The Aigents software platform allows Internet users to receive timely and personalized information from across the web and their communities through intelligent agents. These agents utilize distributed semantic search and learn from user feedback to deliver precisely relevant results while connecting users within social networks. The platform is available via various devices and as free or paid services hosted by communities and businesses.
Software Agents are very useful in coming Software development process. This ppt discuss introduction and use of Agents in Software development process.
software agents course details and methods of programming in jade.
A software agent is a persistent, goal-oriented computer program that reacts to its environment and runs without continuous direct supervision to perform some function for an end user or another program. Some, but not all, software agents have UIs (user interfaces). A software agent is the computer analog of an autonomous robot.
Software agents represent an evolutionary step beyond conventional computer programs. Software agents can activate and run themselves, not requiring input from or interaction with a human user. Software agents can also initiate, oversee, and terminate other programs or agents including applications and online intelligent agents.
Among a great many other applications, software agents:
Conduct targeted Internet searches.
Check and prioritize incoming e-mail.
Test new computer games.
Fill out e-forms.
Conduct online job searches.
Synchronize social networking profiles.
Assemble customized news reports.
Find good deals in e-commerce.
This document discusses parallel language and compiler features. It describes the demanding programming environment for parallel computers compared to sequential ones. The document outlines six categories of parallel language features: optimization, availability, synchronization/communication, control of parallelism, data parallelism, and process management. It also discusses the three phases of compilers for parallel languages: flow analysis, optimization, and code generation. The goal is to automatically generate optimized parallel code from high-level languages to maximize hardware parallelism.
Introduction to agents and multi-agent systemsAntonio Moreno
Multi-agent systems course at University Rovira i Virgili. Slides mostly based on those of Rosenschein, from the content of the book by Wooldridge.
Lecture 1-Introduction to agents and multi-agent systems.
This document provides an overview of different agent architectures, including reactive, deliberative, and hybrid architectures. It discusses key concepts like the types of environments agents can operate in, including accessible vs inaccessible, deterministic vs non-deterministic, episodic vs non-episodic, and static vs dynamic environments. Reactive architectures are focused on fast reactions to environmental changes with minimal internal representation and computation. Deliberative architectures emphasize long-term planning and goal-driven behavior using symbolic representations. Rodney Brooks proposed that intelligence can emerge from the interaction of simple agents following stimulus-response rules, without complex internal models, as seen in ant colonies.
MAS course at URV. Lecture 4, agent types (specially interface agents, information agents, hybrid systems, agentification). Based on diverse resources.
WebRTC is an exciting new technology that lets you easily add realtime communication capabilities to your web and native apps. Learn more about WebRTC in this presentation from the real-life practitioners at Gruveo (www.gruveo.com).
Software Agents are very useful in coming Software development process. This ppt discuss introduction and use of Agents in Software development process.
software agents course details and methods of programming in jade.
A software agent is a persistent, goal-oriented computer program that reacts to its environment and runs without continuous direct supervision to perform some function for an end user or another program. Some, but not all, software agents have UIs (user interfaces). A software agent is the computer analog of an autonomous robot.
Software agents represent an evolutionary step beyond conventional computer programs. Software agents can activate and run themselves, not requiring input from or interaction with a human user. Software agents can also initiate, oversee, and terminate other programs or agents including applications and online intelligent agents.
Among a great many other applications, software agents:
Conduct targeted Internet searches.
Check and prioritize incoming e-mail.
Test new computer games.
Fill out e-forms.
Conduct online job searches.
Synchronize social networking profiles.
Assemble customized news reports.
Find good deals in e-commerce.
This document discusses parallel language and compiler features. It describes the demanding programming environment for parallel computers compared to sequential ones. The document outlines six categories of parallel language features: optimization, availability, synchronization/communication, control of parallelism, data parallelism, and process management. It also discusses the three phases of compilers for parallel languages: flow analysis, optimization, and code generation. The goal is to automatically generate optimized parallel code from high-level languages to maximize hardware parallelism.
Introduction to agents and multi-agent systemsAntonio Moreno
Multi-agent systems course at University Rovira i Virgili. Slides mostly based on those of Rosenschein, from the content of the book by Wooldridge.
Lecture 1-Introduction to agents and multi-agent systems.
