Towards Approximate BGI Systems

Authors:
Barbara Dunin-Keplicz;Andrzej Szałas
Affiliations:
Institute of Informatics, Warsaw University, Warsaw, Poland, and ICS, Polish Academy of Sciences, Warsaw, Poland;IDA, Linköping University, Linköping, Sweden, and WSIiE, Olsztyn, Poland
Venue:
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Year:
2007

Citing 15
Cited 1

Reasoning about knowledge

Reasoning about knowledge
Tolerance approximation spaces

Fundamenta Informaticae - Special issue: rough sets
Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data
Epistemic Logic for AI and Computer Science

Epistemic Logic for AI and Computer Science
Foundations of Databases: The Logical Level

Foundations of Databases: The Logical Level
Incomplete Information: Structure, Inference, Complexity

Incomplete Information: Structure, Inference, Complexity
A Generalized Definition of Rough Approximations Based on Similarity

IEEE Transactions on Knowledge and Data Engineering
Collective intentions

Fundamenta Informaticae
Knowledge Representation Techniques (Studies in Fuzziness and Soft Computing)

Knowledge Representation Techniques (Studies in Fuzziness and Soft Computing)
Evolution of Collective Commitment during Teamwork

Fundamenta Informaticae
Communication between agents with heterogeneous perceptual capabilities

Information Fusion
A Tuning Machine for Cooperative Problem Solving

Fundamenta Informaticae - Multiagent Systems (FAMAS'03)
Complexity Issues in Multiagent Logics

Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Dynamics of Approximate Information Fusion

RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Similarity, approximations and vagueness

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I

Agents in approximate environments

Games, Actions and Social Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper focuses on modelling perception and vague concepts in the context of multiagent Bgi(Beliefs, Goalsand Intentions) systems. The starting point is the multimodal formalization of such systems. Then we make a shift from Kripke structures to similarity structures, allowing us to model perception and vagueness in an uniform way, "compatible" with the multimodal approach. As a result we introduce and discuss approximate Bgisystems, which can also be viewed as a way to implement multimodal specifications of Bgisystems in the context of perception.