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14th Conference on Certified Programs and Proofs

作者： Zaliva, Vadim Memarian, Kayvan Campbell, Brian Almeida, Ricardo Filardo, Nathaniel Stark, Ian Sewell, Peter Univ Cambridge Cambridge England Univ Edinburgh Edinburgh Midlothian Scotland

ISBN: (纸本)9798400713477

memory safety concerns continue to be a major source of security vulnerabilities. The CHERI architecture, as instantiated in prototype CHERI-RISC-V cores, the Arm Morello system, and Microsoft's CHERIoT embedded core, provides fine-grained memory access control through unforgeable hardware capabilities. The impact of CHERI on spatial memory safety is well understood. This paper systematically examines temporal memory safety within CHERI C - a dialect of the C programming language for CHERI - and proposes a formal approach to defining and ensuring it. In particular: 1) we examine the impact of five existing capability revocation mechanisms on CHERI C semantics and present a specialised object memory model tailored to CHERI C;2) we introduce a new CHERI-specific pointer provenance tracking scheme;and 3) we formally define the security guarantees provided by this memory model, supported by a Coq proof of their correctness, expressed as invariants of the memory state.

关键词： CHERI memory safety temporal safety formal verification memory model pointer provenance C language Coq capability revocation

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A Social Group Chatbot System by Multiple Topics Tracking and Atkinson-Shiffrin memory model Using AI Agents Collaboration

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EXPERT SYSTEMS 2025年第2期42卷

作者： Zhang, Guoshuai Wu, Jiaji Jeon, Gwanggil Wang, Penghui Xidian Univ Sch Elect Engn Xian Peoples R China Incheon Natl Univ Dept Embedded Syst Engn Seoul South Korea

The widespread use of Internet has accelerated the explosive growth of data, which in turn leads to information overload and information confusion. This makes it difficult for us to communicate effectively in social groups, thereby intensifying the demands for emotional companionship. Therefore, we propose a novel social group chatting framework based on Large Language model (LLM) powered multiple autonomous agents collaboration in this article. Specifically, BERTopic is used to extract topics from history chatting content for each social group everyday, and then multiple topics tracking is realised through multi-level association by adaptive time sliding-window mechanism and optimal matching. Furthermore, we use topic tracking architecture and prompts to design and implement an AI Chatbot system with different characters that can conduct natural language conversations with users in online social group. LLM, as the controller and coordinator of the whole AI Chatbot for sub-tasks, allows different AI Agents to autonomously decide whether to participate in current topic, how to generate response, and whether to propose a new topic. Each AI Agent has their own multi-store memory system based on the Atkinson-Shiffrin model. Finally, we construct a verification environment based on online game that is consistent with real society. Subjective and objective evaluation methods were deployed to perform qualitative and quantitative analyses to demonstrate the performance of our AI Chatbot system.

关键词： agents collaboration large language model memory model social group chatbot topics tracking

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Real-time tracking based on weighted compressive tracking and a cognitive memory model

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SIGNAL PROCESSING 2017年 139卷 173-181页

作者： Du, Bo Sun, Yujia Wu, Chen Zhang, Lefei Zhang, Liangpei Wuhan Univ Sch Comp Wuhan Peoples R China Wuhan Univ Int Sch Software Wuhan Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan Peoples R China Wuhan Univ Collaborat Innovat Ctr Geospatial Technol Wuhan Peoples R China

Compressed tracking (CT) is a novel discriminative algorithm, treating the tracking problems as a binary classification between target and background. The method updates the appearance model, and locates the object in a compressed domain. However, CT algorithm can hardly deal with the condition that object suffers from serious occlusion or illumination variation. In this paper, we present a real-time tracking algorithm via combing weighted compressive tracking and a cognitive memory model. When the external environment is continuous and steady, the weighted compressive tracking (WCT) is employed due to its fast speed and high accuracy. Compared with CT treating each candidate window with the same prior probability, WCT imposes weighting factors on the basis of the Euclidean distance to the target window in previous frame. On the other hand, if the environment encounters a sudden change, a database is set to reserve different period tracking objects to locate the best match for the current frame, which is inspired by Atkinson-Shiffrin memory model (ASMM). 14 datasets in CVPR2013 Online Object Tracking Benchmark (OOTB) are used for extensive evaluation. The experimental results proved the superiority of the proposed algorithm with respect to other 5 state-of-the-art algorithms. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Weighted compressive tracking Object tracking memory model model updating

