scholarly journals Biologically Inspired and Agent-Based Algorithms for Music

2018 ◽  
Author(s):  
Alice Eldridge ◽  
Oliver Bown
Keyword(s):  
Contemporary Music ◽  
Adaptive Behaviour ◽  
Biologically Inspired ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Music Making ◽  
Algorithmic Music ◽  
Biologically Inspired Algorithms ◽  
Systems Art ◽  
Future Work

This chapter examines a range of approaches to algorithmic music making inspired by biological systems, and considers topics at the intersection of contemporary music, computer science, and computational creativity. A summary of core precursor movements both within and beyond musical practice (A Life, cybernetics, systems art, etc.) sets the scene, before core models and algorithms are introduced and illustrated. These include evolutionary algorithms, agent-based modelling and self-organizing systems, adaptive behaviour and interactive performance systems, and ecosystemic approaches to composition and computational creative discovery. The chapter closes by reviewing themes for future work in this area: autonomy and agency, and the poetics of biologically inspired algorithms.

Agent-Based Modelling of Socio-Ecosystems

2010 ◽  
Vol 2 (4) ◽  
pp. 17-38 ◽  
Author(s):  
Stefano Balbi ◽  
Carlo Giupponi
Keyword(s):  
Climate Change ◽  
Global Environmental Change ◽  
Interdisciplinary Approach ◽  
Past Research ◽  
Adaptive Behaviour ◽  
Bottom Up ◽  
Economic Implications ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Environmental Models

The integrated—environmental, economic and social—analysis of climate change calls for a paradigm shift as it is fundamentally a problem of complex, bottom-up and multi-agent human behaviour. There is a growing awareness that global environmental change dynamics and the related socio-economic implications involve a degree of complexity that requires an innovative modelling of combined social and ecological systems. Climate change policy can no longer be addressed separately from a broader context of adaptation and sustainability strategies. Past research on artificial intelligence and social simulation has developed a promising methodology. Literature on agent-based modelling (ABM) shows it’s potential to couple social and environmental models and incorporate the influence of micro-level decision making in the system dynamics and to study the emergence of collective responses to policies. However, there are few studies that concretely apply this methodology to the study of climate change related issues. The analysis in this paper supports the idea that today ABM is a consolidated interdisciplinary approach for the bottom-up exploration of climate policies, especially because it can take into account adaptive behaviour and heterogeneity of the system’s components.

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Skin Stem Cell Hypotheses and Long Term Clone Survival – Explored Using Agent-based Modelling

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
X. Li ◽  
A. K. Upadhyay ◽  
A. J. Bullock ◽  
T. Dicolandrea ◽  
J. Xu ◽  
...  
Keyword(s):  
Stem Cell ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

A Comparison between Agent-Based and GIS-Based Tsunami Evacuation Simulations: A Case Study for Tofino, BC

2021 ◽  
Author(s):  
Joseph Kim ◽  
Tomoyuki Takabatake ◽  
Ioan NISTOR ◽  
Tomoya Shibayama
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Mortality Rates ◽  
Geographical Information ◽  
Evacuation Planning ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Validation Tool

Soft measures such as evacuation planning are recommended to mitigate the loss of life during tsunamis. Two types of evacuation models are widely used: (1) Agent-based modelling (ABM) defines sets of rules that individual agents in a simulation follow during a simulated evacuation. (2) Geographical information systems (GIS) are more accessible to city planners, but cannot incorporate the dynamic behaviours found in ABMs. The two evacuation modelling methodologies were compared through a case study by assessing the state of evacuation preparedness and investigating potential mitigation options. The two models showed different magnitudes for mortality rates and facility demand but had similar trends. Both models agreed on the best solution to reduce the loss of life for the community. GIS may serve as a useful tool for initial investigation or as a validation tool for ABMs. ABMs are recommended for use when modelling evacuation until GIS methodologies are further developed.

Agent-based modelling of car platooning for traffic optimization

2021 ◽  
Author(s):  
Michal Lemiec ◽  
Karol Malinowski ◽  
Mateusz Szymonski ◽  
Maria Ganzha ◽  
Marcin Paprzycki
Keyword(s):  
Agent Based ◽  
Agent Based Modelling ◽  
Traffic Optimization
Sign in / Sign up

Export Citation Format

Share Document