“…Ship activity events can modeled using general event models. In current academic research, concept-based event models [24][25][26][27], logic-based hierarchical event models [28][29][30][31], and sextuplet-based event models [32][33][34][35] are used. The modeling of ship activities in this study belongs to the category of domainspecific ontology modeling, where concept-based event models such as ABC ontology [24] model, SEM [25], EO [26] model, and CIDOC-CRM [27] model are primarily used.…”

Foundations for an Ontology of Belief, Desire and Intention

“…Nonetheless, the BDI entities (inter alia desire and intention) would tend to be loosely characterized, especially so that their parent types are identified, but sometimes with no further detailed examination. Examples include belief as a "mental disposition" in the MF, the BDI entities as "mental moments" in UFO-C [9] (which is a module for social and intentional entities in the upper ontology the Unified Foundational Ontology), and the BDI entities as "mental states" in a Deontic Cognitive Event Ontology [10] (which provides an OWL support of representation and reasoning on complex cognitive information).…”