ACALCI 2015 (Australasian Conference on Artificial Life and Computational Intelligence) is an academic conference held in Newcastle, Australia on 2015-02-05. The paper submission deadline is 2014-09-20 (extended). Acceptance notifications are sent on 2014-10-27.
Artificial life (AL) refers to models and simulations of living systems, as they appear in nature as well as to possible alternative life forms and concepts that may not have occurred in natural evolution. Computational Intelligence (CI) developed from the traditional fields of artificial intelligence into various areas of nature inspired computing and optimisation. It is often referred to as an umbrella for the areas of evolutionary computation, artificial neural networks, fuzzy systems and other learning systems. While AL attempts to understand nature through modelling and simulation, CI attempts to translate this understanding into algorithms for learning and optimisation.
ACALCI features international research in AL and CI and aims at becoming an exciting forum for innovative, emerging, cross-disciplinary and sometimes exotic ideas associated with the computational and algorithmic concepts underlying living and intelligent systems. The focus is on software-based and agent-based forms of artificial life but may also include computational aspects of synthetic life. Artificial life concepts can occur on sub-cellular, cellular, cell assembly/network, organism, or society levels.
ACALCI will be organised in broad technical sessions that bring together experts from different fields in AL, CI and associated areas. The forum also hopes to encourage ALCI applied research in domains as diverse as health, the creative arts and finance (to name a few). ACALCI encourages presentations, demonstrations, performances and discussions on new innovative research and interdisciplinary projects. Invited are high-quality papers relevant to AL or CI where the topics of interest include but are not limited to:
Adaptive Ecologies
Affective Computing
AL and CI in the Creative Arts
Ant Colony Optimization
Applications of ALife Technologies
Autonomous Agents and Robotics
Architecture and CI
Artificial Bee Colony Algorithms
Artificial Chemistry
Artificial Evolution
Artificial Insects
Artificial Neural Networks
Artificial Societies and Markets
Augmented and Virtual Realities
Autonomous Agents
Behaviour Simulations and Analysis
Big Data
Biocybernetic Computing
Bioinformatics
Biologically-Inspired Optimisation
Brain-Computer Interfaces
Braintheory
Cellular Automata
Chatbots
Coevolution
Cognitive Neuroscience
Cognition and Memory
Collective Intelligence
Companion Robots
Complex Systems
Complexity of Alife Systems
Computational Intelligence
CI for Games
Computational Neuroscience
Connectionism
Consciousness and AI
Creative Arts, Music and CI
Crowd Behaviour Analysis
Data Mining in Alife and Biosystems
Deep Learning
Design Analysis using CI
Developmental Learning
Digital Societies
Dimensionality Reduction
Embodiment and Robotics
Emergence of Collaborative Behaviour
Engineering of Consciousness and Mind
Epidemiology Simulations
Ethics, Privacy and Security in CI
Evo-Devo Modelling
Evolutionary Computation
Evolutionary Design
Facial Expression Analysis
Forecasting of Complex Systems
Fractal Techniques
Game Playing Agents
Generative Design
Human Machine Interaction
Humanities and Artificial Life
Humanoid Robots
Image and Video Analysis
Implementation Techniques in AL and CI
Information Theoretic Learning
Intelligent Home Automation
Language Processing
Legged and Crawling Robots
Machine Learning
Machine Olfaction
Manifold Learning
Mathematical Models in Alife
Medical Image Analysis and CI
Memetic Algorithms
Metalearning
Models of Emotions
Multi-Agent Systems
Music and Artificial Intelligence
Neural Information Processing
Neurodynamic Programming
Networks in Alife and Biology
Non-player Game Characters
Nursebots and Applications in Aged Care
Optimisation and Heuristics
Organic Computing
Origins of Life
Pattern Recognition
Parallel and Distributed Computing in CI
Particle Swarm Optimization
Philosophy of Artificial Life
Recurrent Networks
Reservoir Computing
Robotic Agents
Self-Organization
Self-Replication
Semi-Supervised Learning
Simulation and Modelling
Smart Devices
Smart Grid Techniques
Social Networks and Alife
Sociogenetic Dynamics
Spiking Neural Networks
Statistical Learning Theory
Support Vector Machines
Swarm Algorithms
Synthetic Life Computations
Synthetic Biology
Systems Biology
Timeseries Analysis
Visual Information Processing
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