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Enkinaesthesia: the fundamental challenge for machine consciousness 动觉:机器意识的基本挑战
Pub Date : 2011-06-01 DOI: 10.1142/S1793843011000650
S. Stuart
In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent's intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, and then the balance and counter-balance, the attunement and co-ordination of whole-body interaction through reciprocal adaptation.
在这篇短文中,我将介绍一个想法,我认为,这对机器意识社区提出了一个根本性的额外挑战。这个观点将围绕现象学,感质和现象性的问题进一步带入了主体间性的领域,但有一个转折,这个转折是这样的:一个主体的主体间性体验是被深深感受到的,必然是共同情感的;这是动觉,只有通过动觉意识,我们才能建立起情感的包容,这种包容首先使扰动,然后是平衡和反平衡,通过相互适应来调节和协调全身的相互作用。
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引用次数: 8
A ROLE FOR CONSCIOUSNESS IN ACTION SELECTION 意识在行动选择中的作用
Pub Date : 2011-04-01 DOI: 10.1142/S1793843012400276
J. Bryson
This article argues that conscious attention exists not so much for selecting an immediate action as for using the current task to focus specialized learning for the action-selection mechanism(s) and predictive models on tasks and environmental contingencies likely to affect the conscious agent. It is perfectly possible to build this sort of a system into machine intelligence, but it would not be strictly necessary unless the intelligence needs to learn and is resource-bounded with respect to the rate of learning versus the rate of relevant environmental change. Support for this theory is drawn from scientific research and AI simulations. Consequences are discussed with respect to self-consciousness and ethical obligations to and for AI.
这篇文章认为,有意识的注意与其说存在于选择一个直接的行动,不如说是存在于利用当前任务来集中专门学习行动选择机制和预测模型,这些模型可能会影响有意识的主体。完全有可能将这种系统构建为机器智能,但除非智能需要学习,并且在学习速度与相关环境变化速度方面资源有限,否则这并不是绝对必要的。这一理论得到了科学研究和人工智能模拟的支持。讨论了关于人工智能的自我意识和道德义务的后果。
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引用次数: 21
THE COGNITIVE DEVELOPMENT OF MACHINE CONSCIOUSNESS IMPLEMENTATIONS 机器意识实现的认知发展
Pub Date : 2010-12-01 DOI: 10.1142/S179384301000045X
Raúl Arrabales, Agapito Ledezma, A. Sanchis
The progress in the machine consciousness research field has to be assessed in terms of the features demonstrated by the new models and implementations currently being designed. In this paper, we focus on the functional aspects of consciousness and propose the application of a revision of ConsScale — a biologically inspired scale for measuring cognitive development in artificial agents — in order to assess the cognitive capabilities of machine consciousness implementations. We argue that the progress in the implementation of consciousness in artificial agents can be assessed by looking at how key cognitive abilities associated to consciousness are integrated within artificial systems. Specifically, we characterize ConsScale as a partially ordered set and propose a particular dependency hierarchy for cognitive skills. Associated to that hierarchy a graphical representation of the cognitive profile of an artificial agent is presented as a helpful analytic tool. The proposed evaluation schema is discussed and applied to a number of significant machine consciousness models and implementations. Finally, the possibility of generating qualia and phenomenological states in machines is discussed in the context of the proposed analysis.
机器意识研究领域的进展必须根据目前正在设计的新模型和实现所展示的特征来评估。在本文中,我们专注于意识的功能方面,并建议应用conscscale的修订版,以评估机器意识实现的认知能力。conscscale是一种测量人工智能体认知发展的生物学启发量表。我们认为,在人工智能体中实现意识的进展可以通过观察与意识相关的关键认知能力如何整合到人工系统中来评估。具体来说,我们将conscale描述为一个部分有序的集合,并提出了一个特定的认知技能依赖层次。与该层次结构相关联的是人工智能体的认知概况的图形表示,作为一种有用的分析工具。讨论了所提出的评估模式,并将其应用于许多重要的机器意识模型和实现。最后,在提出的分析的背景下,讨论了在机器中产生质态和现象学态的可能性。
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引用次数: 6
THE B-I-C-A OF BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 生物学启发的认知架构的b-i-c-a
Pub Date : 2010-12-01 DOI: 10.1142/S1793843010000552
Andrea Stocco, C. Lebiere, A. Samsonovich
Recent years have seen a gradual convergence of seemingly distant research fields over a single goal: understanding and replicating biological intelligence in artifacts. This work presents a general overview on the origin, the state-of-the-art, scientific challenges and the future of Biologically Inspired Cognitive Architecture (BICA) research. Our perspective decomposes the field into the four principal semantic components associated with the BICA challenge that together call for an integration of efforts of researchers across disciplines. Areas and directions of study where new integrated efforts will be primarily needed are summarized.
