Change search
Link to record
Permanent link

Direct link
BETA
Johansson, Stefan J.
Alternative names
Publications (6 of 6) Show all publications
Hagelbäck, J., Hilborn, O., Jercic, P., Johansson, S., Lindley, C., Svensson, J. & Wen, W. (2014). Psychophysiological Interaction and Empathic Cognition for Human-Robot Cooperative Work (PsyIntEC). In: Rohrbein, F.; Veiga, G.; Natale, C. (Ed.), Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the ECHORD Project (pp. 283-299). Springer
Open this publication in new window or tab >>Psychophysiological Interaction and Empathic Cognition for Human-Robot Cooperative Work (PsyIntEC)
Show others...
2014 (English)In: Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the ECHORD Project / [ed] Rohrbein, F.; Veiga, G.; Natale, C., Springer , 2014, p. 283-299Chapter in book (Refereed)
Abstract [en]

The aim of the PsyIntEC project is to explore affective and cognitive modeling of humans in human-robot interaction (HRI) as a basis for behavioral adaptation. To achieve this we have explored human affective perception of relevant modalities in human-human and human-robot interaction on a collaborative problem-solving task using psychophysiological measurements. The experiments conducted have given us valuable insight into the communicational and affective queues interplaying in such interactions from the human perspective. The results indicate that there is an increase in both positive and negative emotions when interacting with robots compared to interacting with another human or solving the task alone, but detailed analysis on shorter time segments is required for the results from all sensors to be conclusive and significant.

Place, publisher, year, edition, pages
Springer, 2014
Keywords
human-robot interaction, psychophysiology, affective modeling, robotics
National Category
Human Aspects of ICT Computer Sciences
Identifiers
urn:nbn:se:bth-6590 (URN)10.1007/978-3-319-02934-4_14 (DOI)000329752400016 ()oai:bth.se:forskinfoB5643A721B059E9AC1257D6D0036DE33 (Local ID)978-3-319-02933-7 (ISBN)oai:bth.se:forskinfoB5643A721B059E9AC1257D6D0036DE33 (Archive number)oai:bth.se:forskinfoB5643A721B059E9AC1257D6D0036DE33 (OAI)
Available from: 2014-10-10 Created: 2014-10-10 Last updated: 2018-01-11Bibliographically approved
Shaker, N., Togelius, J., Yannakakis, G., Poovanna, L., Ethiraj, V., Johansson, S., . . . Schumann,, T. (2013). The turing test track of the 2012 Mario AI Championship: Entries and evaluation. In: : . Paper presented at IEEE Conference on Computatonal Intelligence and Games (CIG). Niagara Falls: IEEE
Open this publication in new window or tab >>The turing test track of the 2012 Mario AI Championship: Entries and evaluation
Show others...
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The Turing Test Track of the Mario AI Championship focused on developing human-like controllers for a clone of the popular game Super Mario Bros. Competitors participated by submitting AI agents that imitate human playing style. This paper presents the rules of the competition, the software used, the voting interface, the scoring procedure, the submitted controllers and the recent results of the competition for the year 2012. We also discuss what can be learnt from this competition in terms of believability in platform games. The discussion is supported by a statistical analysis of behavioural similarities and differences among the agents, and between agents and humans. The paper is co-authored by the organizers of the competition (the first three authors) and the competitors.

Place, publisher, year, edition, pages
Niagara Falls: IEEE, 2013
Keywords
Playing style, Turing tests, Voting interfaces
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-6731 (URN)10.1109/CIG.2013.6633634 (DOI)oai:bth.se:forskinfoC76B717A5A853D3CC1257CBB0025F576 (Local ID)9781467353113 (ISBN)oai:bth.se:forskinfoC76B717A5A853D3CC1257CBB0025F576 (Archive number)oai:bth.se:forskinfoC76B717A5A853D3CC1257CBB0025F576 (OAI)
Conference
IEEE Conference on Computatonal Intelligence and Games (CIG)
Available from: 2014-04-15 Created: 2014-04-15 Last updated: 2018-01-11Bibliographically approved
Svensson, J. & Johansson, S. (2012). Influence Map-based Controllers for Ms. PacMan and the Ghosts. In: : . Paper presented at IEEE Conference on Computational Intelligence and Games. Granada: IEEE
Open this publication in new window or tab >>Influence Map-based Controllers for Ms. PacMan and the Ghosts
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Ms. Pac-Man, one of the classic arcade games has recently gained attention in the field of game AI through the yearly competitions of various kinds held at e.g. CIG. We have implemented an Influence Map-based controller for Ms. Pac-Man as well as for the ghosts within the game. We show that it is able to handle a number of various situations through the interesting behaviors emerging through the interplay of the different maps. It is also significantly better than the previous implementations based on similar techniques, such as potential fields.

