Abstract
This paper describes a method to construct multiagent systems . The method proposed here is explored accounting for the Gibson’s ecological view of information, i.e. affordance. We apply the idea of affordance not only to the reactive models of agents but also to the deliberative models of the agents. By this approach, we can avoid the frame problems that emerge from the dynamic environment including the agent’s mental world. We describe a basic representation scheme for agent modules which reflects the Gibson’s view of information resources. As a system description language, we use knowledge processing language KAUS (knowledge acquisition and utilization system) based on first order logic and axiomatic set theory. We consider as an example the multi-strata modeling scheme for developing human-computer interactive problem solving systems that are essentially multiagent systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jorg P. Muller: The Design of Intelligent Agents-A Layered Approach, Springer, 1996.
Jacques Ferber: Multi-Agent Systems, An Introduction to Distributed Artificial Intelligence, Addison-Wesley, 1999.
Feffrey M. Bradshaw (edited): Software Agents, The MIT Press, 1997.
Donald A. Norman: Some Observations on Mental Models, Readings in Human-Computer Interaction, A Multidisciplinary Approach, (eds.) Ronald M. Baecker, and William A.S. Buxton, Morgan Kaufmann, pp.241–244, 1987.
M.T. Turvey, Kevin Shockley and Claudia Carello: Affordance, Proper function, and the physical basis of peceived heaviness, Cognition 73 B17–B26, Elsevier Science, 1999.
Frank M. Brown (edited): Proceedings of 1987 Workshop, ‘The Frame Problem in Artificial Intelligence’, Morgan Kaufmann, 1987.
Gibson, J.J., The ecological approach to visual perception, Boston, MA: Houghton Mifflin, 1979.
Setsuo Ohsuga: Multi-Strata Model and Its Applications-Particularly to Auto-matic Programming, International Conference on Industrial & Engineering Appli-cation of Artificial Intelligence and Expert Systems’96, 1996.
Setsuo Ohsuga: Toward Trully Intelligent Information Systems-From Expert Sy-stems to Automatic Programming, Knowledge-Based Systems, vol.10, No.3, Else-vier, 1998.
Setsuo Ohsuga: A Medelling Scheme for New Information Systems-An Application to Enterprise Modelling and Program Specification, Proc. IEEE, Conference on Systems, Man and Cybernetics, 1999.
H. Yamauchi and S. Ohsuga: Modelling Objects by Extensions and Intensions, in Information Modelling and Knowledge Bases III, S. Ohsuga, et.al. (eds.), pp.160–173, IOS Press, 1992.
Hiroyuki Yamauchi: KAUS User’s Manual v.6.502 (PDF file), RCAST, Univ. of Tokyo, 1999.
Mario Tokoro: The Society of Objects, Readings in Agents, Morgan Kaufmann, 1998.
Yoav Shoham: Agent-oriented programming, Readings in Agent, 1998.
H. Friedrich, M. Kaiser, O. Rogalla, and R. Dillmann: Learning and Communica-tion in Multi-Agent Systems, in Distributed Arti_cial Intelligence Meets Machine Learning, Gerhard Weis (edited), 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yamauchi, H., Ohsuga, S. (2000). A Method and Language for Constructing Multiagent Systems. In: Raś, Z.W., Ohsuga, S. (eds) Foundations of Intelligent Systems. ISMIS 2000. Lecture Notes in Computer Science(), vol 1932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39963-1_65
Download citation
DOI: https://doi.org/10.1007/3-540-39963-1_65
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41094-2
Online ISBN: 978-3-540-39963-6
eBook Packages: Computer ScienceComputer Science (R0)