近年来,看似遥远的研究领域逐渐趋同于一个目标:在人工制品中理解和复制生物智能。这项工作概述了生物启发认知建筑(BICA)研究的起源、最新技术、科学挑战和未来。我们的观点将该领域分解为与BICA挑战相关的四个主要语义组件,这些组件共同要求跨学科研究人员的努力整合。总结了主要需要新的综合努力的研究领域和方向。
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引用次数: 8
EMOTIONS AND EMPATHY: A BRIDGE BETWEEN NATURE AND SOCIETY? 情感和同理心:连接自然与社会的桥梁?
Pub Date : 2010-12-01 DOI: 10.1142/S1793843010000539
R. Ventura
For over a decade neuroscience has uncovered that appropriate decision-making in daily life decisions results from a strong interplay between cognition and covert biases produced by emotional processes. This interplay is particularly important in social contexts: lesions in the pathways supporting these processes provoke serious impairments on social behavior. One important mechanism in social contexts is empathy, fundamental for appropriate social behavior. This paper presents arguments supporting this connection between cognition and emotion, in individual as well as in social contexts. The central claim of this paper is that biologically inspired cognitive architectures ought to include these mechanisms. A taxonomy of computational models addressing emotions is presented, together with a brief survey of the research published in this area. The Prisoner Dilemma game is used as a case study exposing the trade-off between individual rationality and cooperative behavior. Experiments using a simple implementation of empathy and emotion expression, employing an Iterated Prisoner Dilemma setup, illustrate the emergence of a cooperative behavior mutually beneficial for both players.
十多年来,神经科学已经发现,日常生活中的适当决策是认知和情绪过程产生的隐性偏见之间强烈相互作用的结果。这种相互作用在社会环境中尤为重要:支持这些过程的通路的损害会引起社会行为的严重损害。社会环境中的一个重要机制是移情,它是适当社会行为的基础。本文提出了在个人和社会背景下支持认知和情感之间联系的论点。本文的核心主张是,受生物学启发的认知架构应该包括这些机制。介绍了处理情绪的计算模型的分类,以及在该领域发表的研究的简要调查。本文以囚徒困境博弈为例,揭示了个体理性与合作行为之间的权衡关系。实验采用了同理心和情感表达的简单实现,采用了迭代囚徒困境设置,说明了合作行为对双方都有利的出现。
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引用次数: 5
A PARTIAL IMPLEMENTATION OF THE BICA COGNITIVE DECATHLON USING THE PSYCHOLOGY EXPERIMENT BUILDING LANGUAGE (PEBL) 运用心理学实验构建语言(pebl)部分实现bica认知十项全能
Pub Date : 2010-12-01 DOI: 10.1142/S1793843010000497
Shane T. Mueller
The Cognitive Decathlon is a proposed set of tasks that can be tested on both human and artificially intelligent agents, and which constitutes a modern specification for the Turing Test. In this paper, a partial implementation of the Cognitive Decathlon is described using the Psychology Experiment Building Language (PEBL). The tasks focus not simply on generic human abilities, but on critical skills that highlight aspects of human performance that are at odds with common artificial intelligence approaches. The differences between human and algorithmic behavior in such tasks can reveal properties of the human cognitive architecture, and production of similar behavior by artificial systems can help constrain and validate biologically-inspired systems.
