J. Varughese, Hannes Hornischer, R. Thenius, F. Wotawa, T. Schmickl
{"title":"Collective Event Detection Using Bio-inspired Minimalistic Communication in a Swarm of Underwater Robots","authors":"J. Varughese, Hannes Hornischer, R. Thenius, F. Wotawa, T. Schmickl","doi":"10.1162/isal_a_00232","DOIUrl":"https://doi.org/10.1162/isal_a_00232","url":null,"abstract":"Mobile sensor networks and robotic swarms are being used for monitoring and exploring environments or environmental events due to the advantages offered by their distributed nature. However, coordination and self-organization of a large number of individuals is often costly in terms of energy and computation power, thus limiting the longevity of the distributed system. In this paper we present a bio-inspired algorithm enabling a robotic swarm to collectively detect anomalies in environmental parameters in a self-organized, reliable and energy efficient manner. Individuals in the swarm communicate via 1-bit signals to collectively confirm the detection of an anomaly while minimizing energy spent for communication and taking measurements. This algorithm is specifically designed for a swarm of underwater robots called “aMussels” to examine a phenomenon referred to as “anoxia” which results in oxygen depletion in the lagoon of Venice. We present the algorithm, conduct simulations and robotic experiments to examine the performance of the algorithm with respect to early detection of anoxia while minimizing energy consumption.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An artificial life approach to studying niche differentiation in soundscape ecology","authors":"D. Kadish, S. Risi, Laura Beloff","doi":"10.1162/isal_a_00140","DOIUrl":"https://doi.org/10.1162/isal_a_00140","url":null,"abstract":"Artificial life simulations are an important tool in the study of ecological phenomena that can be difficult to examine directly in natural environments. Recent work has established the soundscape as an ecologically important resource and it has been proposed that the differentiation of animal vocalizations within a soundscape is driven by the imperative of intraspecies communication. The experiments in this paper test that hypothesis in a simulated soundscape in order to verify the feasibility of intraspecies communication as a driver of acoustic niche differentiation. The impact of intraspecies communication is found to be a significant factor in the division of a soundscape’s frequency spectrum when compared to simulations where the need to identify signals from conspecifics does not drive the evolution of signalling. The method of simulating the effects of interspecies interactions on the soundscape is positioned as a tool for developing artificial life agents that can inhabit and interact with physical ecosystems and soundscapes.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123457982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Complex Systems and Artificial Life: A Decade’s Overview","authors":"Thomas Mcatee, Claudia Szabo","doi":"10.1162/isal_a_00172","DOIUrl":"https://doi.org/10.1162/isal_a_00172","url":null,"abstract":"Artificial Life models and algorithms are informed by natural and biological processes and phenomena. Artificial Life finds particular use in simulating large, complex systems such as large scale ecosystems or social networks, where the interaction between system entities may give rise to emergent behaviours. Despite the increasing popularity and ubiquitous nature of complex systems, the extent of which artificial life approaches are considered in complex systems modelling and their application across complex systems domains is still unclear. To better understand the overlap between artificial life and complex systems, we conducted a systematic literature review of last decade’s artificial life research that had a complex system focus. We performed an automated search of all relevant databases and identified 538 initial papers, with 194 in the candidate set, resulting in 115 primary studies. Our results show that the three most frequent application domains are simulation, followed by social modelling, and biological modelling. We find a plethora of paradigms that can be broadly classified into three main categories, namely, biological, social, and hybrid. We identify the artificial life paradigms that are used to generate the most common complex systems properties as well as a number of research challenges that are critical for the growth of both artificial life and complex systems modelling.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115192840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Droplet based synthetic biology: chemotaxis and interface with biology","authors":"Silvia Holler, M. Hanczyc","doi":"10.1162/isal_a_00234","DOIUrl":"https://doi.org/10.1162/isal_a_00234","url":null,"abstract":"Liquid droplets possess some life-like behaviors and have been the subject of artificial life studies. Life-like behaviors such as fission, fusion and movement can be artificially recreated exploiting highly simplified chemical systems. Recently we showed that droplet-based chemotactic systems can be interfaced with biological systems (1). We developed a chemotactic droplet able to move light cargos such as hydrogel alginate capsules embedded with living cells as a transporter. We transported efficiently and in a sterile way a few types of bacteria and yeast, and we are now modifying our protocols to transport efficiently human cell lines. We recently discovered that some eukaryotic cell lines release surfactants when placed in our artificial transport system, thereby reinforcing the interface between the artificial and living systems. This is an example of not only how the interface between artificial life and biological life could be designed but how the one system can augment the other. In this case the living system produces the surfactants that the droplet needs for cargo transport and the artificial system provides the transport for the otherwise sessile mammalian cells.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115353619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Probabilistic Program Neurogenesis","authors":"Charles E. Martin, Praveen K. Pilly","doi":"10.1162/isal_a_00199","DOIUrl":"https://doi.org/10.1162/isal_a_00199","url":null,"abstract":"We present a new method for addressing the challenge of continual learning wherein an agent must adapt to new tasks while maintaining high performance on previously learned tasks. To accomplish this, an agent must identify previously acquired information that generalizes to the new task while also adapting its internal model to learn information that is specific to the new task. Our approach is based on neurogenesis, which involves adding new neurons to a previously trained neural network in an intelligent way. To our knowledge, we are the first to leverage probabilistic programming within the framework of evolutionary computation to optimize the growth of neural networks for continual learning. Through a series of experiments, we show that our approach is able to consistently find better performing solutions than genetic algorithms and it is able to do so faster.