This document provides an overview of different agent architectures, including reactive, deliberative, and hybrid architectures. It discusses key concepts like the types of environments agents can operate in, including accessible vs inaccessible, deterministic vs non-deterministic, episodic vs non-episodic, and static vs dynamic environments. Reactive architectures are focused on fast reactions to environmental changes with minimal internal representation and computation. Deliberative architectures emphasize long-term planning and goal-driven behavior using symbolic representations. Rodney Brooks proposed that intelligence can emerge from the interaction of simple agents following stimulus-response rules, without complex internal models, as seen in ant colonies.
MAS course at URV. Lecture 4, agent types (specially interface agents, information agents, hybrid systems, agentification). Based on diverse resources.
WebRTC is an exciting new technology that lets you easily add realtime communication capabilities to your web and native apps. Learn more about WebRTC in this presentation from the real-life practitioners at Gruveo (www.gruveo.com).
La obra Romeo y Julieta de Shakespeare narra la trágica historia de amor entre Romeo Montesco y Julieta Capuleto, cuyas familias están enemistadas. A pesar de ello, se enamoran perdidamente en un baile. Con la ayuda de Fray Lorenzo se casan en secreto, pero una serie de desafortunados eventos los lleva al destierro de Romeo y al fingimiento de muerte de Julieta. Romeo, creyendo que Julieta ha muerto realmente, se suicida besándola; cuando ella despiert
Web Real Time Communication (WebRTC) is a new web standard that enables real-time communication directly in web browsers. It allows for peer-to-peer connections between browsers for video calling, file sharing, and other applications. WebRTC uses JavaScript APIs and HTML5 to access cameras and microphones, establish peer connections, and exchange streaming media and data without plugins. It provides encryption and security to ensure private communication.
This document discusses peer-to-peer (P2P) networks and their relationship to software agents. It describes different types of P2P network architectures and challenges with resource location. It proposes using a distributed hash table with a "ring of Chord rings" structure to index resources across keyword rings. Agents could route queries and help organize this P2P network to improve scalability, fault tolerance, and the ability to find resources. The document also notes opportunities to use agents and P2P together to enhance applications and coordination.
This document discusses IoT Agents and their role in the IoT architecture. It covers interaction models like active attributes, lazy attributes, and commands. It also covers device and group provisioning APIs. The document outlines how to build an IoT Agent using Node.js or C++ and interfaces with the Context Broker and device protocols like OMA Lightweight M2M. It provides resources for IoT Agent frameworks and libraries.
The document discusses systems analysis and design models. It explains that analysts use various models like descriptive, graphical and mathematical models to define system requirements. Some key models mentioned are entity-relationship diagrams, used to model data entities, and class diagrams, used to model objects and classes. Events that trigger use cases and "things" in the problem domain help identify functional requirements.
Iot Toolkit and the Smart Object API - Architecture for InteroperabilityMichael Koster
The document describes an IoT Toolkit and Smart Object API that aims to enable interoperability between IoT applications, connected objects, and machine-to-machine protocols. The API defines a virtual representation of physical smart objects using an object model, REST API, data models, and event model. It allows applications to connect to any thing via any M2M protocol by abstracting the underlying protocols and providing a common interface through the Smart Object API.
Industrial applications of multi-agent systems was discussed. Key points included:
- Agent technology has been adopted in domains like manufacturing control, production planning, logistics, and supply chain integration where distributed control and open systems are needed.
- Main bottlenecks to adoption are awareness, risk, and lack of mature tools. Common agent concepts used include coordination, negotiation, distributed planning, and interoperability.
- Examples of deployed systems include control of engine assembly plants, production planning systems, logistical routing of transport orders, and supply chain integration platforms. Future challenges include greater integration with hardware.
The document summarizes a lecture on cooperation in multi-agent systems. It discusses different types of cooperation including emergent cooperation without explicit communication, and cooperation with explicit communication like deliberative cooperation using partial global planning and negotiation techniques like the contract net protocol. It provides examples of how distributed vehicle monitoring problems can be solved using partial global planning where agents generate and optimize partial global plans by exchanging local plans.
1) The document discusses 8 key properties that an intelligent agent should have: flexibility, reactivity, proactiveness, social ability, rationality, reasoning capabilities, learning, and autonomy.
