Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construct ....Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construction of simulation models to push the investigation beyond experimental limits. The Project should significantly advance our understanding of how communication networks enable the development of large societies, and thus of how to better manage autonomous man-made networks, most importantly the Internet-of-Things.Read moreRead less
Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this ....Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.Read moreRead less
Evolution of intelligence in small brains: how to navigate the messy natural outdoors smartly. This project unravels how small-brained desert ants navigate expertly using simple and coarse-grade visual cues, focusing on 1) how they use skylines, where the tops of terrestrial objects meet the sky, and 2) how they search efficiently for goals. The outcomes will be invaluable for designing robots that can navigate in the messy natural outdoors.
Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an ....Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an animal health and production problem in the life of the commercial pig. This project will generate new knowledge on early life management to endow stress resilience in pigs, with expected benefits for animal welfare, farm productivity and profitability.Read moreRead less
Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the percep ....Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the perception of magnetic cues. Geomagnetic cues in the area of the nest will be artificially manipulated to test how ants use this cue. Probing the use of magnetic cues has potential benefits for projects of artificial autonomous navigation in situations when visual cues are unavailable, such as exploring a deep mine.
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Discovery Early Career Researcher Award - Grant ID: DE220100096
Funder
Australian Research Council
Funding Amount
$436,032.00
Summary
Understanding the relationship between the social environment and cognition. The predominant theory for the evolution of intelligence, the social intelligence hypothesis (SIH), posits that within-group social interactions drive cognitive evolution. But the SIH overlooks a major component of social life: interactions with outsiders of the same species. Using a unique combination of meta-analytical and experimental approaches, the DECRA project will test the predictions of an expanded SIH, incorpo ....Understanding the relationship between the social environment and cognition. The predominant theory for the evolution of intelligence, the social intelligence hypothesis (SIH), posits that within-group social interactions drive cognitive evolution. But the SIH overlooks a major component of social life: interactions with outsiders of the same species. Using a unique combination of meta-analytical and experimental approaches, the DECRA project will test the predictions of an expanded SIH, incorporating the “Napoleonic” cognitive challenges posed by outsiders. The expected outcome is to gain a new understanding of which factors govern cognitive evolution – one of the longest-running debates in evolutionary biology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101513
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outc ....Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outcomes of the project include new models for understanding self-assembly in complex systems and new control algorithms for robot swarms. The project should provide significant benefits such as programming to allow robot swarms to autonomously self-assemble useful structures that enhance their operational capabilities.Read moreRead less
Transgenerational Consequences of Different Environmental Experiences. The project aims to deliver an integrative overview of behavioural, evolutionary and environmental epigenetics. In particular, by studying why stress-related experiences of organisms (e.g. exposure to toxins) can be passed onto the future generations regardless of its seemingly fitness-reducing impacts. It also aims to test if the seemingly beneficial effect of non-stress related experiences (e.g. environmental enrichment) ca ....Transgenerational Consequences of Different Environmental Experiences. The project aims to deliver an integrative overview of behavioural, evolutionary and environmental epigenetics. In particular, by studying why stress-related experiences of organisms (e.g. exposure to toxins) can be passed onto the future generations regardless of its seemingly fitness-reducing impacts. It also aims to test if the seemingly beneficial effect of non-stress related experiences (e.g. environmental enrichment) can be inherited transgenerationally. This project involves both research synthesis (e.g. meta-analysis) and experiments on zebrafish employing cutting-edge statistical, computational and molecular methods along with behavioural assays. Also, the outcomes of the synthesis are expected to guide future work in the field. Read moreRead less
Overcoming limits of miniaturisation to enhance spatial memory capacities. Ensuring optimal efficiency at the smallest possible physical limit is a challenge for technical systems, which has been elegantly solved by biological systems. This project aims to identify how insects with miniature brains enhance their memory capacities. It will leverage previous ARC funded research on navigation of Australian ants and apply sophisticated analytical tools to quantify the neural connectivity in the brai ....Overcoming limits of miniaturisation to enhance spatial memory capacities. Ensuring optimal efficiency at the smallest possible physical limit is a challenge for technical systems, which has been elegantly solved by biological systems. This project aims to identify how insects with miniature brains enhance their memory capacities. It will leverage previous ARC funded research on navigation of Australian ants and apply sophisticated analytical tools to quantify the neural connectivity in the brain in the context of spatial memory. Expected outcomes include understanding how expensive neural tissue can be miniaturised for efficient spatial navigation, identifying the consequences of miniaturisation for developing miniature and autonomous agents, enhancing research capacity and institutional collaborations.Read moreRead less
Social insects as model systems in complexity science. Many optimisation algorithms are based on the behaviour of social insects. These algorithms function well under static conditions, when there is only one optimal solution. This project will determine how individual insect behaviour affects collective behaviour. Outcomes will allow the development of better algorithms.