scholarly journals Towards autonomous artificial agents with an active self: Modeling sense of control in situated action

2021 ◽  
Author(s):  
Sebastian Kahl ◽  
Sebastian Wiese ◽  
Nele Russwinkel ◽  
Stefan Kopp
Keyword(s):  
Artificial Agents ◽  
Sense Of Control ◽  
Situated Action

Training Methods With Clinicians and Students—A Personal Story and Change: Narrative Therapy for Stuttering

2008 ◽  
Vol 18 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Margaret Leahy
Keyword(s):  
Narrative Therapy ◽  
Evidence Based Practice ◽  
Theoretical Background ◽  
Evidence Based ◽  
Training Methods ◽  
Sense Of Control ◽  
Case Description ◽  
General Outline ◽  
Personal Story ◽  
Fluency Disorders

Abstract Educating students and informing clinicians regarding developments in therapy approaches and in evidence-based practice are important elements of the responsibility of specialist academic posts in universities. In this article, the development of narrative therapy and its theoretical background are outlined (preceded by a general outline of how the topic of fluency disorders is introduced to students at an Irish university). An example of implementing narrative therapy with a 12-year-old boy is presented. The brief case description demonstrates how narrative therapy facilitated this 12-year-old make sense of his dysfluency and his phonological disorder, leading to his improved understanding and management of the problems, fostering a sense of control that led ultimately to their resolution.

An Electronic Study Form to Support Collaborating Agents in the Management of Clinical Knowledge

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter
Keyword(s):  
Procedural Knowledge ◽  
Health Care Provision ◽  
Markup Language ◽  
Artificial Agents ◽  
Care Provision ◽  
Clinical Knowledge ◽  
Extensible Markup ◽  
Implementation Level ◽  
Biological Organisms ◽  
Representation Of Knowledge

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.

Dyadic Obligations over Complex Actions as Deontic Constraints in the Situation Calculus

2020 ◽  
Author(s):  
Jens Claßen ◽  
James Delgrande
Keyword(s):  
Artificial Intelligence ◽  
Deontic Logic ◽  
Action Theory ◽  
Prima Facie ◽  
Situation Calculus ◽  
Artificial Agents ◽  
Planning Techniques ◽  
Course Of Action ◽  
Reasoning About Action ◽  
The Given

With the advent of artificial agents in everyday life, it is important that these agents are guided by social norms and moral guidelines. Notions of obligation, permission, and the like have traditionally been studied in the field of Deontic Logic, where deontic assertions generally refer to what an agent should or should not do; that is they refer to actions. In Artificial Intelligence, the Situation Calculus is (arguably) the best known and most studied formalism for reasoning about action and change. In this paper, we integrate these two areas by incorporating deontic notions into Situation Calculus theories. We do this by considering deontic assertions as constraints, expressed as a set of conditionals, which apply to complex actions expressed as GOLOG programs. These constraints induce a ranking of "ideality" over possible future situations. This ranking in turn is used to guide an agent in its planning deliberation, towards a course of action that adheres best to the deontic constraints. We present a formalization that includes a wide class of (dyadic) deontic assertions, lets us distinguish prima facie from all-things-considered obligations, and particularly addresses contrary-to-duty scenarios. We furthermore present results on compiling the deontic constraints directly into the Situation Calculus action theory, so as to obtain an agent that respects the given norms, but works solely based on the standard reasoning and planning techniques.

Moral Psychology And Artificial Agents (Part 1): Ontologically Categorizing Bio-Cultural Humans

2020 ◽  
Author(s):  
Michael Laakasuo ◽  
Anton Berg ◽  
Jukka Sundvall ◽  
Marianna Drosinou ◽  
Volo Herzon ◽  
...  
Keyword(s):  
Evolutionary Psychology ◽  
Moral Psychology ◽  
Theoretical Background ◽  
Moral Cognition ◽  
Artificial Agents ◽  
Mind Perception ◽  
Ontological Categories

In this chapter, we will provide theoretical background of discussion on issues related to AIs. Some of the main topics, theories and frameworks are mind perception and moral cognition, moral psychology, evolutionary psychology, trans-humanism and ontological categories shaped by evolution.

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

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