2) Reactivity means an agent can respond to changes in its environment. Proactiveness means an agent can exhibit goal-directed behavior by taking initiative.
3) Social ability allows an agent to interact and cooperate with other agents via communication. Rationality means an agent will act to achieve its goals based on its beliefs.
This lecture discusses agent communication in multi-agent systems. It covers blackboard systems where agents share information on a common blackboard, and message passing where agents directly communicate messages. The lecture also discusses speech acts which describe the intentions behind agent communications, such as requests, queries, and informs. Standards like FIPA help agents from different systems understand each other's communications.
Introduction to WWW, History of Web
Protocols governing web
Cyber Crime
Cyber Laws
IT Act 2000
Web Development Strategies, Planning and Development
Web Applications
Web Development Process
Web Team
This document discusses client-server architecture. It defines clients as workstations that rely on servers for resources like files, devices, and processing power. Servers are dedicated computers that manage disk drives, printers, or network traffic. In a client-server model, applications are split into client and server components, with clients accessing services provided by servers. There are two main types: 2-tier, with clients and a single server, and 3-tier, with separate servers for the interface, logic, and data layers, allowing for better scalability. Thin clients rely fully on servers, while fat clients run some application logic locally.
introduction to data processing using Hadoop and PigRicardo Varela
In this talk we make an introduction to data processing with big data and review the basic concepts in MapReduce programming with Hadoop. We also comment about the use of Pig to simplify the development of data processing applications
YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London
The document provides an overview of client/server architecture. It discusses the introduction and vision of client/server computing, characteristics of clients and servers, and merits and demerits compared to peer-to-peer networks. It also covers different types of servers like file servers and database servers. Key aspects of client/server architecture include separating functions between clients and servers, centralized data storage and management on servers, and communication through message passing.
The document discusses the client-server architecture, including its definition, timeline, types of servers, tiers, protocols, and future directions. The client-server model involves clients sending requests to servers which process and return responses. It has evolved from mainframe computers to today's multi-tier architectures with web, application, and database servers. Protocols like HTTP, TCP/IP, and FTP are used to facilitate communication between clients and servers. Cloud computing is presented as the future direction rather than traditional client-server systems.
Make your solution see, hear and talk, leveraging artificial intelligence services based on deep learning and neural networks. We will discover three new AI tools from AWS - Lex, Polly and Rekognition; integrated with AWS IoT and a physical world device for human interaction and environmental awareness.
- EON provides an AI powered knowledge metaverse program through grants to support post-pandemic recovery in education, enterprise, and communities.
- The program connects academic, government, and enterprise institutions around the world through EON's knowledge metaverse platform and products, which have over 42 million user experiences.
- EON offers various grant programs that provide institutions access to its expertise, resources, and XR technology at low or no cost to transform education and workforce development through immersive learning.
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
Building in-house R&D to push boundaries of Voice systemsAlexandre Nicol
EDF is building in-house R&D capabilities to push the boundaries of voice systems. They started exploring voice technologies in 2015 with an Amazon Echo and have since built their own EDF skill for Alexa. Going forward, EDF plans to leverage collective intelligence by incorporating user feedback and preferences to improve responses. They also want to develop multimodal experiences across multiple devices to reduce cognitive load and open new interaction possibilities.
Clearly Innovative Inc a mobile development Capabilities. We are a minority owned development agency based in washington dc. We have clients of all sizes and look forward to discussing you enterprise or B2C solution
La obra Romeo y Julieta de Shakespeare narra la trágica historia de amor entre Romeo Montesco y Julieta Capuleto, cuyas familias están enemistadas. A pesar de ello, se enamoran perdidamente en un baile. Con la ayuda de Fray Lorenzo se casan en secreto, pero una serie de desafortunados eventos los lleva al destierro de Romeo y al fingimiento de muerte de Julieta. Romeo, creyendo que Julieta ha muerto realmente, se suicida besándola; cuando ella despiert
Web Real Time Communication (WebRTC) is a new web standard that enables real-time communication directly in web browsers. It allows for peer-to-peer connections between browsers for video calling, file sharing, and other applications. WebRTC uses JavaScript APIs and HTML5 to access cameras and microphones, establish peer connections, and exchange streaming media and data without plugins. It provides encryption and security to ensure private communication.
