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1. 发明公开

EP1577830A2 Adaptive dynamic computer system 审中-公开
标题翻译：自适应动态计算机系统
公开(公告)号：EP1577830A2
公开(公告)日：2005-09-21
申请号：EP05250306.7
申请日：2005-01-21
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G06N5/04
CPC分类号： G06N5/043
摘要： A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system is comprised of complex networks of databases. The system presents a novel database architecture called the distributed transformational spatio-temporal object relational (T-STOR) database management system (dbms). Data is continuously input, analyzed, organized, reorganized and used for specific commercial and industrial applications. The system uses intelligent mobile software agents in a multi-agent system in order to learn anticipate and adapt and to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. The system links together numerous complex systems involving distributed networks to present a novel model for dynamic adaptive computing systems, which includes plasticity of collective behaviour and self-organizing behaviour in intelligent system structures.

2. 发明公开

EP1534591A2 SYSTEM, METHOD AND APPARATUS FOR AUTOMATED COLLECTIVE MOBILE ROBOTIC VEHICLES USED IN REMOTE SENSING SURVEILLANCE 审中-公开
标题翻译：系统，方法和装置用于监视进一步修正所使用AUTOMATED集体机器人小车
公开(公告)号：EP1534591A2
公开(公告)日：2005-06-01
申请号：EP03754365.9
申请日：2003-04-22
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： B64D1/04
CPC分类号： H04L67/12 , B64C39/024 , F41H13/00 , G05D1/0088 , H04B7/18517
摘要： A system is described for remote sensing surveillance by configuring groups of automated mobile robotic vehicles (MRVs). The collection of MRVs have sensors that feed information to a central network node. As the MRVs interact with the environment, the mobile network adapts in real time by reconfiguring its spatial positions. This system, and the methods and apparatus involved therein, are applied to reconnaissance missions in order to collect information in remote hostile environments.

3. 发明公开

EP1686441A1 System, methods and apparatus for complex behaviors of collectives of intelligent mobile software agents 审中-公开
标题翻译：系统，方法和装置的智能手机软件代理社区复杂的行为
公开(公告)号：EP1686441A1
公开(公告)日：2006-08-02
申请号：EP06001369.5
申请日：2006-01-23
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G05B19/418
CPC分类号： G05B19/418 , G05B2219/33055 , G06N3/004 , G06N5/04 , Y02P90/02 , Y02P90/08 , Y02P90/18 , Y02P90/26
摘要： A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system uses intelligent mobile software agents in a multi-agent system to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. Data are continuously input, analyzed, organized, reorganized, used and output for specific commercial and industrial applications. The system uses combinations of AI techniques, including evolutionary computation, genetic programming and evolving artificial neural networks; consequently, the system learns, anticipates and adapts. The numerous categories of applications of the system include optimizing network dynamics, collective robotics systems, automated commercial systems and molecular modeling systems. Given the application of complexity theory and modal and temporal logics to self-organizing dynamic networks, a novel model of intelligent systems is presented.
摘要翻译：一种系统，方法和装置被描述涉及分布式计算机网络的自组织动力学。该系统采用智能型手机软件代理的多代理系统来执行许多功能，包括搜索，分析，合作，协商，决策和结构转型。数据连续输入，分析，组织改组，使用和输出特定的商业和工业应用。该系统使用的人工智能技术，包括进化计算，遗传编程和不断变化的人工神经网络的组合; 因此，系统学习，预测和适应。的系统的应用程序的许多类别包括优化网络动力学，集体机器人系统，自动化商业系统和分子建模系统。鉴于复杂性理论和模态和时间逻辑的自组织的动态网络应用，智能系统的一种新的模型。

4. 发明公开

EP1607898A3 A bioinformatics system for functional proteomics modelling 审中-公开
标题翻译： Bioinformatiksystemfürfunktionelle Proteomics Modellierung
公开(公告)号：EP1607898A3
公开(公告)日：2006-03-29
申请号：EP05253035.9
申请日：2005-05-18
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G06F19/00
CPC分类号： G06F19/12
摘要： The invention develops models of functional proteomics. Simulation scenarios of protein pathway vectors and protein-protein interactions are modelled from limited information in protein databases. The system focuses on three integrated subsystems, including (1) a system to model protein-protein interactions using an evolvable Global Proteomic Model (GPM) of functional proteomics to ascertain healthy pathway operations, (2) a system to identify haplotypes customized for specific pathology using dysfunctional protein pathway simulations of the function of combinations of single nucleotide polymorphisms (SNPs) so as to ascertain pathology mutation sources and (3) a pharmacoproteomic modelling system to develop, test and refine proposed drug solutions based on the molecular structure and topology of mutant protein(s) in order to manage individual pathologies. The system focuses on simulating the degenerative genetic disease categories of cancer, neurodegenerative diseases, immunodegenerative diseases and aging. The system reveals approaches to reverse engineer and test personalized medicines based upon dysfunctional proteomic pathology simulations.
摘要翻译：本发明开发功能蛋白质组学模型。蛋白质途径载体和蛋白质 - 蛋白质相互作用的模拟场景由蛋白质数据库中的有限信息建模。该系统侧重于三个综合子系统，其中包括（1）使用功能蛋白质组学的可演化全球蛋白质组学模型（GPM）来建立蛋白质 - 蛋白质相互作用以确定健康的途径操作的系统，（2）识别针对特定病理学定制的单元型的系统使用单核苷酸多态性（SNPs）组合功能的功能障碍蛋白途径模拟，以确定病理突变来源;（3）基于突变体的分子结构和拓扑结构开发，测试和提炼药物溶液的药代学模型系统蛋白质以管理各种病态。该系统着重于模拟退行性遗传疾病类别的癌症，神经退行性疾病，免疫反应性疾病和衰老。该系统揭示了基于功能障碍蛋白质组学病理学模拟的逆向工程和测试个性化药物的方法。

