| 1. |
- Froese, Tom, et al.
(författare)
-
Enactive artificial intelligence : Investigating the systemic organization of life and mind
- 2009
-
Ingår i: Artificial Intelligence. - : Elsevier. - 0004-3702 .- 1872-7921. ; 173:3-4, s. 466-500
-
Tidskriftsartikel (refereegranskat)abstract
- The embodied and situated approach to artificial intelligence (AI) has matured and become a viable alternative to traditional computationalist approaches with respect to the practical goal of building artificial agents, which can behave in a robust and flexible manner under changing real-world conditions. Nevertheless, some concerns have recently been raised with regard to the sufficiency of current embodied AI for advancing our scientific understanding of intentional agency. While from an engineering or computer science perspective this limitation might not be relevant, it is of course highly relevant for AI researchers striving to build accurate models of natural cognition. We argue that the biological foundations of enactive cognitive science can provide the conceptual tools that are needed to diagnose more clearly the shortcomings of current embodied AI. In particular, taking an enactive perspective points to the need for AI to take seriously the organismic roots of autonomous agency and sense-making. We identify two necessary systemic requirements, namely constitutive autonomy and adaptivity, which lead us to introduce two design principles of enactive AI. It is argued that the development of such enactive AI poses a significant challenge to current methodologies. However, it also provides a promising way of eventually overcoming the current limitations of embodied AI, especially in terms of providing fuller models of natural embodied cognition. Finally, some practical implications and examples of the two design principles of enactive AI are also discussed.
|
|
| 2. |
- Li, Jun
(författare)
-
Learning reactive behaviors with constructive neural networks in mobile robotics
- 2006
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This thesis investigates a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning (UL), supervised learning (SL), and reinforcement learning (RL). The approach is characterized by the use of constructive artificial neural networks (ANNs). The sensor-motor mappings acquired by the learning system form part of a tight "sense-learn-act" cycle, as opposed to "sense-plan-act", thus allowing the robot to learn concepts within its own sensorimotor experience while avoiding anthropomorphic bias.Novel techniques for robot learning using constructive radial basis function (RBF) networks are introduced. This leads to a self-organizing, incremental and local construction of the sensorimotor space for learning different behaviors with the same basic architecture, thus a great simplification of the engineering design process of the ANN's structure. Integration of the different learning paradigms takes place in a two-layer learning architecture.The lower layer with the UL and SL paradigms is used to quickly construct a controller for the required behavior. The upper layer with the RL paradigm is used for tuning and refining of the controller resulting from the lower layer (or a controller obtained from other prior knowledge) to further improve the robustness and performance of the behavior. Both layers apply constructive RBF networks, taking into account the different requirements of the respective learning paradigms.The learning system is verified by a number of experiments on a real robot. We begin our experiments with the lower layer together with a teaching-by-demonstration approach for acquiring different behaviors. The experimental results show that the lower layer can learn a wide range of robot behaviors, thus demonstrating the task non-specific nature of the architecture. We then demonstrate the necessity of the layered learning architecture for more complex behaviors by a docking behavior requiring precise positioning at a goal location. The results obtained show that learning with only the lower layer can not obtain robust performance and optimal trajectories, while learning with only the upper layer is impractical and even infeasible on the real robot due to the slow learning process of the RL paradigm. With layered learning, however, the upper layer is speeded up by bootstrapping from the learnedcontroller in the lower layer, and a robust and time-optimal controller can be obtained.
|
|
| 3. |
- Aktius, Malin, et al.
(författare)
-
A Behavior-Based Model of the Hydra, Phylum Cnidaria
- 2007
-
Ingår i: 9th European Conference, ECAL 2007. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540749127 ; , s. 1024-1033
-
Konferensbidrag (refereegranskat)abstract
- Behavior-based artificial systems, e.g. mobile robots, are frequently designed using (various degrees and levels of) biology as inspiration, but rarely modeled based on actual quantitative empirical data. This paper presents a data-driven behavior-based model of a simple biological organism, the hydra. Four constituent behaviors were implemented in a simulated animal, and the overall behavior organization was accomplished using a colony-style architecture (CSA). The results indicate that the CSA, using a priority-based behavioral hierarchy suggested in the literature, can be used to model behavioral properties like latency, activation threshold, habituation, and duration of the individual behaviors of the hydra. Limitations of this behavior-based approach are also discussed.
|
|
| 4. |
- Aktius, Malin, et al.
(författare)
-
Kognitiv robotik
- 2012. - 1
-
Ingår i: Kognitionsvetenskap. - : Studentlitteratur. - 9789144051666 ; , s. 551-560
-
Bokkapitel (refereegranskat)
|
|
| 5. |
- Alenljung, Beatrice, et al.
