This paper proposes a checking method based on mutual instances and discusses three key problems in the method： how to deal with mistakes in the mutual instances and how to deal with too many or too few mutual instan...This paper proposes a checking method based on mutual instances and discusses three key problems in the method： how to deal with mistakes in the mutual instances and how to deal with too many or too few mutual instances. It provides the checking based on the weighted mutual instances considering fault tolerance, gives a way to partition the large-scale mutual instances, and proposes a process greatly reducing the manual annotation work to get more mutual instances. Intension annotation that improves the checking method is also discussed. The method is practical and effective to check subsumption relations between concept queries in different ontologies based on mutual instances.展开更多
This paper critically examines the penetration of artificial intelligence(AI)in China’s fashion supply chains through the dimensions of culture,labor,and ethics.It argues that AI integration is not merely technical b...This paper critically examines the penetration of artificial intelligence(AI)in China’s fashion supply chains through the dimensions of culture,labor,and ethics.It argues that AI integration is not merely technical but a socio-technical process reshaping capitallabor relations.Culturally,AI redefines“Made in China”from cheap labor to algorithm-driven intelligent production,aligning with national upgrading narratives.At the factory level,AI-enabled“small-order,quick-response”models,typified by ultra-fast fashion,create a new“Digital Taylorism”that digitizes market pressure,intensifies labor,and extends working hours.Yet workers adapt and resist through daily strategies,revealing agency within constraint.Ethically,brands employ AI-driven transparency discourses as“performative ethics,”masking structural contradictions and labor rights violations.The study concludes that ethical reflection must move beyond corporate-led initiatives,scrutinize algorithmic power in production,and advocate co-governance frameworks with worker representation in technology design and oversight.展开更多
The Multipurpose Enhanced Cognitive Architecture(MECA)is a cognitive framework designed to model complex,human-like processes across multiple domains.Originally focusing on implementing a Dual Process Theory approach ...The Multipurpose Enhanced Cognitive Architecture(MECA)is a cognitive framework designed to model complex,human-like processes across multiple domains.Originally focusing on implementing a Dual Process Theory approach and integrating a machine consciousness mechanism based on Global Workspace Theory,MECA has been updated to integrate a dual-layer subsumption mechanism,enabling both reactive and deliberative behaviors,dynamic goal setting and a visual-spatial memory subsystem,enhancing MECA’s capacity for real-world interaction and adaptive behavior.Also,with the introduction of the new computational ideas’knowledge representation scheme,MECA proposes to organize knowledge dynamically to handle context-sensitive reasoning and flexible categorization.MECA’s implementation relies on the Cognitive Systems Toolkit(CST),facilitating its integration with cutting-edge technologies.MECA and CST are being continuously developed and updated,aligned,and open to incorporate the latest AI artifacts and methodologies.This approach ensures the delivery of organized,monitorable,auditable,and controllable AI solutions,significantly reducing reliance on“black box”cognitive processes while enhancing transparency and accountability in AI-driven systems.These updates reinforce MECA’s potential as a robust architecture for developing autonomous,adaptable,and context-aware AI systems capable of real-world interaction and adaptive learning.展开更多
This paper discusses and compares some common architectures used inautonomous mobile robotics. Then it describes a behavior-based autonomous mobile robot that wasimplemented successfully in the Robotics Lab of the Dep...This paper discusses and compares some common architectures used inautonomous mobile robotics. Then it describes a behavior-based autonomous mobile robot that wasimplemented successfully in the Robotics Lab of the Department of Precision Mechanical Engineering.Fuzzy controller was used to implement the emergency behavior, the behaviors arbitration wasimplemented using the subsumption architecture. In an unknown dynamic indoor environment, the robotachieved real-time obstacle avoidance properties that are cruel for mobile robotics.展开更多
Cyber-physical systems(CPSs)are distributed assemblages of computing,communicating,and physical components that sense their environment,algorithmically assess the incoming information,and affect their physical environ...Cyber-physical systems(CPSs)are distributed assemblages of computing,communicating,and physical components that sense their environment,algorithmically assess the incoming information,and affect their physical environment.Thus,they share a common structure with other complex adaptive systems,and therefore share both the possible benefits and the probable harmful effects of emergent phenomena.Emergence is an often unexpected pattern that arises from the interactions among the individual system components and the environment.In this paper we focus on three major problems concerning emergence in the context of CPSs:how to successfully exploit emergence,how to avoid its detrimental effects in a single CPS,and how to avoid harmful emergence that arises due to unexpected interaction among several independently developed CPSs that are operating in the same environment.We review the state of the research with regard to these problems and outline several approaches that could be used to address them.展开更多
基金Supported by the National Natural Sciences Foundation of China(60373066 ,60425206 ,90412003) , National Grand Fundamental Research 973 Pro-gramof China(2002CB312000) , National Research Foundation for the Doctoral Pro-gramof Higher Education of China (20020286004)
文摘This paper proposes a checking method based on mutual instances and discusses three key problems in the method： how to deal with mistakes in the mutual instances and how to deal with too many or too few mutual instances. It provides the checking based on the weighted mutual instances considering fault tolerance, gives a way to partition the large-scale mutual instances, and proposes a process greatly reducing the manual annotation work to get more mutual instances. Intension annotation that improves the checking method is also discussed. The method is practical and effective to check subsumption relations between concept queries in different ontologies based on mutual instances.