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A Brain-Inspired Self-Organizing Episodic memory model for a memory Assistance Robot

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IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 2022年第2期14卷 617-628页

作者： Yang, Chiao-Yu Gamborino, Edwinn Fu, Li-Chen Chang, Yu-Ling Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei 10617 Taiwan Natl Taiwan Univ Ctr Artificial Intelligence & Adv Robot Taipei 10617 Taiwan Natl Taiwan Univ Dept Psychol Taipei 10617 Taiwan

This article discusses the implementation of a brain-inspired episodic memory model, which provides memory assistance and tackles the modern public issue of memory impairment embedded as an end-to-end system on the robot companion, Pepper. Based on the fusion adaptive resonance theory, the proposed model can observe and memorize the content of daily events in five aspects: 1) people;2) activities;3) times;4) places;and 5) objects. The model is based on the human memory pipeline, containing a working memory and a two-layer long-term memory model, which can effectively merge, cluster, and summarize past memories based on their context and relevance in a self-organizing manner. When providing memory assistance, the robot can analyze a user query and find the best matching memory cluster to generate verbal cues to stimulate recalling of the target event. Moreover, using reinforcement learning, the robot eventually learns the most effective mapping of cue types to event type through social interaction. Experiments show the feasibility of the proposed model, which can handle episodic events with elasticity and stability. Moreover, there is evidence that the robot is able to provide robust memory assistance from knowledge obtained through previous observations, with 99% confidence, intervals in the participants' mean recall percentage of the events increases 19.63% after receiving memory assistance from the robot.

关键词： Robots Computational modeling Mathematical model Brain modeling Subspace constraints Senior citizens Semantics Episodic memory assistance graphical model healthcare robot memory model reinforcement learning

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A TASK-CENTRIC memory model FOR SCALABLE ACCELERATOR ARCHITECTURES

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IEEE MICRO 2010年第1期30卷 29-39页

作者： Kelm, John H. Johnson, Daniel R. Lumetta, Steven S. Patel, Sanjay J. Frank, Matthew I. Univ Illinois Urbana IL 61801 USA

Tthis article presents a memory model for parallel compute accelerators with task-based programming models that uses a software protocol, Working in collaboration with hardware caches, to maintain a coherent, Single address space view of memory without requiring hardware cache coherence the memory model supports visual computing applications, which are becoming an important class of workloads capable of exploiting 1,000-core processors

关键词： accelerator memory model parallel architecture software coherence Parallel architectures Accelerators Computer hardware Cache Coherence address space memory

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Formal verification of a C-like memory model and its uses for verifying program transformations

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JOURNAL OF AUTOMATED REASONING 2008年第1期41卷 1-31页

作者： Leroy, Xavier Blazy, Sandrine INRIA Paris Rocquencourt F-78153 Le Chesnay France ENSIIE F-91025 Evry France

This article presents the formal verification, using the Coq proof assistant, of a memory model for low-level imperative languages such as C and compiler intermediate languages. Beyond giving semantics to pointer-based programs, this model supports reasoning over transformations of such programs. We show how the properties of the memory model are used to prove semantic preservation for three passes of the Compcert verified compiler.

关键词： memory model C program verification compilation compiler correctness the Coq proof assistant

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The Java memory model is fatally flawed

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CONCURRENCY-PRACTICE AND EXPERIENCE 2000年第6期12卷 445-455页

作者： Pugh, W Univ Maryland Dept Comp Sci College Pk MD 20742 USA

The Java memory model described in Chapter 17 of the Java Language Specification gives constraints on how threads interact through memory. This chapter is hard to interpret and poorly understood;it imposes constraints that prohibit common compiler optimizations and are expensive to implement on existing hardware. Most JVMs violate the constraints of the existing Java memory model;conforming to the existing specification would impose significant performance penalties. In addition, programming idioms used by some programmers and used within Sun's Java Development Kit is not guaranteed to be valid according to the existing Java memory model. Furthermore, implementing Java on a shared-memory multiprocessor that implements a weak memory model poses some implementation challenges not previously considered. Copyright (C) 2000 John Wiley & Sons, Ltd.