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward the Self-Organisation of Emergency Response Teams Based on Morphogenetic Network Growth","authors":"Nicolas Toussaint, Emma Norling, R. Doursat","doi":"10.1162/isal_a_00177","DOIUrl":"https://doi.org/10.1162/isal_a_00177","url":null,"abstract":"Focusing on the challenge of fostering the self-assembly of socio-technical networks, we present the application of Morphogenetic Engineering principles in this domain to a 2D spatial case study involving a team of first responders. Our model and simulation illustrate how members of a rescue team could be guided via hand-held devices toward better coordination and positioning at appropriate locations, based on peer-to-peer communication and local landmarks in the environment (such as incidents or exits), without the need for a centralised control centre. Using Raspberry Pi devices, we illustrate this scenario in various situations that require quick decision-making to control and manage. Our work suggests the possibility of novel forms of bottom-up self-organisation among groups of users and machines, in contrast to top-down imposed hierarchies and policies.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128771411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of ambient noise in the evolution of robust mental representations in cognitive systems","authors":"Douglas Kirkpatrick, A. Hintze","doi":"10.1162/isal_a_00198","DOIUrl":"https://doi.org/10.1162/isal_a_00198","url":null,"abstract":"Natural environments are full of ambient noise; nevertheless, natural cognitive systems deal greatly with uncertainty but also have ways to suppress or ignore noise unrelated to the task at hand. For most intelligent tasks, experiences and observations have to be committed to memory and these representations of reality inform future decisions. We know that deep learned artificial neural networks (ANNs) often struggle with the formation of representations. This struggle may be due to the ANN’s fully interconnected, layered architecture. This forces information to be propagated over the entire system, which is different from natural brains that instead have sparsely distributed representations. Here we show how ambient noise causes neural substrates such as recurrent ANNs and long short-term memory neural networks to evolve more representations in order to function in these noisy environments, which also greatly improves their functionality. However, these systems also tend to further smear their representations over their internal states making them more vulnerable to internal noise. We also show that Markov Brains (MBs) are mostly unaffected by ambient noise, and their representations remain sparsely distributed (i.e. not smeared). This suggests that ambient noise helps to increase the amount of representations formed in neural networks, but also requires us to find additional solutions to prevent smearing of said representations.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128180646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Expected Number and Distribution of Equilibria in Multi-player Evolutionary Games","authors":"M. H. Duong, H. Anh","doi":"10.1162/isal_a_00153","DOIUrl":"https://doi.org/10.1162/isal_a_00153","url":null,"abstract":"Evolutionary game theory (EGT) has become a powerful mathematical framework for the modelling and analysis of complex biological/economical systems whenever there is frequency dependent selection – the fitness of an individual does not only depend on its strategy, also on the composition of the population in relation with (multiple) other biological in analysis properties of equilibrium in equilibrium the composition of strategy frequencies all the strategies have the average fitness. In random the randomness of the payoff essential to study sta-tistical properties of equilibria. the distribution of internal equilibria in random evolutionary games","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Self-optimization in a Hopfield neural network based on the C. elegans connectome","authors":"Alejandro Morales, T. Froese","doi":"10.1162/isal_a_00200","DOIUrl":"https://doi.org/10.1162/isal_a_00200","url":null,"abstract":"It has recently been demonstrated that a Hopfield neural network that learns its own attractor configurations, for instance by repeatedly resetting the network to an arbitrary state and applying Hebbian learning after convergence, is able to form an associative memory of its attractors and thereby facilitate future convergences on better attractors. This process of structural self-optimization has so far only been demonstrated on relatively small artificial neural networks with random or highly regular and constrained topologies, and it remains an open question to what extent it can be generalized to more biologically realistic topologies. In this work, we therefore test this process by running it on the connectome of the widely studied nematode worm, C. elegans, the only living being whose neural system has been mapped in its entirety. Our results demonstrate, for the first time, that the self-optimization process can be generalized to bigger and biologically plausible networks. We conclude by speculating that the reset-convergence mechanism could find a biological equivalent in the sleep-wake cycle in C. elegans.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115669886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quentin Carde, Marco Foley, C. Knibbe, David P. Parsons, Jonathan Rouzaud-Cornabas, G. Beslon
{"title":"How to reduce a genome? ALife as a tool to teach the scientific method to school pupils","authors":"Quentin Carde, Marco Foley, C. Knibbe, David P. Parsons, Jonathan Rouzaud-Cornabas, G. Beslon","doi":"10.1162/isal_a_00211","DOIUrl":"https://doi.org/10.1162/isal_a_00211","url":null,"abstract":"When Artificial Life approaches are used with school pupils, it is generally to help them learn about the dynamics of living systems and/or their evolution. Here, we propose to use it to teach the scientific and experimental method, rather than biology. We experimented this alternative pedagogical usage during the 5 days internship of a young schoolboy – Quentin – with astonishing results. Indeed, not only Quentin easily grasped the principles of science and experiments but meanwhile he also collected very interesting results that shed a new light on the evolution of genome size and, more precisely, on genome streamlining. This article summarizes this success story and analyzes its results on both educational and scientific perspectives.","PeriodicalId":268637,"journal":{"name":"Artificial Life Conference Proceedings","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116036667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}