Elements of interaction: Turing award lecture
Communications of the ACM
Why interaction is more powerful than algorithms
Communications of the ACM
Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Sequential abstract-state machines capture sequential algorithms
ACM Transactions on Computational Logic (TOCL)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Abstract state machines capture parallel algorithms
ACM Transactions on Computational Logic (TOCL)
Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology)
Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology)
Handbook of Granular Computing
Handbook of Granular Computing
Rough Granular Computing in Knowledge Discovery and Data Mining
Rough Granular Computing in Knowledge Discovery and Data Mining
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Methods for task allocation via agent coalition formation
Artificial Intelligence
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
A Petri net model for membrane systems with dynamic structure
Natural Computing: an international journal
Wisdom Technology: A Rough-Granular Approach
Aspects of Natural Language Processing
Agent Support for Policy-Driven Collaborative Mission Planning
The Computer Journal
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Classification of dynamics in rough sets
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Information systems in modeling interactive computations on granules
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
On Computing Extensions and Restrictions of Information Systems Noting Some Order Properties
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
Tolerance Approximation Spaces
Fundamenta Informaticae
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
A characterization of rough separability
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Granular approach in knowledge discovery: real time blockage management in fire service
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Interactive information systems: Toward perception based computing
Theoretical Computer Science
Rough Set Based Reasoning About Changes
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Concept Formation: Rough Sets and Scott Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Outlier Detection by Interaction with Domain Experts
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Perspectives on Uncertainty and Risk in Rough Sets and Interactive Rough-Granular Computing
Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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In this paper, we discuss the importance of information systems in modeling interactive computations performed on (complex) granules and we propose a formal approach to interactive computations based on generalized information systems and rough sets which can be combined with other soft computing paradigms such as fuzzy sets or evolutionary computing, but also with machine learning and data mining techniques. Information systems are treated as dynamic granules used for representing the results of the interaction of attributes with the environment. Two kinds of attributes are distinguished, namely, the perception attributes, including sensory attributes, and the action attributes. Sensory attributes are the basic perception attributes, other perception attributes are constructed on the basis of the sensory ones. Actions are activated when their guards, being often complex and vague concepts, are satisfied to a satisfactory degree. The guards can be approximated on the basis of measurements performed by sensory attributes rather than defined exactly. Satisfiability degrees for guards are results of reasoning called the adaptive judgment. The approximations are induced using hierarchical modeling. We show that information systems can be used for modeling more advanced forms of interactions in hierarchical modeling. The role of hierarchical interactions is emphasized in the modeling of interactive computations. Some illustrative examples of interactions used in the ACT-R 6.0 system are reported. ACT-R 6.0 is based on a cognitive architecture and can be treated as an example of a highly interactive complex granule which can be involved in hierarchical interactions. For modeling of interactive computations, we propose much more general information systems than the studied dynamic information systems (see, e.g., Ciucci (2010) [8] and Palasinski and Pancerz (2010) [32]). For example, the dynamic information systems are making it possible to consider incremental changes in information systems. However, they do not contain the perception and action attributes necessary for modeling interactive computations, in particular for modeling intrastep interactions.