(författare)
-
User Experience in Social Human-Robot Interaction
- 2017
-
Ingår i: International Journal of Ambient Computing and Intelligence (IJACI). - : I G I Global. - 1941-6237 .- 1941-6245. ; 8:2, s. 12-31
-
Tidskriftsartikel (refereegranskat)abstract
- Socially interactive robots are expected to have an increasing importance in human society. For social robots to provide long-term added value to people’s lives, it is of major importance to stressthe need for positive user experience (UX) of such robots. The human-centered view emphasizes various aspects that emerge in the interaction between humans and robots. However, a positive UX does not appear by itself but has to be designed for and evaluated systematically. In this paper, the focus is on the role and relevance of UX in human-robot interaction (HRI) and four trends concerning the role and relevance of UX related to socially interactive robots are identified, and three challenges related to its evaluation are also presented. It is argued that current research efforts and directions are not sufficient in HRI research, and that future research needs to further address interdisciplinary research in order to achieve long-term success of socially interactive robots.
|
|
| 6. |
- Andler, Sten F., et al.
(författare)
-
Information Fusion from Databases, Sensors and Simulations : A Collaborative Research Program
- 2005
-
Ingår i: Proceedings. - : IEEE Computer Society. - 0769523064 ; , s. 234-241
-
Konferensbidrag (refereegranskat)abstract
- This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program’s general approach and main research areas, with a particular focus on the role of information fusion in systems development
|
|
| 7. |
- Axell, Cecilia, 1965-, et al.
(författare)
-
Artificial Intelligence in Contemporary Children’s Culture : A Case Study
- 2022
-
Ingår i: PATT 39. - : Memorial University of Newfoundland. - 9780889015050 ; , s. 376-386
-
Konferensbidrag (refereegranskat)abstract
- The overall aim of the school subject technology is to develop pupils’ understanding of technological solutions in everyday life. A starting point for this study is that it is important for teachers in technology to have knowledge of pupils’ prior conceptions of the subject content since these can both support and hinder their learning. In a previous study we found that when pupils (age 7) talk about digital technology and programming, they often refer to out-of-school experiences such as films, television programmes and books. Typically, their descriptions include robots with some form of intelligence. Hence, it seems like children’s culture may have an impact on the conceptions they bring to the technology classroom. In light of this, it is vital that technology teachers have knowledge about how robots and artificial intelligence (AI) are portrayed in children’s culture, and how pupils perceive these portrayals. However, knowledge about these aspects of technology in children’s culture is limited.The purpose of this study is to investigate how artifacts with artificial intelligence are portrayed in television programmes and literature aimed at children. This study is the first step in a larger study aiming to examine younger pupils’ conceptions and ideas about artificial intelligence. A novice conception of artificial intelligence can be described as an understanding of what a programmed device may, or may not, “understand” in relation to a human, which includes discerning th edifferences between the artificial and the human mind. Consequently, as a theoretical framework for investigating how artificial intelligence is portrayed in children’s culture, the concepts of Theoryof Mind (ToM) and Theory of Artificial Mind (ToAM), are used. The empirical material presented in this paper, i.e. four children’s books and a popular children’s television programme, was analysed using a qualitative thematic analysis. The results show that the portrayal of AI is ambiguous. The structure and function of the robot has elements of both human and machine, and the view of the human fictional characters of the robot is sometimes that of a machine, sometimes of a human. In addition, the whole empirical material includes portrayals of AI as a threat as well as a saviour. As regards implications, there is a risk that without real-life experiences of robots, the representations children’s books and other media convey can lead to ambivalent feelings towards real robots.
|
|
| 8. |
- Babel, Franziska, et al.
(författare)
-
Cars As Social Agents (CarSA): A Perspective Shift in Human-Vehicle Interaction
- 2023
-
Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 498-499
-
Konferensbidrag (refereegranskat)abstract
- The rapid advancement of autonomous vehicle (AV) technology has opened up new possibilities and challenges in the domain of human-agent interaction. As AVs become increasingly prevalent on our roads, it is crucial to understand how humans perceive and interact with these intelligent systems. This workshop aims to bring together researchers and practitioners to explore the perception of cars as social agents. We explore the shift in user perception and the implications for interactions between autonomous vehicles, human drivers, and vulnerable road users (pedestrians, cyclists, etc.). Additionally, we investigate the communication of goals and intentions between cars and humans, as well as issues related to mixed agency, stakeholder perspectives, in-vehicle avatars, and human-vehicle power dynamics. The workshop aims to uncover the benefits, risks, and design principles associated with this emerging paradigm.
|
|
| 9. |
- Babel, Franziska, et al.
(författare)
-
Cyclists' Perception of Automated Shuttle Buses in Shared Spaces
- 2023
-
Ingår i: PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023. - : ASSOC COMPUTING MACHINERY. - 9798400708244 ; , s. 467-469
-
Konferensbidrag (refereegranskat)abstract
- As automated shuttle buses gradually become a part of urban traffic solutions, their interactions with vulnerable road users need careful consideration. However, the cyclists' perspectives on autonomous shuttle buses have not been explored extensively. This research addresses this gap by surveying 50 cyclists who regularly encounter automated shuttle buses. The results show that, in general, cyclists exhibit a high level of trust in the safety of the buses. Nevertheless, approximately one-third of the cyclists expressed disapproval as the buses tend to drive on the bicycle lane, leading them to wish for infrastructural solutions to avoid forcing cyclists to divert to pedestrian walkways. Identifying potential conflicts like these is vital for the development of effective and acceptable human-agent interactions in road traffic environments.
|
|
| 10. |
|
|
