2009 IEEE Symposium on Artificial Life最新文献

The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot 机器人模拟脉冲神经控制器中侧向抑制在感觉加工中的作用

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937710

David Bowes, R. Adams, Lola Cañamero, V. Steuber, N. Davey

引用次数: 4

Evolution of bilateral symmetry in agents controlled by spiking neural networks 脉冲神经网络控制下智能体双侧对称性的演化

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937702

Nicolas Oros, V. Steuber, N. Davey, Lola Cañamero, R. Adams

引用次数: 12

An artificial t cell immune system for predicting MHC-II binding peptides 预测MHC-II结合肽的人工t细胞免疫系统

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937708

C. Henneges, S. Huster, A. Zell

引用次数: 1

Developing preferential attention to a speaker: A robot learning to recognise its carer 培养对说话者的优先关注:一个正在学习识别照顾者的机器人

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937697

J. Murray, L. Cañamero

引用次数: 1

Emergence and analysis of complex food webs in an individual-based artificial ecology 基于个体的人工生态中复杂食物网的出现与分析

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937704

Walter de Back, G. Kampis

引用次数: 0

A constructivist approach to robot language learning via simulated babbling and holophrase extraction 通过模拟牙牙学语和全息短语提取的机器人语言学习的建构主义方法

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937689

J. Saunders, C. Lyon, F. Förster, Chrystopher L. Nehaniv, K. Dautenhahn

{"title":"A constructivist approach to robot language learning via simulated babbling and holophrase extraction","authors":"J. Saunders, C. Lyon, F. Förster, Chrystopher L. Nehaniv, K. Dautenhahn","doi":"10.1109/ALIFE.2009.4937689","DOIUrl":"https://doi.org/10.1109/ALIFE.2009.4937689","url":null,"abstract":"It is thought that meaning may be grounded in early childhood language learning via the physical and social interaction of the infant with those around him or her, and that the capacity to use words, phrases and their meaning are acquired through shared referential ‘inference’ in pragmatic interactions. In order to create appropriate conditions for language learning by a humanoid robot, it would therefore be necessary to expose the robot to similar physical and social contexts. However in the early stages of language learning it is estimated that a 2-year-old child can be exposed to as many as 7,000 utterances per day in varied contextual situations. In this paper we report on the issues behind and the design of our currently ongoing and forthcoming experiments aimed to allow a robot to carry out language learning in a manner analogous to that in early child development and which effectively ‘short cuts’ holophrase learning. Two approaches are used: (1) simulated babbling through mechanisms which will yield basic word or holophrase structures and (2) a scenario for interaction between a human and the humanoid robot where shared ‘intentional’ referencing and the associations between physical, visual and speech modalities can be experienced by the robot. The output of these experiments, combined to yield word or holophrase structures grounded in the robot's own actions and modalities, would provide scaffolding for further proto-grammatical usage-based learning. This requires interaction with the physical and social environment involving human feedback to bootstrap developing linguistic competencies. These structures would then form the basis for further studies on language acquisition, including the emergence of negation and more complex grammar.","PeriodicalId":148607,"journal":{"name":"2009 IEEE Symposium on Artificial Life","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122725089","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}

引用次数: 12

Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system 动机类型的区别:突发行为与神经、基于模型的强化学习系统

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937696

Elshad Shirinov, Martin Volker Butz

{"title":"Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system","authors":"Elshad Shirinov, Martin Volker Butz","doi":"10.1109/ALIFE.2009.4937696","DOIUrl":"https://doi.org/10.1109/ALIFE.2009.4937696","url":null,"abstract":"In this paper, we analyze the behavior of a simulated mobile robot, which interacts with an initially unknown maze-environment. The robot is controlled by an interactive system that is based on a model building Time Growing Neural Gas (TGNG) algorithm and a homeostatic motivational system, which activates movement preferences and goals within the emergent model structure for behavioral control. We propose to differentiate two types of drives (if not more), which we call location- and characteristics-based drives. We exemplary implement the two types of drives by “hunger” and “fear”, respectively. Several possible methods of combination of the two drives are investigated through simulation, identifying the combination that lead to the most suitable emergent behavior, such as emergent “wall-following” and “hiding”. Moreover, we investigate performance in an ALife-like scenario, in which the robot interacts with several food-dispensers. It is shown that additional behavioral concepts, such as “curiosity” and “inhibition of return”, can maximize the survival chances of the organism, who maintains maximal safety and keeps its belly full. In conclusion, we propose that the concept of motivation needs to be further differentiated to realize autonomous, life-like robots that are able to optimally satisfy multiple, competing types of motivations by emergent, innovative behavioral patterns.","PeriodicalId":148607,"journal":{"name":"2009 IEEE Symposium on Artificial Life","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021572","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}

引用次数: 4

On the properties of artificial development and its use in evolvable hardware 论人工开发的性质及其在可进化硬件中的应用

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937701

Tüze Kuyucu, M. Trefzer, J. Miller, A. Tyrrell

{"title":"On the properties of artificial development and its use in evolvable hardware","authors":"Tüze Kuyucu, M. Trefzer, J. Miller, A. Tyrrell","doi":"10.1109/ALIFE.2009.4937701","DOIUrl":"https://doi.org/10.1109/ALIFE.2009.4937701","url":null,"abstract":"The design of a new biologically inspired artificial developmental system is described in this paper. In general, developmental systems converge slower and are more computationally expensive than direct evolution. However, the performance trends of development indicate that the full benefit of development will arise with larger and more complex problems that exhibit some sort of regularity in their structure: thus, the aim is to evolve larger electronic systems through the modularity allowed by development. The hope is that the proposed artificial developmental system will exhibit adaptivity and fault tolerance in the future. The cell signalling and the system of Gene Regulatory Networks present in biological organisms are modelled in our developmental system, and tailored for tackling real world problems on electronic hardware. For the first time, a Gene Regulatory Network system is successfully shown to develop the complete circuit structure of a desired digital circuit without the help of another mechanism or any problem specific structuring. Experiments are presented that show the modular behaviour of the developmental system, as well as its ability to solve non-modular circuit problems.","PeriodicalId":148607,"journal":{"name":"2009 IEEE Symposium on Artificial Life","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328083","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}

引用次数: 12

Ecological approaches to diversity maintenance in evolutionary algorithms 进化算法中维持多样性的生态学方法

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937703

Sherri Goings, C. Ofria

引用次数: 18

On the value of simple stoichiometry to ALife simulations using EcoSim 简单化学计量学在EcoSim生命模拟中的价值

2009 IEEE Symposium on Artificial Life Pub Date : 2009-05-15 DOI: 10.1109/ALIFE.2009.4937705

Matthew Conforth, Y. Meng

引用次数: 0