5. 发明公开

EP1563348A2 SYSTEMS, METHODS AND APPARATUS FOR ORGANIZING GROUPS OF SELF-CONFIGURABLE MOBILE ROBOTIC AGENTS IN A MULTI-ROBOTIC SYSTEM 审中-公开
标题翻译：系统，方法和设备组织自配置移动机器人剂中成组多机器人系统
公开(公告)号：EP1563348A2
公开(公告)日：2005-08-17
申请号：EP03793423.9
申请日：2003-08-21
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G05B19/04
CPC分类号： G05D1/0088 , F41H13/00
摘要： A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. The MRAs use simulations to organize the behaviors of groups of robots in the MRS. The MRAs use software agents to model the MRS and the environment. By developing simulations of environmental change, the system provides methods for the MRS to interact with its environment to produce collective epigenetic behaviors.

6. 发明公开

EP1638042A2 Mobile hybrid software router 审中-公开
标题翻译：手机软件路由器
公开(公告)号：EP1638042A2
公开(公告)日：2006-03-22
申请号：EP05019965.2
申请日：2005-09-14
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G06N3/08 , G06N5/00
CPC分类号： H04L41/16 , G06N3/086
摘要： A hybrid router for dynamical control systems is described. The mobile hybrid software router (MHSR) combines distinctive computational and mathematical techniques, including evolutionary computation (EC), probabilistic simulations (PS), machine learning and artificial neural networks (A-NNs), in order to solve unique problems encountered in an unknown environment in real time. Embodied in intelligent mobile software agents (IMSAs), the MHSR operates within a multi-agent system (MAS) to continually optimize system operation. The MHSR is applied to several major complex system categories. In one embodiment of the system, the MHSR is implemented in hardware, including continuously programmable field programmable gate arrays (CP-FPGAs), for perpetually reconfigurable evolvable hardware operation. Whether in application-specific or multi-functional mode, the MHSR is useful to groups of agents in intelligent systems for adaptation to uncertain environments in order to perform self-organization capabilities.
摘要翻译：描述了用于动态控制系统的混合路由器。移动混合软件路由器（MHSR）结合了独特的计算和数学技术，包括进化计算（EC），概率模拟（PS），机器学习和人工神经网络（A-NN）），以解决未知中遇到的独特问题环境实时。在智能移动软件代理（IMSAs）中，MHSR在多代理系统（MAS）中运行，以不断优化系统运行。 MHSR适用于几个主要的复杂系统类别。在系统的一个实施例中，MHSR以硬件实现，包括连续可编程的现场可编程门阵列（CP-FPGA），用于永久可重构的演进硬件操作。无论是在应用程序或多功能模式下，MHSR对智能系统中的代理组都有用，以适应不确定环境以执行自组织功能。

7. 发明公开

EP1607898A2 A bioinformatics system for functional proteomics modelling 审中-公开
标题翻译： Bioinformatiksystem的功能蛋白质组学建模
公开(公告)号：EP1607898A2
公开(公告)日：2005-12-21
申请号：EP05253035.9
申请日：2005-05-18
申请人： Solomon, Neal E.
发明人： Solomon, Neal E.
IPC分类号： G06F19/00
CPC分类号： G06F19/12
摘要： The invention develops models of functional proteomics. Simulation scenarios of protein pathway vectors and protein-protein interactions are modelled from limited information in protein databases. The system focuses on three integrated subsystems, including (1) a system to model protein-protein interactions using an evolvable Global Proteomic Model (GPM) of functional proteomics to ascertain healthy pathway operations, (2) a system to identify haplotypes customized for specific pathology using dysfunctional protein pathway simulations of the function of combinations of single nucleotide polymorphisms (SNPs) so as to ascertain pathology mutation sources and (3) a pharmacoproteomic modelling system to develop, test and refine proposed drug solutions based on the molecular structure and topology of mutant protein(s) in order to manage individual pathologies. The system focuses on simulating the degenerative genetic disease categories of cancer, neurodegenerative diseases, immunodegenerative diseases and aging. The system reveals approaches to reverse engineer and test personalized medicines based upon dysfunctional proteomic pathology simulations.

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