To makesystem-of-systems combat simulation models easy to be developed and reused, simulation model formal specification and representation are researched. According to the view of system-of-systems combat simulation,...To makesystem-of-systems combat simulation models easy to be developed and reused, simulation model formal specification and representation are researched. According to the view of system-of-systems combat simulation, and based on DEVS, the simulation model＇s fundamental formalisms are explored. It includes entity model, system-of-systems model and experiment model. It also presents rigorous formal specification. XML data exchange standard is combined to design the XML based language, SCSL, to support simulation model representation. The corresponding relationship between SCSL and simulation model formalism is discussed and the syntax and semantics of elements in SCSL are detailed. Based on simulation model formal specification, the abstract simulation algorithm is given and SCSL virtual machine, which is capable of automatically interpreting and executing simulation model represented by SCSL, is designed. Finally an application case is presented, which can show the validation of the theory and verification of SCSL.展开更多
随着大语言模型(Large Language Models,LLMs)在自然语言生成和情感计算方面的技术进步,其在心理咨询、医患沟通和客户服务等领域的共情模拟能力受到广泛关注。LLMs的共情模拟主要表现为认知共情模拟,而非情感共情模拟,主要包括情绪识...随着大语言模型(Large Language Models,LLMs)在自然语言生成和情感计算方面的技术进步,其在心理咨询、医患沟通和客户服务等领域的共情模拟能力受到广泛关注。LLMs的共情模拟主要表现为认知共情模拟,而非情感共情模拟,主要包括情绪识别、共情回应和语境适应。当前评估LLMs共情模拟的方法包括人工评估、自动化评估、任务驱动评估,三种方法各有优劣,适用场景有所差异。LLMs共情模拟能力与人类共情能力相比,在共情生成任务方面表现出色,但仍面临情感理解的局限性;为了进一步提升LLMs的共情模拟能力,可以采用数据增强、模型框架与架构优化、强化学习、引导词优化等方法加以改进。同时,模型使用过程中的伦理规范与潜在风险仍需引起关注。展开更多
文摘To makesystem-of-systems combat simulation models easy to be developed and reused, simulation model formal specification and representation are researched. According to the view of system-of-systems combat simulation, and based on DEVS, the simulation model＇s fundamental formalisms are explored. It includes entity model, system-of-systems model and experiment model. It also presents rigorous formal specification. XML data exchange standard is combined to design the XML based language, SCSL, to support simulation model representation. The corresponding relationship between SCSL and simulation model formalism is discussed and the syntax and semantics of elements in SCSL are detailed. Based on simulation model formal specification, the abstract simulation algorithm is given and SCSL virtual machine, which is capable of automatically interpreting and executing simulation model represented by SCSL, is designed. Finally an application case is presented, which can show the validation of the theory and verification of SCSL.
文摘随着大语言模型(Large Language Models,LLMs)在自然语言生成和情感计算方面的技术进步,其在心理咨询、医患沟通和客户服务等领域的共情模拟能力受到广泛关注。LLMs的共情模拟主要表现为认知共情模拟,而非情感共情模拟,主要包括情绪识别、共情回应和语境适应。当前评估LLMs共情模拟的方法包括人工评估、自动化评估、任务驱动评估,三种方法各有优劣,适用场景有所差异。LLMs共情模拟能力与人类共情能力相比,在共情生成任务方面表现出色,但仍面临情感理解的局限性;为了进一步提升LLMs的共情模拟能力,可以采用数据增强、模型框架与架构优化、强化学习、引导词优化等方法加以改进。同时,模型使用过程中的伦理规范与潜在风险仍需引起关注。
