Paper Info
Title
Foundations of the Socio-Physical Model of Activities (SOMA) for Autonomous Robotic Agents.
Abstract
In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such tasks seem to be trivial for humans, however, they pose severe problems for artificial agents. For starters, a natural language command requesting something will leave many pieces of information necessary for performing the task unspecified. Humans can solve such problems fast as we reduce the search space by recourse to prior knowledge such as a connected collection of plans that describe how certain goals can be achieved at various levels of abstraction. Rather than enumerating fine-grained physical contexts SOMA sets out to include socially constructed knowledge about the functions of actions to achieve a variety of goals or the roles objects can play in a given situation. As the human cognition system is capable of generalizing experiences into abstract knowledge pieces applicable to novel situations, we argue that both physical and social context need be modeled to tackle these challenges in a general manner. This is represented by the link between the physical and social context in SOMA where relationships are established between occurrences and generalizations of them, which has been demonstrated in several use cases that validate SOMA.
Year
DOI
Venue
2021
10.3233/FAIA210379
FOIS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Daniel Beßler101.69
Robert Porzel210014.08
Mihai Pomarlan3206.37
Abhijit Vyas400.68
Sebastian Höffner551.46
Michael Beetz63784284.03
Rainer Malaka749392.68
John A. Bateman848880.06