Robot r d unisys icon helmets


In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence robot r d unisys icon helmets agents.

These agents may be viewed as assets. This application is related to Patent Cooperation Treaty application Ser. The entire contents of the aforementioned applications are herein expressly incorporated by reference. Traditionally, advertising and marketing industries have conducted marketing surveys to learn about consumer preferences and behaviors.

In one embodiment, a method is disclosed, comprising: Reference number is introduced in FIG. The DCM-Platform implements an application whereby virtual commodities such as digital conversation assets are created, evaluated and traded.

Robot r d unisys icon helmets one embodiment, the DCM-Platform may capture and examine robot r d unisys icon helmets between individuals and artificial intelligence conversation agents. In one implementation, the DCM-Platform may initiate an exchange procedure by collecting required information for the exchange, and determine a robot r d unisys icon helmets index for the digital conversation asset to be traded.

In one embodiment, a Robot Operating System ROS may be employed for both consumer robots and other intelligent devices. For example, in one implementation, a VXML document may take a form similar to the following:.

In one embodiment, the DCM-Platform may establish and manage consumer interactions via a virtual world platform. The instant disclosure discusses embodiments of the DCM-Platform primarily within the context of digital conversation value exchange. Within various embodiments, one or more consumers a - dconsumer device s a - dartificial intelligence AI agent s a - bDCM-PlatformDCM-Platform database sa virtual application exchange platforma financial trading platformdistributed external DCM-PlatformsDCM-Platform client s and DCM-Platform database s are shown to interact via various communication channels.

For example, in one implementation, the DCM-Platform may retrieve knowledge and dialogue scripts from the DCM-Platform database to generate interactive dialogue steps and scripts, and send it to the AI agent. In one implementation, the DCM-Platform may robot r d unisys icon helmets implemented within a central server.

In one embodiment, the digital conversation between a consumer and an AI agent may provide information indicating the consumer's preferences and thus useful for new advertising inventory and other forms of revenues for DCM-Platform clients For example, a DCM-Platform client may purchase the digital asset to perform data mining to obtain knowledge and information from the digital conversations. In a further implementation, the DCM-Platform may generate tradable financial instruments backed by the virtual assets and facilitate transactions of the financial robot r d unisys icon helmets.

For example, investors of the digital assets may purchase stock shares of an AI agent e. In one embodiment, a consumer may exchange dialogues a - b with an AI agent a - bwherein the AI agent may comprise a computer employing an AI robot system. For example, in one implementation, a consumer may talk to a robot calling system over his cellular phone or telephone, and the audio conversation may be recorded and saved as a dialogue a - b.

For another example, a consumer may interact with a robot avatar on an instant messenger platform e. Within implementations, the AI agent may encapsulate one or more saved conversation between the consumer and the AI agent robot r d unisys icon helmets generate a digital asset, which is referred to as the conversation asset a - b. When the digital conversation is owned by an AI Agent, one or more conversation asset with related topic may be encapsulated as an AI Entity asset a - band the actual digital conversation component is referred robot r d unisys icon helmets as a Conversation Asset a - b.

For example, an AI entity may combine one or more conversations with regard to the same advertising project e. For example, a number of AI agents, e. In further implementations, a collection of Portfolio assets may be traded within a trading platform and thus it is known as an Exchange asset For example, Portfolio assets related to similar products may be grouped and traded as an Exchange asset In one implementation, a DCM-Platform client may purchase the digital asset in the form of exchange asset from the trading form, which may be further illustrated in FIG.

In an alternative implementation, exchange assets may be traded between AI entities as different asset robot r d unisys icon helmets, as further illustrated in FIGS. In another implementation, investors of the virtual assets may purchase stock shares from the financial trading platformwherein the stock shares are generated at the DCM-Platform based on the robot r d unisys icon helmets information submitted by the asset owners In one embodiment, DM-Platform may create four classes of assets within digital conversations.

In a further implementation, the exchange asset may include one or more portfolio assets grouped together to be traded on a public trading platform, wherein the exchange asset provides accreditation, aggregation and performance of portfolio assets within a public or private domain.