文摘This paper critically examines the penetration of artificial intelligence(AI)in China’s fashion supply chains through the dimensions of culture,labor,and ethics.It argues that AI integration is not merely technical but a socio-technical process reshaping capitallabor relations.Culturally,AI redefines“Made in China”from cheap labor to algorithm-driven intelligent production,aligning with national upgrading narratives.At the factory level,AI-enabled“small-order,quick-response”models,typified by ultra-fast fashion,create a new“Digital Taylorism”that digitizes market pressure,intensifies labor,and extends working hours.Yet workers adapt and resist through daily strategies,revealing agency within constraint.Ethically,brands employ AI-driven transparency discourses as“performative ethics,”masking structural contradictions and labor rights violations.The study concludes that ethical reflection must move beyond corporate-led initiatives,scrutinize algorithmic power in production,and advocate co-governance frameworks with worker representation in technology design and oversight.
基金Supported by the Sao Paulo Research Foundation(FAPESP),CPE SMARTNESS(2021/00199-8)and CEPID/BRAINN(2013/07559-3).
文摘The Multipurpose Enhanced Cognitive Architecture(MECA)is a cognitive framework designed to model complex,human-like processes across multiple domains.Originally focusing on implementing a Dual Process Theory approach and integrating a machine consciousness mechanism based on Global Workspace Theory,MECA has been updated to integrate a dual-layer subsumption mechanism,enabling both reactive and deliberative behaviors,dynamic goal setting and a visual-spatial memory subsystem,enhancing MECA’s capacity for real-world interaction and adaptive behavior.Also,with the introduction of the new computational ideas’knowledge representation scheme,MECA proposes to organize knowledge dynamically to handle context-sensitive reasoning and flexible categorization.MECA’s implementation relies on the Cognitive Systems Toolkit(CST),facilitating its integration with cutting-edge technologies.MECA and CST are being continuously developed and updated,aligned,and open to incorporate the latest AI artifacts and methodologies.This approach ensures the delivery of organized,monitorable,auditable,and controllable AI solutions,significantly reducing reliance on“black box”cognitive processes while enhancing transparency and accountability in AI-driven systems.These updates reinforce MECA’s potential as a robust architecture for developing autonomous,adaptable,and context-aware AI systems capable of real-world interaction and adaptive learning.
文摘This paper discusses and compares some common architectures used inautonomous mobile robotics. Then it describes a behavior-based autonomous mobile robot that wasimplemented successfully in the Robotics Lab of the Department of Precision Mechanical Engineering.Fuzzy controller was used to implement the emergency behavior, the behaviors arbitration wasimplemented using the subsumption architecture. In an unknown dynamic indoor environment, the robotachieved real-time obstacle avoidance properties that are cruel for mobile robotics.
基金the Capacity Development Fund of Southwest University,China(No.SWU116007)the National Natural Science Foundation of China(Nos.61732019,61672435,and 61811530327)。
文摘Cyber-physical systems(CPSs)are distributed assemblages of computing,communicating,and physical components that sense their environment,algorithmically assess the incoming information,and affect their physical environment.Thus,they share a common structure with other complex adaptive systems,and therefore share both the possible benefits and the probable harmful effects of emergent phenomena.Emergence is an often unexpected pattern that arises from the interactions among the individual system components and the environment.In this paper we focus on three major problems concerning emergence in the context of CPSs:how to successfully exploit emergence,how to avoid its detrimental effects in a single CPS,and how to avoid harmful emergence that arises due to unexpected interaction among several independently developed CPSs that are operating in the same environment.We review the state of the research with regard to these problems and outline several approaches that could be used to address them.