This document discusses peer-to-peer (P2P) networks and their relationship to software agents. It describes different types of P2P network architectures and challenges with resource location. It proposes using a distributed hash table with a "ring of Chord rings" structure to index resources across keyword rings. Agents could route queries and help organize this P2P network to improve scalability, fault tolerance, and the ability to find resources. The document also notes opportunities to use agents and P2P together to enhance applications and coordination.
This document discusses IoT Agents and their role in the IoT architecture. It covers interaction models like active attributes, lazy attributes, and commands. It also covers device and group provisioning APIs. The document outlines how to build an IoT Agent using Node.js or C++ and interfaces with the Context Broker and device protocols like OMA Lightweight M2M. It provides resources for IoT Agent frameworks and libraries.
The document discusses systems analysis and design models. It explains that analysts use various models like descriptive, graphical and mathematical models to define system requirements. Some key models mentioned are entity-relationship diagrams, used to model data entities, and class diagrams, used to model objects and classes. Events that trigger use cases and "things" in the problem domain help identify functional requirements.
Iot Toolkit and the Smart Object API - Architecture for InteroperabilityMichael Koster
The document describes an IoT Toolkit and Smart Object API that aims to enable interoperability between IoT applications, connected objects, and machine-to-machine protocols. The API defines a virtual representation of physical smart objects using an object model, REST API, data models, and event model. It allows applications to connect to any thing via any M2M protocol by abstracting the underlying protocols and providing a common interface through the Smart Object API.
Industrial applications of multi-agent systems was discussed. Key points included:
- Agent technology has been adopted in domains like manufacturing control, production planning, logistics, and supply chain integration where distributed control and open systems are needed.
- Main bottlenecks to adoption are awareness, risk, and lack of mature tools. Common agent concepts used include coordination, negotiation, distributed planning, and interoperability.
- Examples of deployed systems include control of engine assembly plants, production planning systems, logistical routing of transport orders, and supply chain integration platforms. Future challenges include greater integration with hardware.
The document summarizes a lecture on cooperation in multi-agent systems. It discusses different types of cooperation including emergent cooperation without explicit communication, and cooperation with explicit communication like deliberative cooperation using partial global planning and negotiation techniques like the contract net protocol. It provides examples of how distributed vehicle monitoring problems can be solved using partial global planning where agents generate and optimize partial global plans by exchanging local plans.
1) The document discusses 8 key properties that an intelligent agent should have: flexibility, reactivity, proactiveness, social ability, rationality, reasoning capabilities, learning, and autonomy.
2) Reactivity means an agent can respond to changes in its environment. Proactiveness means an agent can exhibit goal-directed behavior by taking initiative.
3) Social ability allows an agent to interact and cooperate with other agents via communication. Rationality means an agent will act to achieve its goals based on its beliefs.
This lecture discusses agent communication in multi-agent systems. It covers blackboard systems where agents share information on a common blackboard, and message passing where agents directly communicate messages. The lecture also discusses speech acts which describe the intentions behind agent communications, such as requests, queries, and informs. Standards like FIPA help agents from different systems understand each other's communications.
Introduction to WWW, History of Web
Protocols governing web
Cyber Crime
Cyber Laws
IT Act 2000
Web Development Strategies, Planning and Development
Web Applications
Web Development Process
Web Team
This document discusses client-server architecture. It defines clients as workstations that rely on servers for resources like files, devices, and processing power. Servers are dedicated computers that manage disk drives, printers, or network traffic. In a client-server model, applications are split into client and server components, with clients accessing services provided by servers. There are two main types: 2-tier, with clients and a single server, and 3-tier, with separate servers for the interface, logic, and data layers, allowing for better scalability. Thin clients rely fully on servers, while fat clients run some application logic locally.
introduction to data processing using Hadoop and PigRicardo Varela
In this talk we make an introduction to data processing with big data and review the basic concepts in MapReduce programming with Hadoop. We also comment about the use of Pig to simplify the development of data processing applications
YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London
The document provides an overview of client/server architecture. It discusses the introduction and vision of client/server computing, characteristics of clients and servers, and merits and demerits compared to peer-to-peer networks. It also covers different types of servers like file servers and database servers. Key aspects of client/server architecture include separating functions between clients and servers, centralized data storage and management on servers, and communication through message passing.