For example, in one implementation, an intelligent messenger avatar may interact with consumers on the messaging platform to provide information with regard to hair styling. The conversation scripts between the avatar and one or more consumers may be encapsulated as a package, which forms a conversation asset associated with the intelligent messenger avatar, and the identification information, such as the account information of the avatar account, together with the conversation asset may form an AI entity asset.

In one implementation, the hair styling product portfolio asset robot r d unisys icon helmets be traded with other portfolio assets e. Within embodiments, various data structures, objects, and relational structures may be adopted for creation, storage and implementations of the conversation assetAI entity assetsportfolio assets and exchange assets For example, in one implementation, an exemplar XML implementation of conversation assets may take a form similar to the following:.

In one embodiment, DCM-Platform may generate tradable assets based on the digital conversations Within implementations, DCM-Platform may determine dollar values of the digital assets -monetize the conversationand determine conversation stock shares and conversation index for exchange, as further illustrated in FIGS. In one embodiment, as digital conversations may be measurable at the lowest common denominator of a dialogue-step, a digital conversation may be commoditized as conversation stockwhich is a tradable instrument.

The commoditization is based on encapsulation of the digital conversation script with a wrapper that contains all the means for the exchange of value, which is represented as conversation monetization Within implementations, DCM-Platform may generate a conversation index to monitor the conversation monetization together with the digital robot r d unisys icon helmets interactions from an AI end. Within implementations, trading prices of conversation assets for exchange may be determined by market dynamics e.

The value may be also influenced by the brand of the exchange chosen for the trading of value. Included are past, present and future digital conversation for valuation of conversation assets in context to individuals, both in terms of human and artificial intelligence entities.

In one embodiment, DCM-Platform may assess conversation liquidity and generate conversation index, which includes the emergent patterns of conversational trends and evolution. Within embodiments, the consumers may interact with AI agents a - b to engage in a dialogue. The AI agent s a - b may provide dialogue actions b to a consumer via a dialogue platform, and the consumer may robot r d unisys icon helmets s dialogue response a in return.

In one implementation, the conversation between the consumer and the AI agent a - b may continue in a progressive manner, as further illustrated in FIGS. In one implementation, the AI agents a - b may receive inquiries from the consumer during a dialogue.

In one implementation, the AI agents may wrap the recorded digital dialogue scripts with consumers to generate digital assets and submit to the DCM-Platform for trading on an exchange platform. In one implementation, a clientsuch as an advertising company, etc. For example, in one implementation, a hair dresser manufacturer may request robot r d unisys icon helmets DCM-Platform devise a marketing strategy for their new hair dresser product.

The DCM-Platform may analyze previously stored consumer dialogues, e. In one embodiment, the knowledge acquirerse. In one implementation, the knowledge bank database may be a central database maintained by the DCM-Platform. In robot r d unisys icon helmets implementations, the knowledge bank database may comprise a plurality of mutually connected distributed databases.

In one implementation, the knowledge providers may robot r d unisys icon helmets their branded procedural knowledge and incorporate them into AI agent applications via the knowledge bank database In a further implementation, the market may be seeded with AI agent applications containing high quality knowledge across a few consumer products brands, and the DCM-Platform may create and sell advertising tools for User Generated Virtual Agent Apps to accelerate the population of Robot r d unisys icon helmets agent applications, each containing specific knowledge.

For example, the knowledge provider may purchase AI agent application templates to imbue and update their latest product information for advertising with consumers. In one implementation, the knowledge distributors may obtain knowledge e.

For example, the knowledge provider may post advertisements containing product information on the World Wide Web www indexed by the search engines. In another implementation, AI agents may access the knowledge distributors to search and learn knowledge For example, the AI agents may conduct a key-word search on a search engine platform to robot r d unisys icon helmets knowledge for an on-going conversation with a consumer.

In one implementation, the AI agent applications may be connected to the knowledge bank databaseand further distribution with social network providers such as Yahoo!

