Journal of Artificial General Intelligence最新文献_第5页

Cognitive Architectures and Autonomy: A Comparative Review 认知架构与自主性:比较回顾

Journal of Artificial General Intelligence Pub Date : 2012-05-21 DOI: 10.2478/v10229-011-0015-3

K. Thórisson, Helgi Helgasson

{"title":"Cognitive Architectures and Autonomy: A Comparative Review","authors":"K. Thórisson, Helgi Helgasson","doi":"10.2478/v10229-011-0015-3","DOIUrl":"https://doi.org/10.2478/v10229-011-0015-3","url":null,"abstract":"Abstract One of the original goals of artificial intelligence (AI) research was to create machines with very general cognitive capabilities and a relatively high level of autonomy. It has taken the field longer than many had expected to achieve even a fraction of this goal; the community has focused on building specific, targeted cognitive processes in isolation, and as of yet no system exists that integrates a broad range of capabilities or presents a general solution to autonomous acquisition of a large set of skills. Among the reasons for this are the highly limited machine learning and adaptation techniques available, and the inherent complexity of integrating numerous cognitive and learning capabilities in a coherent architecture. In this paper we review selected systems and architectures built expressly to address integrated skills. We highlight principles and features of these systems that seem promising for creating generally intelligent systems with some level of autonomy, and discuss them in the context of the development of future cognitive architectures. Autonomy is a key property for any system to be considered generally intelligent, in our view; we use this concept as an organizing principle for comparing the reviewed systems. Features that remain largely unaddressed in present research, but seem nevertheless necessary for such efforts to succeed, are also discussed.","PeriodicalId":247142,"journal":{"name":"Journal of Artificial General Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128842084","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: 72

Is Logic in the Mind or in the World? Why a Philosophical Question can Affect the Understanding of Intelligence 逻辑是在头脑中还是在世界中?为什么一个哲学问题会影响对智力的理解

Journal of Artificial General Intelligence Pub Date : 2012-05-17 DOI: 10.2478/v10229-011-0014-4

H. Sommer, Lothar Schreiber

引用次数: 2

Model-based Utility Functions 基于模型的实用函数

Journal of Artificial General Intelligence Pub Date : 2011-11-16 DOI: 10.2478/v10229-011-0013-5

B. Hibbard

引用次数: 48

Editorial: Cognitive Architectures, Model Comparison and AGI 社论:认知架构、模型比较和AGI

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0006-4

C. Lebiere, Cleotilde González, Walter Warwick

引用次数: 8

Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction 加速人工智能的发展:为自然世界的相互作用选择一个基准

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0005-5

B. Rohrer

{"title":"Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction","authors":"B. Rohrer","doi":"10.2478/v10229-011-0005-5","DOIUrl":"https://doi.org/10.2478/v10229-011-0005-5","url":null,"abstract":"Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction Measuring progress in the field of Artificial General Intelligence (AGI) can be difficult without commonly accepted methods of evaluation. An AGI benchmark would allow evaluation and comparison of the many computational intelligence algorithms that have been developed. In this paper I propose that a benchmark for natural world interaction would possess seven key characteristics: fitness, breadth, specificity, low cost, simplicity, range, and task focus. I also outline two benchmark examples that meet most of these criteria. In the first, the direction task, a human coach directs a machine to perform a novel task in an unfamiliar environment. The direction task is extremely broad, but may be idealistic. In the second, the AGI battery, AGI candidates are evaluated based on their performance on a collection of more specific tasks. The AGI battery is designed to be appropriate to the capabilities of currently existing systems. Both the direction task and the AGI battery would require further definition before implementing. The paper concludes with a description of a task that might be included in the AGI battery: the search and retrieve task.","PeriodicalId":247142,"journal":{"name":"Journal of Artificial General Intelligence","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125728005","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: 14

Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task 保持简单-动态库存和流量(DSF)任务背景下的模型开发案例研究

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0008-2

M. Halbrügge

{"title":"Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task","authors":"M. Halbrügge","doi":"10.2478/v10229-011-0008-2","DOIUrl":"https://doi.org/10.2478/v10229-011-0008-2","url":null,"abstract":"Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task This paper describes the creation of a cognitive model submitted to the ‘Dynamic Stocks and Flows’ (DSF) modeling challenge. This challenge aims at comparing computational cognitive models for human behavior during an open ended control task. Participants in the modeling competition were provided with a simulation environment and training data for benchmarking their models while the actual specification of the competition task was withheld. To meet this challenge, the cognitive model described here was designed and optimized for generalizability. Only two simple assumptions about human problem solving were used to explain the empirical findings of the training data. In-depth analysis of the data set prior to the development of the model led to the dismissal of correlations or other parametric statistics as goodness-of-fit indicators. A new statistical measurement based on rank orders and sequence matching techniques is being proposed instead. This measurement, when being applied to the human sample, also identifies clusters of subjects that use different strategies for the task. The acceptability of the fits achieved by the model is verified using permutation tests.","PeriodicalId":247142,"journal":{"name":"Journal of Artificial General Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134218808","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

Validating Computational Cognitive Process Models across Multiple Timescales 跨多个时间尺度验证计算认知过程模型

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0012-6

Christopher W. Myers, K. Gluck, G. Gunzelmann, M. Krusmark

引用次数: 7

Testing for Equivalence: A Methodology for Computational Cognitive Modelling 等效性测试:计算认知模型的方法论

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0010-8

T. Stewart, R. West

引用次数: 14

Metacognition and Multiple Strategies in a Cognitive Model of Online Control 网络控制认知模型中的元认知与多重策略

Journal of Artificial General Intelligence Pub Date : 2010-12-01 DOI: 10.2478/v10229-011-0007-3

D. Reitter

{"title":"Metacognition and Multiple Strategies in a Cognitive Model of Online Control","authors":"D. Reitter","doi":"10.2478/v10229-011-0007-3","DOIUrl":"https://doi.org/10.2478/v10229-011-0007-3","url":null,"abstract":"Metacognition and Multiple Strategies in a Cognitive Model of Online Control We present a cognitive model performing the Dynamic Stocks&Flows control task, in which subjects control a system by counteracting a systematically changing external variable. The model uses a metacognitive layer that chooses a task strategy drawn from of two classes of strategies: precise calculation and imprecise estimation. The model, formulated within the ACT-R theory, monitors the success of each strategy continuously using instance-based learning and blended retrieval from declarative memory. The model underspecifies other portions of the task strategies, whose timing was determined as unbiased estimate from empirical data. The model's predictions were evaluated on data collected from novel experimental conditions, which did not inform the model's development and included discontinuous and noisy environmental change functions and a control delay. The model as well as the data show sudden changes in subject error and general learning of control; the model also correctly predicted oscillations of plausible magnitude. With its predictions, the model ranked first among the entries to the 2009 Dynamic Stocks&Flows modeling challenge.","PeriodicalId":247142,"journal":{"name":"Journal of Artificial General Intelligence","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115441784","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: 16

Exploration for Understanding in Cognitive Modeling 认知建模中的理解探索

Journal of Artificial General Intelligence Pub Date : 2010-01-01 DOI: 10.2478/v10229-011-0011-7

K. Gluck, Clayton Stanley, L. Moore, D. Reitter, M. Halbrügge

引用次数: 13