The document discusses the client-server architecture, including its definition, timeline, types of servers, tiers, protocols, and future directions. The client-server model involves clients sending requests to servers which process and return responses. It has evolved from mainframe computers to today's multi-tier architectures with web, application, and database servers. Protocols like HTTP, TCP/IP, and FTP are used to facilitate communication between clients and servers. Cloud computing is presented as the future direction rather than traditional client-server systems.
Make your solution see, hear and talk, leveraging artificial intelligence services based on deep learning and neural networks. We will discover three new AI tools from AWS - Lex, Polly and Rekognition; integrated with AWS IoT and a physical world device for human interaction and environmental awareness.
- EON provides an AI powered knowledge metaverse program through grants to support post-pandemic recovery in education, enterprise, and communities.
- The program connects academic, government, and enterprise institutions around the world through EON's knowledge metaverse platform and products, which have over 42 million user experiences.
- EON offers various grant programs that provide institutions access to its expertise, resources, and XR technology at low or no cost to transform education and workforce development through immersive learning.
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
Building in-house R&D to push boundaries of Voice systemsAlexandre Nicol
EDF is building in-house R&D capabilities to push the boundaries of voice systems. They started exploring voice technologies in 2015 with an Amazon Echo and have since built their own EDF skill for Alexa. Going forward, EDF plans to leverage collective intelligence by incorporating user feedback and preferences to improve responses. They also want to develop multimodal experiences across multiple devices to reduce cognitive load and open new interaction possibilities.
Clearly Innovative Inc a mobile development Capabilities. We are a minority owned development agency based in washington dc. We have clients of all sizes and look forward to discussing you enterprise or B2C solution
Putting Music in Context: Improving the listening experience through context-...Jini
Improving the listening experience through context-aware discovery. (2013) - Download the 'Putting Music in Context' whitepaper for free at http://enterprise.jini.co
This document outlines a marketing campaign for Greenhouse, a company that aims to connect different interfaces into a unified ecosystem for human-computer interaction. The campaign targets academic creative coders, who are young skilled programmers interested in creating new things.
The campaign will involve creating an interactive display and community website called "Greenhouse U" at the University of Illinois. Advertisements will also run on Spotify and Pandora targeting the local student population. The goal is to attract users to the community website to share and view projects, and build a network for creative coders. Analytics will be used to learn about users and improve targeting of ads and content. The campaign aims to grow the Greenhouse brand on more top computer science campuses
How To Find The Best Essay Writers Online - The Katy NewsWendy Belieu
The document discusses two plays: Hamlet by William Shakespeare and Rosencrantz and Guildenstern Are Dead by Tom Stoppard. It compares how the plays reflect the values of the contexts in which they were written. Hamlet reflects the early 17th century context through its focus on destiny and divine order. Rosencrantz and Guildenstern Are Dead reflects the 1960s context through its modern questioning of existence and identity. Both plays touch on political unrest, though they represent it differently based on their eras.
The document discusses unlocking the power of social media using cloud computing. It provides an agenda for a presentation or workshop including an introduction to social media analytics, live demos of creating blob storage and logic apps in Azure, and applying sentiment analysis. The document also discusses the importance of social media analytics and provides information about Azure sentiment analysis using logic apps and function apps.
How To Write A Higher-Level Essay Introduction Pen AMonica Ramos
The document discusses big data management and the management of large volumes of data. It notes that big data management involves governance and management of vast amounts of all types of data. Big data management represents a major change in technology that can help improve society and industry. The key aspects of big data management include integration, manipulation, quality control and security of large datasets.
Smartphone and tablet apps for people with disabilities jemsshep07
This presentation explains assistive technology, accessibility and universal design with regard to smartphones and tablets. It also presents a list of recommended apps for case managers and people with disabilities.
Paragraph Writing In 1St And 2Nd Grade - The Brown BaStephanie King
1. A man's diet can significantly impact his fertility and chances of conceiving a child with his partner. Key factors like sex drive, sperm count, and sperm health are influenced by nutrition.
2. It takes 12-14 weeks for sperm to fully mature, so a man's overall health and diet for months prior to conception is important.