关键词： Java memory model synchronization threads

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Visual Mental Imagery memory model Based on Weighted Directed Graph

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JOURNAL OF COMPUTERS 2010年第8期5卷 1256-1263页

作者： Wang, Hui Ke, Hongchang Zhao, Hongwei Liang, Kaiyu Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China Changchun Inst Technol Software Vocat Inst Technol Changchun Peoples R China Educ Inst Jilin Prov Dept Math Changchun Peoples R China

Simulation of imagery thinking has important significance for research and development of human intelligent systems. The breakthrough of computer simulation of imagery thinking is the simulation of mental imagery's memory mechanisms. In this study, a visual mental imagery memory model accord with working mechanism of declarative memory has been constructed. The new model has four layers. They are feature layer, hyper column layer, MTL (medial temporal lobe) free neurons layer and imagery concept layer. The design method and function of the model are described in the study. The experiment results demonstrate, the model can extract contour of target effectively and can realize various operation of mental imagery.

关键词： imagery thinking mental imagery weighted directed graph declarative memory memory model mental imagery cognition

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UMM: an operational memory model specification framework with integrated model checking capability

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2005年第5-6期17卷 465-487页

作者： Yang, Y Gopalakrishnan, G Lindstrom, G Univ Utah Sch Comp Salt Lake City UT 84112 USA

Given the complicated nature of modern shared memory systems, it is vital to have a systematic approach to specifying and analyzing memory consistency requirements. In this paper, we present the UMM specification framework, which integrates two key features to support memory model verification: (i) it employs a simple and generic memory abstraction that can capture a large collection of memory models as guarded commands with a uniform notation, and (ii) it provides built-in model checking capability to enable formal reasoning about thread behaviors. Using this framework, memory models can be specified in a parameterized style-designers can simply redefine a few-bypassing rules and visibility ordering rules to obtain an executable specification of another memory model. We formalize several classical memory models, including Sequential Consistency, Coherence, and PRAM, to illustrate the general techniques of applying this framework. We then provide an alternative specification of the Java memory model, based on a proposal from Manson and Pugh, and demonstrate how to analyze Java thread semantics using model checking. We also compare our operational specification style with axiomatic specification styles and explore a mechanism that converts a memory model definition from one style to the other. Copyright (c) 2005 John Wiley & Sons, Ltd.

关键词： memory model operational specification Java thread formal verification

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A New Pattern Associative memory model for Image Recognition Based on Hebb Rules and Dot Product 9

A New Pattern Associative Memory Model for Image Recognition...

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9th International Conference on Graphic and Image Processing (ICGIP)

作者： Gao, Mingyue Deng, Limiao Wang, Yanjiang China Univ Petr Coll Informat & Control Engn Qingdao 266580 Peoples R China Qingdao Agr Univ Coll Sci & Informat Qingdao 266109 Peoples R China

ISBN: (数字)9781510617421

ISBN: (纸本)9781510617421

A great number of associative memory models have been proposed to realize information storage and retrieval inspired by human brain in the last few years. However, there is still much room for improvement for those models. In this paper, we extend a binary pattern associative memory model to accomplish real-world image recognition. The learning process is based on the fundamental Hebb rules and the retrieval is implemented by a normalized dot product operation. Our proposed model can not only fulfill rapid memory storage and retrieval for visual information but also have the ability on incremental learning without destroying the previous learned information. Experimental results demonstrate that our model outperforms the existing Self-Organizing Incremental Neural Network (SOINN) and Back Propagation Neuron Network (BPNN) on recognition accuracy and time efficiency.

关键词： Image recognition memory model Hebb learning rule incremental learning

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