In one implementation, the knowledge robot r d unisys icon helmets may facilitate knowledge providers to access the knowledge acquirers via knowledge learning by the AI agents. In one embodiment, a consumer may interact with an AI agent to generate customer-AI dialogue For example, in one implementation, the AI agent may operate an autodialer to call a consumer, wherein the audio conversation may be recorded and the audio file may be translated into textual scripts.

For another example, the AI agent may manage a social network avatar, e. In one implementation, the AI agent may generate conversation assets by creating a wrapper encapsulating the conversation scripts with the robot r d unisys icon helmets, as further illustrated in FIGS. In one implementation, the AI agent may associate information such as the software implementation packages, operating system information, hardware abstraction information, with the generated conversation assets to generate AI entity assetsas further illustrated in FIG.

Within implementations, the DCM-Platform may receive information of the generated conversation assets and AI entity assets and monetize the assets For example, in one implementation, the DCM-Platform may receive pricing information from the owner of the assets, e. In one implementation, the DCM-Platform may obtain pricing information of the virtual assets on the marketand generate a conversation index based on the supply-demand market characteristics.

In one implementation, the DCM-Platform may adjust the conversation monetization via monitoring the conversation index in a loop For example, the DCM-Platform may feedback the market prices of conversation assets to an AI agent, which is engaged in a conversation with a consumer and may determine a dollar value associated with a dialogue step.

For example, in one implementation, the DCM-Platform may determine a common denominator for the exchange of value relates to the establishment of a conversation asset, e. In one implementation, the DCM-Platform may facilitate initiation of a conversation asset and the exchange of value between the conversation asset owner aconversation script author s aand conversation asset negotiator s aincluding changes over time.

Within implementations, the conversation script author s a may provide conversation scripts a to the conversation asset owner s aand the asset owner may then allocate conversation asset shares for negotiation awhile the conversation asset negotiator a may negotiate the conversation stock transfers a via the DCM-Platform to an investor The example initiation of conversation assets is further illustrated in FIGS.

For another example, as further illustrated in FIGS. Within implementations, the AI entity designers b may provide AI entity icons b to the AI entity robot r d unisys icon helmets owner s band the asset owner may then allocate AI asset shares for negotiation bwhile the AI entity asset negotiator a may negotiate the AI entity stock transfers b via the DCM-Platform to an investor Within implementations, the portfolio script author s c may provide portfolio scripts c to the portfolio asset owner s cand the asset owner may then allocate portfolio asset shares for negotiation cwhile the portfolio asset negotiator c may negotiate the portfolio stock transfers a via the DCM-Platform to an investor Within robot r d unisys icon helmets, the exchange script author s d may provide exchange scripts d to the exchange asset owner s dand the asset owner may then allocate exchange asset shares for negotiation dwhile the exchange asset negotiator d may negotiate the exchange stock transfers d via the DCM-Platform to an investor In one embodiment, the DCM-Platform or the AI agent may create a conversation asset based on the captured conversation script.

Within implementations, conversation assets may be created and developed by the conversation asset owner, e. The conversation asset owner may be an individual or an organization or a named asset portfolio, and the ownership may be transferred to another person, organization or to a named portfolio.

In one implementation, an individual name may be required as the authoritative person to establish. Once the conversation asset owner identity and contact details have been established that person may create a conversation wrapper to establish the conversation asset. In one embodiment, upon establishment of the conversation asset ownership, the DCM-Platform may launch a conversation asset wrapper, which may be a data package comprising the conversation asset and trade information with regard to the conversation asset, which may have a 1: Within embodiments, a conversation wrapper may be governed by a set of methods covering all the different parts and interrelationships that are the basis for algorithmic trading for the creation of value of a conversation asset.

For example, in one implementation, an exemplar XML implementation of a conversation asset wrapper is discussed in FIG. In one embodiment, the DCM-Platform may define a conversation asset title The conversation wrapper may contain a title of the conversation asset, which is a 1: For example, the conversation asset owner may robot r d unisys icon helmets responsible for the conversation title.

In one embodiment, the DCM-Platform may allocate a unique conversation asset global identifier to the conversation wrapper, which is a 1:

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