3. Zinc is particularly crucial as it plays an important role in sperm production, quality and mobility. Eating a diet rich in zinc can help boost a man's fertility.
This document discusses strategies for making free and open source software profitable, including:
- Earning money through customization services, support contracts, documentation/training, and paid plugins/versions while the core software remains free.
- Gaining funding from organizations, donations, ads, university partnerships, and corporate customers interested in the software.
- Releasing often with detailed changelogs and high quality documentation to build a user base and gain feedback to improve the software.
Mideesh P is seeking a challenging career where he can enhance his skills in areas like Android development, Java, SQL, and other technologies. He has over 5 years of experience as a software engineer developing Android and web applications. Some of his projects include apps for online petitions, bartering marketplace, event bidding, and a liquor outlet finder. He is proficient in languages like Java, Android and frameworks like PhoneGap. Mideesh holds a B.Tech in computer science and has participated in academic and extracurricular activities.
This document summarizes Carolyn Jao's experience as a UX designer. It includes descriptions of various projects she has worked on, such as designing an emergency alert system for the Oscar Health app and a video uploader feature for Twitch. For each project, it provides details on her role, the design process undertaken, including user research, prototyping, and testing. The document demonstrates Carolyn's breadth of experience across different domains and emphasis on user-centered design.
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This document outlines a six-step framework for growing a career as a freelance educator. The steps are: 1) Embrace the ethos of the bottom-up, user-generated web; 2) Leverage digital skills like risk-taking, emergence, and systems thinking; 3) Find a niche project that combines one's interests and market needs; 4) Build an online platform through social media engagement; 5) Equip one's toolbox with synchronous and asynchronous teaching tools; and 6) Build an authentic community through responsive communication. Examples are provided of educators who have successfully applied this framework.
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This document provides a literature review on voice assistance technologies. It discusses several papers on developing voice assistants using technologies like Python, artificial intelligence, text-to-speech, speech recognition and voice recognition to help users perform tasks with only voice. The review covers applications of voice assistants for personal use, the blind, home automation, programming and more. Overall, the literature aims to explore how voice assistants can provide hands-free experiences and automate tasks for users.
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Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
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Software Agents for Internet of Things - at AINL 2014
1. Software Agents for
Internet of Things
Find and Share
Your self with Peer
AIGENTS.COM
AINL-2014, Anton Kolonin, Aigents Group 1
2. Smart Things and Human Beings
Human
User
Artificial
Agent
AINL-2014, Anton Kolonin, Aigents Group 2
3. Convergent technological breakthroughs
Internet of Things
Smart
Things
Adaptive Robotics
Things instead of Strings
(Artificial General Intelligence)
(Semantic Web)
AINL-2014, Anton Kolonin, Aigents Group 3
4. Internet of Things – Agents everywhere
Communication cloud
HTTP, email, IRC, SMS, TCP/UDP
(using common language)
AINL-2014, Anton Kolonin, Aigents Group 4
WWW Cloud
Knowledge
base
User
Agent
Collector
Agent
Broker
Agent
Storage
Agent
Actor
Agent
File
systems Input
sensor
Control
device
Search
Agent
Human
User
5. Smart Things and Human Beings:
Possess a proprietary belief as an
internal ontology or a “world view” – as
structured knowledge about environment
including peer things and beings
Capable of adaptive behavior –
experiential self-learning in course of
interaction with environment and other
peers
Communication with peers by means of
“open” (non-protocol) extensible linguistic
interfaces
AINL-2014, Anton Kolonin, Aigents Group 5
6. Proprietary belief as internal ontology
Representing knowledge in graphs – a
semantic database
Support for hyper-graphs – multiple
hierarchical levels of complexity, abstraction
and cross-dependency within single
database
Special representation of time and
analysis of temporal dynamics
Collaborative knowledge acquisition –
determination of truth value with account of
social links and trust levels
AINL-2014, Anton Kolonin, Aigents Group 6
7. Semantic Web - “Things” instead of “Strings”
Google Knowledge Graph/Vault, Google+, Youtube
Google Freebase
Facebook Graph
Others
AINL-2014, Anton Kolonin, Aigents Group 7
Others
8. Recurrent Beliefs – Things think about Things
Cd
Ad Bd
User D
Dc
Ac Bc
User C
Agent A
Da Ba
Agent B
Db Ab
Cb
AINL-2014, Anton Kolonin, Aigents Group 8
Ca
9. Adaptive behavior
Artificial General Intelligence (AGI) – as an
ability to derive a complex proprietary belief
and behavioral schemata corresponding to a
given environment, provided with minimal
“bootstrapping” (“seed”) belief and
schemata.