Place, publisher, year, edition, pages
Granada: IEEE, 2012
Keywords
Influence maps, Ms PacMan
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-7141 (URN)oai:bth.se:forskinfoFD117C8682873EC4C1257AC400509901 (Local ID)oai:bth.se:forskinfoFD117C8682873EC4C1257AC400509901 (Archive number)oai:bth.se:forskinfoFD117C8682873EC4C1257AC400509901 (OAI)
Conference
IEEE Conference on Computational Intelligence and Games
Note

http://geneura.ugr.es/cig2012/papers/paper105.pdf

Available from: 2012-11-29 Created: 2012-11-28 Last updated: 2018-01-11Bibliographically approved
Hagelbäck, J. & Johansson, S. J. (2009). A Multiagent Potential Field-Based Bot for Real-Time Strategy Games. International Journal of Computer Games Technology, 2009, Article ID 910819.
Open this publication in new window or tab >>A Multiagent Potential Field-Based Bot for Real-Time Strategy Games
2009 (English)In: International Journal of Computer Games Technology, ISSN 1687-7055, Vol. 2009, article id 910819Article in journal (Refereed) Published
Abstract [en]

Bots for real-time strategy (RTS) games may be very challenging to implement. A bot controls a number of units that will have to navigate in a partially unknown environment, while at the same time avoid each other, search for enemies, and coordinate attacks to fight them down. Potential fields are a technique originating from the area of robotics where it is used in controlling the navigation of robots in dynamic environments. Although attempts have been made to transfer the technology to the gaming sector, assumed problems with efficiency and high costs for implementation have made the industry reluctant to adopt it. We present a multiagent potential field-based bot architecture that is evaluated in two different real-time strategy game settings and compare them, both in terms of performance, and in terms of softer attributes such as configurability with other state of-the-art solutions.We show that the solution is a highly configurable bot that can match the performance standards of traditional RTS bots. Furthermore, we show that our approach deals with Fog of War (imperfect information about the opponent units) surprisingly well.We also show that a multiagent potential field-based bot is highly competitive in a resource gathering scenario.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2009
Keywords
Agents, Swarm Intelligence, Emergent Behavior, Computer Games
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-8283 (URN)10.1155/2009/910819 (DOI)oai:bth.se:forskinfo9E0BB0AE1648AC12C12575220024E1AE (Local ID)oai:bth.se:forskinfo9E0BB0AE1648AC12C12575220024E1AE (Archive number)oai:bth.se:forskinfo9E0BB0AE1648AC12C12575220024E1AE (OAI)
Note

Open Access Journal Article ID 910819

Available from: 2012-09-18 Created: 2008-12-17 Last updated: 2018-01-11Bibliographically approved
Davidsson, P. & Johansson, S. J. (2006). On the Potential of Norm-Governed Behavior in Different Categories of Artificial Societies. Computational and mathematical organization theory, 12(2-3), 169-80
Open this publication in new window or tab >>On the Potential of Norm-Governed Behavior in Different Categories of Artificial Societies
2006 (English)In: Computational and mathematical organization theory, ISSN 1381-298X, E-ISSN 1572-9346, Vol. 12, no 2-3, p. 169-80Article in journal (Refereed) Published
Abstract [en]

Based on a classification of artificial societies and the identification of four different types of stakeholders in such societies, we investigate the potential of norm-governed behavior in different types of artificial societies. The basis of the analysis is the preferences of the stakeholders and how they influence the state of the society. A general conclusion drawn is that the more open a society is the more it has to rely on agent owners and designers to achieve norm-governed behavior, whereas in more closed societies the environment designers and owners may control the degree of norm-governed behavior.

National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-9259 (URN)oai:bth.se:forskinfo41537CC9C5466B65C12572EB004D6956 (Local ID)oai:bth.se:forskinfo41537CC9C5466B65C12572EB004D6956 (Archive number)oai:bth.se:forskinfo41537CC9C5466B65C12572EB004D6956 (OAI)
Available from: 2012-09-18 Created: 2007-05-30 Last updated: 2018-01-11Bibliographically approved
Davidsson, P. & Johansson, S. J. (2003). Evaluating multi-agent system architectures: A case study concerning dynamic resource allocation. In: : . Paper presented at 3rd International Workshop on engineering Societies in the Agents World. MADRID, SPAIN: SPRINGER-VERLAG BERLIN
Open this publication in new window or tab >>Evaluating multi-agent system architectures: A case study concerning dynamic resource allocation
2003 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Much effort has been spent on suggesting and implementing new architectures of Multi-Agent Systems. However, we believe the time has come to compare and evaluate these architectures in a more systematic way. Rather than just studying a particular application, we suggest that more general problem domains corresponding to sets of applications should be studied. Similarly, we argue that it is more useful to study the properties of classes of multi-agent system architectures than particular architectures. Also, it is important to evaluate the architectures in several dimensions, both different performance-related attributes, which are domain dependent and more general quality attributes, such as, robustness, modifiability, and scalability. As a case study we investigate the general problem of "dynamic resource allocation" and present four classes of multi-agent system architectures that solve this problem. These classes are discriminated by their degree of distribution of control and degree of synchronization. Finally, we instantiate each of these architecture classes and evaluate, through simulation experiments, how they solve a concrete dynamic resource allocation problem, namely load balancing and overload control of Intelligent Networks.

Place, publisher, year, edition, pages
MADRID, SPAIN: SPRINGER-VERLAG BERLIN, 2003
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-8177 (URN)000183488600013 ()oai:bth.se:forskinfoBEC9C6371F840376C12575B00020E660 (Local ID)3-540-14009-3 (ISBN)oai:bth.se:forskinfoBEC9C6371F840376C12575B00020E660 (Archive number)oai:bth.se:forskinfoBEC9C6371F840376C12575B00020E660 (OAI)
External cooperation:
Conference
3rd International Workshop on engineering Societies in the Agents World
Available from: 2012-09-18 Created: 2009-05-08 Last updated: 2018-01-11Bibliographically approved
Organisations

Search in DiVA

Show all publications