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Rough Ethology: Towards a Biologically-Inspired Study of Collective Behavior in Intelligent Systems with Approximation Spaces

https://doi.org/10.1007/11427834_7
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Information granules: Towards foundations of granular computing
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Monitoring, Security, and Rescue Techniques in Multiagent Systems
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Approximation Spaces for Hierarchical Intelligent Behavioral System Models
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Flow Graphs and Decision Algorithms
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Rough Sets: Trends and Challenges
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Principles of Data Mining and Knowledge Discovery
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Fuzzy Sets and Systems — IFSA 2003
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Rough Sets and Information Granulation
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Toward Intelligent Systems: Calculi of Information Granules
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Analysis of Image Sequences for the Unmanned Aerial Vehicle
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inferredcites →https://doi.org/10.1007/3-540-45813-1_1openalex-snapshot
In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way
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Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach
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The Elements of Statistical Learning
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Pattern Classification
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Advances in Soft Computing
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Approximation Spaces and Information Granulation
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Constrained Sums of Information Systems
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Some Issues on Rough Sets
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Approximation Space for Software Models
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Design Patterns in Intelligent Systems
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Information Granules in Distributed Environment
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Towards Discovery of Information Granules
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
inferredcites →https://doi.org/10.1007/978-3-540-85565-1openalex-snapshot
Knowledge-Based Intelligent Information and Engineering Systems
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Rough Sets and Current Trends in Computing
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Rough-Neural Computing
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Elementary Rough Set Granules: Toward a Rough Set Processor
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Information Granulation and Pattern Recognition
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Information Granules and Rough-Neural Computing
inferredcites →https://doi.org/10.1007/978-3-7908-1767-6_5openalex-snapshot
Line-Crawling Robot Navigation: A Rough Neurocomputing Approach
inferredcites →https://doi.org/10.1007/978-3-7908-1776-8openalex-snapshot
Rough Sets
inferredcites →https://doi.org/10.1007/978-3-7908-1883-3openalex-snapshot
Rough Sets in Knowledge Discovery 2
inferredcites →https://doi.org/10.1007/978-3-7908-1883-3_6openalex-snapshot
Approximation Spaces, Reducts and Representatives
inferredcites →https://doi.org/10.1007/b136302openalex-snapshot
Foundations of Intelligent Systems: 15th International Symposium ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings
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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
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Transactions on Rough Sets I
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Rough sets
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Autonomous Robotic Systems
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inferredcites →https://doi.org/10.1016/j.engappai.2004.04.012openalex-snapshot
Approximation space for intelligent system design patterns
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Rough mereology: A new paradigm for approximate reasoning
inferredcites →https://doi.org/10.1016/s1474-6670(17)38315-5openalex-snapshot
Reinforcement Learning
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Measuring Behaviour
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Generalization and Tinbergen's four whys
inferredcites →https://doi.org/10.1049/pbpc004eopenalex-snapshot
UML for Systems Engineering: watching the wheels
inferredcites →https://doi.org/10.1063/1.3048143openalex-snapshot
Classical Dynamics of Particles and Systems
inferredcites →https://doi.org/10.1093/oso/9780195131581.001.0001openalex-snapshot
Swarm Intelligence
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/mspec.2004.1353792openalex-snapshot
The view from the top [technology forecasting]
inferredcites →https://doi.org/10.1109/pacrim.2003.1235904openalex-snapshot
Intelligent system design and architectural patterns
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1111/0824-7935.00159openalex-snapshot
Rough Mereological Calculi of Granules: A Rough Set Approach To Computation
inferredcites →https://doi.org/10.1111/j.1439-0310.1963.tb01161.xopenalex-snapshot
On aims and methods of Ethology
inferredcites →https://doi.org/10.1145/219717.219791openalex-snapshot
Rough sets
inferredcites →https://doi.org/10.3233/fi-1996-272311openalex-snapshot
TOLERANCE APPROXIMATION SPACES
inferredcites →https://doi.org/10.3929/ethz-a-010090466openalex-snapshot
Physical connections and cooperation in swarm robotics
inferredcites →https://doi.org/10.5555/2371116.2371126openalex-snapshot
Towards an Ontology of Approximate Reason
inferredcites →https://doi.org/10.5860/choice.34-4483openalex-snapshot
Handbook of ethological methods
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Layered Learning in Multiagent Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Computational Intelligence
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Behavioral Pattern Identification Through Rough Set Modelling
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On-Line Elimination of Non-relevant Parts of Complex Objects in Behavioral Pattern Identification
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Rough Sets in Perception-Based Computing
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Matching 2D Image Segments with Genetic Algorithms and Approximation Spaces
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Wireless Adaptive Therapeutic TeleGaming in a Pervasive Computing Environment
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Near Sets. Toward Approximation Space-Based Object Recognition
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Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
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Knowledge Discovery Using Rough Set Theory
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Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach
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Rudiments of rough sets
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INFLUENCE OF TEMPERATURE ON SWARMBOTS THAT LEARN
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