1,434 research outputs found

    Artificial cognitive control system based on the shared circuits model of sociocognitive capacities. A first approach

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    sharedcircuitmodels is presented in this work. The sharedcircuitsmodelapproach of sociocognitivecapacities recently proposed by Hurley in The sharedcircuitsmodel (SCM): how control, mirroring, and simulation can enable imitation, deliberation, and mindreading. Behavioral and Brain Sciences 31(1) (2008) 1–22 is enriched and improved in this work. A five-layer computational architecture for designing artificialcognitivecontrolsystems is proposed on the basis of a modified sharedcircuitsmodel for emulating sociocognitive experiences such as imitation, deliberation, and mindreading. In order to show the enormous potential of this approach, a simplified implementation is applied to a case study. An artificialcognitivecontrolsystem is applied for controlling force in a manufacturing process that demonstrates the suitability of the suggested approac

    Autonomy in the real real-world: A behaviour based view of autonomous systems control in an industrial product inspection system

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    The thesis presented in this dissertation appears in two sequential parts that arose from an exploration of the use of Behaviour Based Artificial Intelligence (BBAI) techniques in a domain outside that of robotics, where BBAI is most frequently used. The work details a real-world physical implementation of the control and interactions of an industrial product inspection system from a BBAI perspective. It concentrates particularly on the control of a number of active laser scanning sensor systems (each a subsystem of a larger main inspection system), using a subsumption architecture. This industrial implementation is in itself a new direction for BBAI control and an important aspect of this thesis. However, the work has also led on to the development of a number of key ideas which contribute to the field of BBAI in general. The second part of the thesis concerns the nature of physical and temporal constraints on a distributed control system and the desirability of utilising mechanisms to provide continuous, low-level learning and adaptation of domain knowledge on a sub-behavioural basis. Techniques used include artificial neural networks and hill-climbing state-space search algorithms. Discussion is supported with examples from experiments with the laser scanning inspection system. Encouraging results suggest that concerted design effort at this low level of activity will benefit the whole system in terms of behavioural robustness and reliability. Relevant aspects of the design process that should be of value in similar real-world projects are identified and emphasised. These issues are particularly important in providing a firm foundation for artificial intelligence based control systems

    Agents for educational games and simulations

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    This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications

    Looking at the management sciences through the lens of autopoietic theory

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    The broad aim of this research has been to employ the various propositions of Humberto Maturana, as derived from his and Francisco Varela's central concept 'Autopoiesis', as a lens or frame through which to critically reflect on both Management Science and major traditions within it. Such reflection has been carried out with both a 'critical' and a 'developmental eye'. From a critical standpoint the research identifies gaps in existing understandings, and suggests ways in which these may be plugged. Used in this mode, the research shows that Autopoietic Theory is a body of knowledge that management scientists, especially inexperienced ones, can turn to as a means of enriching and/or enhancing their practice in distinctive ways, or allowing them to better prepare for it. Used from a developmental standpoint, the research shows how Maturana's epistemological propositions invoke a particular kind of critically reflective Management Science practice, and, how Autopoietic Theory more generally, can stretch the limits of existing practice. In developing these lines of argumentation the main contribution of the work is to remind members of the various Management Science communities that theirs is an activity that is carried out by real human beings first and by impartial scientists second; moreover, that Management Science is an activity that takes place in human, social and organisational contexts. Acknowledgement of this has far reaching ramifications. In that regard, the main contribution of the research can be taken to be an argument in favour of repositioning 'humanity', in all its various facets, much more centrally within the discipline than has been the case hitherto

    A framework for a multi-agent planning support system : principles and illustrations

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