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This is a Hypertext version of the Patent Pending
by iterations of the Taylor System and Method

 

SYSTEM AND METHOD FOR AUGMENTING KNOWLEDGE COMMERCE

Subsystem 4 Summary
System and Method for Transporting Agents
and Agent Environments
as an integrated Experience

Overview of the Patent Application

 

The system and method for transporting agents and agent environments as an integrated experience of the present invention can be used to transport agents, including human agents, within separate environments that are unique to that agent in a remarkable efficient way while optimizing utilization of transportation resources. The system includes transportation modules or "eggs," that can take many different forms. In the case of human transport, the environment can be tailored to an individuals wants, needs and desires. However, all of the "eggs" within the system should minimally be able to know where they are (in the case of human transport this can be accomplished through, for example, a GPS system or the like) and be able to report their location and status to a central system for coordinating transportation. The eggs should also be able to verify the identity of their occupant. In the case of human transport, this can this could be done, for example, through biometric techniques discussed herein or passwords and keys. Use of a central system that knows the identity and location of all agents within the system affords tremendous opportunities to facilitate transportation of agents. Moreover, in accordance the system and process underlying this invention, the system is capable of receiving feedback and is thus capable of improving itself through recursion and iteration. To fully facilitate transportation, the agents within the system must able to communicate to the overall system to indicate a desired location, i.e., where they want to go. The system has predictive capabilities that are improved over time through recursion, iteration and feedback to increasingly improve its ability to facilitate transportation. The transportation system improves the overall system in two ways. First, the transportation Sub-System provides tremendous opportunities to reduce waste in transportation. In the case of human transport, for example, consider, for example, a person going to the airport. Under current systems, the airline has no way of definitively forecasting which passengers holding reservations will actually arrive at the airport. Moreover, the current system for identifying passengers, ticketing passengers and loading passengers onto the plane only begins when the passenger arrives at the airport. Thus, passengers are told to arrive an "hour or two" before scheduled departure time. Although people have generally grown accustomed to this delay, almost all of it is a waste of time. A system that knows the identity and location of agents within the system can accurately forecast, based on their real behavior, which agents will actually arrive in time for a particular flight. In addition, processing the agents is greatly exemplified using the centralized system. By producing reducing these unnecessary delays, the utilization rate or percentage use of expensive assets such as jet aircraft, could be dramatically increased, thus increasing airline profit. The transportation system offers similar advantages in connection with other modes of transportation. One can appreciate the lack of utilization of modes of transportation by considering the number of cars that are not in use at any one time. The same applies to trucks, boats and trains. A system that is aware of the location and desired destinations of all agents within the system, allows further optimization through multi-modal transportation. In particular, based on past experience, an agent is transported in the most efficient way possible using whatever particular modes of transportation will yield fastest transport. Again, the only systems necessary are the individual environment (agent module) or egg having the ability to know its location, its occupancy, the desired destination of its occupancy and the ability to report all of these to a central system. To make the central system a learning system, however, the system should have a predictive capability to predict the best routing of the agent as well as storage means for keeping track of predictive routing as well as actual results so that the system receives feedback (ToA) and can then improve itself using principles processes of recursion (ToA) and iteration (ToA). Although the greatest inefficiencies in todays economy seem to be in connection with the transportation of human agents, the system described herein is readily applicable to the transportation of all forms of agents. Thus, at one level, the system of transportation serves to generate a vastly improved efficiency and utilization of existing transportation resources. It is expected that this improved efficiency will likely result in changes in the allocation of investment in transportational resources. For example, if one is ensured of having transportation available when and where needed, ownership of transportation assets (and the burdens associated with such ownership) becomes much less desirable to individuals. As indicated above, the specific form of the transportation module, or egg, can vary. However, it should be appreciated that certain additional efficiencies are offered, especially in the ability to use a multi-modal form of transportation, when the individual transportation module is readily adaptable to different forms of transportation. The system and method for transporting agents and agent environments as an integrated experience of the present invention is expressly not limited to the transport of human agents. To the contrary, the transportation Sub-System of the present invention is scaleable both upward and downward in size to address analogous problems in connection with other forms of agents. Specifically, the system of providing an agent builder, feedback and transportation can be used in the development of "learning systems" and other forms of intelligent agents. For example, as noted above, there is still a need for a software robot "agent" that can intelligently search through the files of the Internet and for a mechanism for processing the located files for presentation to an end user in a meaningful manner. Known approaches, including that disclosed in the Mauldin patent attempt to gain information through brute force sifting through files. The fundamental problems with such solutions are that they are not sufficiently scaleable to accommodate exponential growth in use and data to be searched and that the "agents" used are static and do not improve through feedback. The system and method of the present invention can be applied to develop improved "agents" for searching databases. This can be understood as an application of the transportation Sub-System of the present invention (where the "agents" are software objects transported through of a plurality of interconnected computers each having a plurality of files stored thereon) and/or an application of the facilitation Sub-System of the present invention (where the software "agents" interact with one another and the user to develop better agents). This again demonstrates the tight interaction and integration of the Sub-Systems of the present invention. In addition, the method and system of transporting agents and agent environments as an integrated experience according to the present invention demonstrates the interaction of the entire system. In particular, the system and method are developed by developing a PatchWorks Design (tm) Diagram. In this case, the exercise is aimed at the development process of the Transportation Sub-System of the Invention itself. The system and method for transporting agents and agent environments as an integrated experience includes various transportation modes for transporting an occupant environment. The