{"title":"Information-Theoretic Approaches to Neural Network Learning","authors":"Mark D. Plumbley","doi":"10.1201/9780367813239-5","DOIUrl":"https://doi.org/10.1201/9780367813239-5","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115723273","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}
Pub Date : 2019-08-20DOI: 10.1201/9780367813239-10
I. Aleksander
{"title":"Neuroconsciousness: a Fundamental Postulate","authors":"I. Aleksander","doi":"10.1201/9780367813239-10","DOIUrl":"https://doi.org/10.1201/9780367813239-10","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133587975","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":"Chaos, Dynamics and Computational Power in Biologically Plausible Neural Networks","authors":"W KentridgeRobert","doi":"10.1201/9780367813239-4","DOIUrl":"https://doi.org/10.1201/9780367813239-4","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123064360","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":"Exploring Different Approaches towards Everyday Commonsense Reasoning","authors":"R. Sun","doi":"10.1201/9780367813239-7","DOIUrl":"https://doi.org/10.1201/9780367813239-7","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"157 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115661665","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}
Pub Date : 2019-08-20DOI: 10.1201/9780367813239-12
N. Sharkey, J. Heemskerk
I got no strings to hold me down to make me fret, or make me frown I had strings but now I am free there are no strings on me.
我没有束缚我的绳子，让我烦恼，或让我皱眉，我有绳子，但现在我自由了，没有绳子在我身上。
{"title":"The Neural Mind and the Robot","authors":"N. Sharkey, J. Heemskerk","doi":"10.1201/9780367813239-12","DOIUrl":"https://doi.org/10.1201/9780367813239-12","url":null,"abstract":"I got no strings to hold me down to make me fret, or make me frown I had strings but now I am free there are no strings on me.","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125998858","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":"Challenges for Neural Computing","authors":"A. Browne","doi":"10.1201/9780367813239-2","DOIUrl":"https://doi.org/10.1201/9780367813239-2","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"710 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123836277","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}
Natural language processing appears on the surface to be a strongly symbolic activity. Words are symbols that stand for objects and concepts in the real world, and they are put together into sentences that obey well-speci ed grammar rules. It is no surprise that for several decades natural language processing research has been dominated by the symbolic approach. Linguists have focused on describing language systems based on versions of the Universal Grammar. Arti cial Intelligence researchers have built large programs where linguistic and world knowledge is expressed in symbolic structures, usually in LISP. Relatively little attention has been paid to various cognitive e ects in language processing. Human language users perform di erently from their linguistic competence, that is, from their knowledge of how to communicate correctly using language. Some linguistic structures (such as deep embeddings) are harder to deal with than others. People make mistakes when they speak, but fortunately it is not that hard to understand language that is ungrammatical or cluttered with errors. Linguistic and symbolic arti cial intelligence theories have little to say about where such e ects come from. Yet if one wants to build machines that would communicate naturally with people, it is important to understand and model cognitive e ects in natural language processing.
{"title":"Natural Language Processing with Subsymbolic Neural Networks","authors":"R. Miikkulainen","doi":"10.1201/9780367813239-8","DOIUrl":"https://doi.org/10.1201/9780367813239-8","url":null,"abstract":"Natural language processing appears on the surface to be a strongly symbolic activity. Words are symbols that stand for objects and concepts in the real world, and they are put together into sentences that obey well-speci ed grammar rules. It is no surprise that for several decades natural language processing research has been dominated by the symbolic approach. Linguists have focused on describing language systems based on versions of the Universal Grammar. Arti cial Intelligence researchers have built large programs where linguistic and world knowledge is expressed in symbolic structures, usually in LISP. Relatively little attention has been paid to various cognitive e ects in language processing. Human language users perform di erently from their linguistic competence, that is, from their knowledge of how to communicate correctly using language. Some linguistic structures (such as deep embeddings) are harder to deal with than others. People make mistakes when they speak, but fortunately it is not that hard to understand language that is ungrammatical or cluttered with errors. Linguistic and symbolic arti cial intelligence theories have little to say about where such e ects come from. Yet if one wants to build machines that would communicate naturally with people, it is important to understand and model cognitive e ects in natural language processing.","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124736372","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}
Pub Date : 1900-01-01DOI: 10.1201/9780367813239-14
T. Scutt, R. Damper
{"title":"Designing a Nervous System for an Adaptive Mobile Robot","authors":"T. Scutt, R. Damper","doi":"10.1201/9780367813239-14","DOIUrl":"https://doi.org/10.1201/9780367813239-14","url":null,"abstract":"","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891535","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":"Representing Structure and Structured Representations in Connectionist Networks","authors":"L. Niklasson, M. Bodén","doi":"10.1201/9780367813239-3","DOIUrl":"https://doi.org/10.1201/9780367813239-3","url":null,"abstract":"Annotation: A. Browne (ed.) Neural Network Perspectives on Cognition and Adaptive Robotics, IOP Press, Bristol, UK.","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783170","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}
Pub Date : 1900-01-01DOI: 10.1201/9780367813239-13
Patrick van der Smagt
The positioning of a robot hand in order to grasp an object is a problem fundamental to robotics. The task we want to perform can be described as follows: given a visual scene the robot arm must reach an indicated point in that visual scene. This marked point indicates the observed object that has to be grasped. In order to accomplish this task, a mapping from the visual scene to the corresponding robot joint values must be available. The task set out in this chapter is to design a self-learning controller that constructs that mapping without knowledge of the geometry of the camera-robot system.
{"title":"Teaching a Robot to See How it Moves","authors":"Patrick van der Smagt","doi":"10.1201/9780367813239-13","DOIUrl":"https://doi.org/10.1201/9780367813239-13","url":null,"abstract":"The positioning of a robot hand in order to grasp an object is a problem fundamental to robotics. The task we want to perform can be described as follows: given a visual scene the robot arm must reach an indicated point in that visual scene. This marked point indicates the observed object that has to be grasped. In order to accomplish this task, a mapping from the visual scene to the corresponding robot joint values must be available. The task set out in this chapter is to design a self-learning controller that constructs that mapping without knowledge of the geometry of the camera-robot system.","PeriodicalId":285190,"journal":{"name":"Neural Network Perspectives on Cognition and Adaptive Robotics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121619666","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}
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