caa a22 4500 605468508 CHVBK 20210128100317.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00500-014-1330-9 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1330-9 Applications and design of cooperative multi-agent ARN-based systems [Elektronische Daten] [Claire Gerrard, John McCall, Christopher Macleod, George Coghill] The Artificial Reaction Network (ARN) is an artificial chemistry inspired by Cell Signalling Networks. Its purpose is to represent chemical circuitry and to explore the computational properties responsible for generating emergent high-level behaviour. In this paper, the design and application of ARN-based cell-like agents termed "Cytobots” are explored. Such agents provide a facility to explore the dynamics and emergent properties of multicellular systems. The Cytobot ARN is constructed by combining functional motifs found in real biochemical networks. By instantiating this ARN, multiple Cytobots are created, each of which is capable of recognising environmental patterns, stigmergic communication with others and controlling its own trajectory. Applications in biological simulation and robotics are investigated by first applying the agents to model the life-cycle phases of the cellular slime mould D. discoideum and then to simulate an oil-spill clean-up operation. The results demonstrate that an ARN-based approach provides a powerful tool for modelling multi-agent biological systems and also has application in swarm robotics. Springer-Verlag Berlin Heidelberg, 2014 Artificial Reaction Network (ARN) nationallicence Artificial Chemistry nationallicence Artificial Neural Network (ANN) nationallicence Swarm Robotics nationallicence Gerrard Claire IDEAS Research Institute, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut McCall John IDEAS Research Institute, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut Macleod Christopher School of Engineering, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut Coghill George School of Computing Science, University of Aberdeen, AB24 3FX, Aberdeen, UK aut Soft Computing Springer Berlin Heidelberg 19/6(2015-06-01), 1581-1594 1432-7643 19:6<1581 2015 19 500 https://doi.org/10.1007/s00500-014-1330-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1330-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gerrard Claire IDEAS Research Institute, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut NATIONALLICENCE 700 1- McCall John IDEAS Research Institute, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut NATIONALLICENCE 700 1- Macleod Christopher School of Engineering, Robert Gordon University, AB10 7GJ, Aberdeen, UK aut NATIONALLICENCE 700 1- Coghill George School of Computing Science, University of Aberdeen, AB24 3FX, Aberdeen, UK aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/6(2015-06-01), 1581-1594 1432-7643 19:6<1581 2015 19 500