environment may be in the form of a contained environment or "egg." The egg itself is a complete user environment that is adaptable to a variety of modes of transportation, for example, the environment may include navigation, GPS and communication systems. The specific mode of transportation shown can include, among other things, smart adjustable shrouds, impact protection, storage areas, an adaptive tracking system that allows the vehicle or transportation component to be used in the road, rail, air, etc., a propulsion unit and an agent environment package. In accordance with the method of the present invention, the occupant egg is adaptable to various modes of transportation, and the transportation vehicle itself is adaptable to traditional modes of transportation. Another aspect of this sub-system is a code protocol and language that describes the agents that make use of the system. This protocol defines the key attributes of the agent and the rules (RS) by which it interacts with other agents and agent environments. This protocol is useful in accomplishing the goal of "ship information, not mass" (SS) allowing the transportation of knowledge (ToA) and local, point-of-use manufacturing. As example, the entire materials list for a dwelling, including the configuration, mass, composition, location (in space and time), connectivity, etc., of each piece and component can be encoded into a "document" (agent) of a few "pages." This can include the rules (agents) governing the behavior and use of each piece, component and sub-assembly of the agent dwelling, as well as, its maintenance and operation. This document, therefore, is an agent and each of its sub-components is, each, an agent. After transporting, this (document) dwelling agent (and its composition of agents) can interact with agents of various kinds (computer, human, machine, etc.) to manufacture, erect and use the dwelling in accordance to local conditions and rules (which are themselves agents of the system in focus). The learning feature of the present invention, and the rule-based nature of it, allows emergence in this process. The dwelling agent does not have to execute its instructions in a merely "mechanistic" manner, but can interact, learn and adapt with the agents that form the environment of execution. Thus, "Mass Customization" (SS) can be accomplished with "standard" components. Of course, agents such as this dwelling agent are a commodity and can be owned and traded by other agents and, themselves, make up a part of the Knowledge Economy (ToA). Libraries of these agents will be available (the Solution Box system) making sophisticated solutions available to large numbers of agents for small fees. Because these agents can be built by their creators (AgentBuilder sub-system 3) the "Rules of Engagement" (ToA) can be built into the agent so that improper, non authorized and non compensated use is not possible. It is contemplated by this invention that special manufacturing and assembly facilities will be an integral part of the shipping system and will be general purpose assemblers (ToA) at the end of a given shipping "pipeline." Given the nature of this agent-based approach and the integration made possible by it, at each step of the transportation/assembly process, the "owners" of each component agent can be compensated, economically, based on exact use including the real benefit delivered and risks taken and the consideration of other factors. This constitutes a level of economy and utilization orders of magnitude greater than possible within the limits systematically imposed by the structure/process of the Industrial Economy (ToA) today. In addition, this System and Method will have profound effect on currant practices of "supply chain management" and shipping systems. In addition, utilization of the System and Method makes it possible to "embed" codes and other constraints into objects (agents) of all kinds. By employment of embedded chips and other devices, as heretofore mentioned (in sub-system 2), the "real" object can communicate with its virtual agent equivalent - and visa versa. Therefore, illegal, dangerous or not-agreed-to use can be reported and/or prevented. This means that Building Codes, in the example of "agent dwelling," can be built into the manufacturing and use processes (agents). Too many people in a room, for example, can be reported to the appropriate agents with some response built in the room itself - like the "refusal" to perform certain functions. Likewise, insurance risks and compliance can be more precisely matched to costs and allow actual performance-based billing. Economic factors related to utilization and damage can be automatically billed" in Real Time (ToA) with feedback (ToA) made available to the user of the devise, tool or environment. The users, in this example, of the dwelling can directly effect their costs, as well as, the total performance of the dwelling by their own actions. This feature of the present invention replaces a plethora of inaccurate, statistically based (not actual performance based) instruments such as invoices, contracts and other such methods. The behavior of a user can directly effect the performance levels and cost of the system the user is employing. Owners of systems can, therefore, mitigate undesirable costs while better serving their customers. "Here are the keys to the car but dont drive over 60 or beyond the city limits" can now have real operational meaning. The application of this Method extends to processes and objects of all kinds allowing "mass customization" of both user and provider experiences and costs. There are many such aspects of the present invention which are enumerated further in the description of sub-system 5. The utility of this method of transportation ranges from employment with existing methods of manufacturing and building (utilizing computers, Cad Cam and other automated equipment, as well as, humans and other agents) to future technologies such as Nano Technology approaches where this system and method will be particularly significant in the automated creation of objects of all kinds. The example given is that of an agent-dwelling. Any object or process can be treated this way requiring only the "building" of the appropriate agents. Thus, this Method can be used to design, transport, assemble and use tools and devices of all kinds, process instructions, information, economic instruments of execution and so on. Given the took-kit, Method and System of the present invention, humans (agents) and agents of all kinds can participate in the emergence of an economy limited only by imagination and synergy. This economy is no longer limited by the tools of transaction (money, stocks, contracts, etc.) as these tools grow as an integral aspect of the creation and interaction of the agents themselves. There exists, today, primitive methods of coding attributes of an object or process. The insight and unique feature of the present invention is a system and method that integrates these many separate aspects, that today require system-imposed high-overhead cost, into a self-correcting ., learning, adaptive, economical process from the insight and design function through shipping, manufacture and use. This process (sub-system 1) is made up of a myriad of agents (all "owned" by different agents) that are brought into an environment and "acted upon" in a specific way so as to create synergy (Group Genius - ToA). Each of these agent transactions and transformations "execute" economic activity (sub-system 5) employing agents, in the case of the agent dwelling example, of sub-system 4. The sum of all this is the IC Factory, i.e. the first systematic process of creating Intellectual Capital (ToA - sub-system 6).


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posted June 1, 2000

revised June 1, 2000
• 20000601.134548.mt•

(note: this document is about 5% finished)

Copyright© 1982, 1997, 1998, 1999, 2000 Matt Taylor

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