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Syntactic Measures of Complexity
TLDR
This dissertation aims to clarify the role of language in the development of Complexity and investigates the role that language plays in the design of models and their application to complex systems. Expand
Social Intelligence
Sociology and Simulation: Statistical and Qualitative Cross‐Validation1
Agent‐based simulation modeling enables the construction of formal models that simultaneously can be microvalidated against accounts of individual behavior and macrovalidated against aggregate dataExpand
Replication, Replication and Replication: Some hard lessons from model alignment
TLDR
A published simulation model was replicated in two independent implementations so that the results as well as the conceptual design align and revealed some weaknesses in the original model, which otherwise might not have come to light. Expand
From KISS to KIDS - An 'Anti-simplistic' Modelling Approach
TLDR
A new approach is suggested under the slogan “Keep it Descriptive Stupid” (KIDS) that encapsulates a trend in increasingly descriptive agent-based social simulation that contrasts sharply with the KISS approach. Expand
What is Complexity? - The philosophy of complexity per se with application to some examples in evolution
TLDR
It is proposed that complexity can be only usefully applied to constructions within a given language and that complexity is usefully differentiated from the concepts of size, ignorance, variety, minimum description length and order. Expand
A conversational intelligent tutoring system to automatically predict learning styles
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamicallyExpand
Errors and Artefacts in Agent-Based Modelling
The objectives of this paper are to define and classify different types of errors and artefacts that can appear in the process of developing an agent-based model, and to propose activities aimed atExpand
Applying a socially inspired technique (tags) to improve cooperation in P2P networks
TLDR
A simple algorithm is proposed that maintains high levels of cooperation in peer-to-peer networks of selfish adaptive peers while performing the collective task of file sharing and is demonstrated to be scalable, robust, and decentralized. Expand
Model-to-Model Analysis
TLDR
The aim of the workshop was to gather researchers in MABS who were interested in understanding and furthering the transferability of knowledge between models, and received fourteen submissions from which eight were presented at the workshop. Expand
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