认知十项全能是一组可以在人类和人工智能代理上测试的任务,它构成了图灵测试的现代规范。本文用心理学实验构建语言(PEBL)描述了认知十项全能的部分实现。这些任务不仅关注人类的一般能力,还关注人类表现中与常见人工智能方法不一致的关键技能。在这些任务中,人类和算法行为之间的差异可以揭示人类认知架构的特性,而人工系统产生的类似行为可以帮助约束和验证生物启发的系统。
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引用次数: 45
Mental pain in the mind of a robot 机器人头脑中的精神痛苦
Pub Date : 2010-12-01 DOI: 10.1142/S1793843010000527
J. Takeno, Soichiro Akimoto
Humans normally feel physical and mental pain. In this paper, we refer to physical pain as "pain in the body" and mental pain as "pain in the mind". We took an interest in the mechanism that makes a robot feel such pain in its mind and act appropriately to the sensation of pain. We developed a neural network program called MoNAD that can explain almost all of the phenomena of human consciousness. We noted that the program outputed stable information on what had been learned but became unstable when unknown information was inputed or a system error occurred. We thought that we could create "pain in the mind" of robot by making use of this phenomenon. This paper proposes a demonstration of "pain in the mind" in robot. We expect that this research will also lead to a deeper understanding of humans.
人类通常会感到身体和精神上的痛苦。在本文中,我们将身体上的疼痛称为“身体上的疼痛”,将精神上的疼痛称为“心灵上的疼痛”。我们对使机器人在头脑中感受到这种疼痛并对疼痛的感觉做出适当行动的机制很感兴趣。我们开发了一个叫做MoNAD的神经网络程序,它可以解释几乎所有的人类意识现象。我们注意到,程序输出的是关于所学内容的稳定信息,但当输入未知信息或发生系统错误时,它就会变得不稳定。我们认为我们可以利用这一现象来创造机器人的“心灵之痛”。本文提出了一个机器人“心灵之痛”的演示。我们期望这项研究也将导致对人类的更深入的了解。
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引用次数: 3
FROM MODELING TO IMPLEMENTING THE PERCEPTION LOOP IN SELF-CONSCIOUS SYSTEMS 从建模到在自我意识系统中实现感知回路
Pub Date : 2010-12-01 DOI: 10.1142/S1793843010000503
V. Seidita, M. Cossentino
Engineering self-conscious robotic systems is a challenging issue because of the intrinsic complexity of such systems; a self-conscious robot has to acquire knowledge, to understand its world and to autonomously interact with its environment. In this paper, the externalist point of view is used for developing a complete process for the design and implementation of a conscious robotic system that is able to interact with a dynamic environment in a human-like fashion without possessing detailed knowledge about the environment and pre-programmed tasks and algorithms. The paper mainly focuses on the configuration part of the whole process that make the robot able to decide and to learn from experiences.
工程自我意识机器人系统是一个具有挑战性的问题,因为这类系统的内在复杂性;一个有自我意识的机器人必须获取知识,了解它的世界,并自主地与它的环境互动。在本文中,外部主义者的观点被用于开发一个完整的过程,用于设计和实现一个有意识的机器人系统,该系统能够以类似人类的方式与动态环境进行交互,而无需掌握有关环境和预编程任务和算法的详细知识。本文主要研究了整个过程中的配置部分,使机器人具有决策能力和经验学习能力。
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引用次数: 6
THE WELL-TESTED YOUNG SCIENTIST 久经考验的年轻科学家
Pub Date : 2010-06-01 DOI: 10.1142/S1793843010000278
Colin G. Hales
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引用次数: 1
SLOMAN AND H-CONSCIOUSNESS 斯洛曼和h -意识
Pub Date : 2010-06-01 DOI: 10.1142/S1793843010000242
P. Boltuc
Sloman criticizes all existing attempts to define machine consciousness for being overly one-sided. He argues that such definition is not only unattainable but also unnecessary. The critique is well taken in part; yet, whatever his intended aims, by not acknowledging the non-reductive aspects of consciousness, Sloman, in fact, sides with the reductivist view.
斯洛曼批评所有现有的定义机器意识的尝试都过于片面。他认为这样的定义不仅无法实现,而且也没有必要。这一批评在一定程度上得到了很好的接受;然而,不管他的意图是什么,由于不承认意识的非还原性,斯洛曼实际上站在了还原论的立场上。
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International Journal of Machine Consciousness
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