“Toddler Turing test” - building the world
view and behavioral (conversational for the
given instance) schemata based on self-learning
with experiential feedback from the
environment.
AINL-2014, Anton Kolonin, Aigents Group 9
10. Adaptive Robots around us – allies or opponents
User X
AINL-2014, Anton Kolonin, Aigents Group 10
11. Extensible (non-protocol) linguistic interface
Asynchronous and symmetric
communication protocols
“Open” structure of a language based
on common “foundation ontology”
Partial and probabilistic
comprehension of information out of
scope of “foundation ontology”
Humane communication language
AINL-2014, Anton Kolonin, Aigents Group 11
12. Mixed environment – multiple languages?
Communication
HTTP, E-mail, IRC, SMS, TCP/UDP, voice, ...
Language
Lisp, AIML/XML, RDF/OWL/XML, Turtle,
JSON, Wolfram, Lojban, Human...
AINL-2014, Anton Kolonin, Aigents Group 12
Agent A
Agent B
User C
User D
13. Linguistic gap – best way to fill?
Human
User
Structured
Ontology-based
“Pidgin”?
AINL-2014, Anton Kolonin, Aigents Group 13
Artificial
Agent
Lisp, AIML/XML,
RDF/OWL/XML,
Turtle, JSON
Lojban,
Esperanto,
English
14. Experimental “Aigents Language” - example
My is appliance, agent, thermostat, device.
Device has shape, color, voltage.
Appliance has location.
My shape rectangular, color white, voltage 220, location kitchen.
My feels temperature, humidity, CO2, being.
Temperature, humidity, CO2 is number.
Feeling is good or bad.
My feeling good, temperature 20, humidity 72.
Моя это прибор, агент, термостат, устройство.
Моя иметь форма, цвет, питание.
Моя иметь место.
Моя форма прямоугольный, цвет белый, питание 220, место
кухня.
Температура, влажность, CO2 это число.
Чувстовать это хорошо, плохо.
Моя чувствовать хорошо, температура 20, влажность 72.
AINL-2014, Anton Kolonin, Aigents Group 14
15. “Aigents Language” - comparisons
English
What is your feeling?
If your feeling is good?
Your feeling is good.
Have your feeling good!
Aigents Language
Your feeling?
Your feeling good?
Your feeling good.
Your feeling good!
Aigents Language - written
I (can (eat, sleep), want (dance, sing)).
I {can (eat, sleep), want (dance, sing)}.
I (can {eat, sleep}, want {dance, sing}).
You [eat {rice, meat}, drink {juice, water}]!
Aigents Language
A C (D,E).
A (C D, F G).
A (C (D,E), F (G,H)).
(A,B) C D.
(A,B) (C (D,E), F (G,H)).
Russian (with tonal modulation)
Твое ощущение? (rising tone)
Твое ощущение хорошее? (rising tone)
Твое ощущение хорошее. (neutral tone)
Твое ощущение хорошее! (lowering tone)
Aigents Language - spoken
I can eat and sleep and want dance and sing.
I can eat and sleep or want dance and sing.
I can eat or sleep and want dance or sing.
You eat rice and meat next drink juice and water!
Term logic
A C D. A C E.
A C D. A F G.
A C D. A C E. A F G. A F H.
A C D. B C D.
A C D. A C E. B C D. B C E. A F G. A F H. B F G. B F H.
Turtle
A C D,E.
A C D; F G.
A C D,E; F G,H.
AINL-2014, Anton Kolonin, Aigents Group 15
16. Aigents platform : Value proposition
For clients:
Personal agents of intelligent web search for users;
Federated active search in communities of users.
For businesses and organizations:
Collaborative knowledge discovery and decision making
for corporate users and national/local communities.
For clients:
Personal agents of intelligent web search for users;
Federated active search in communities of users.
For businesses and organizations:
Collaborative knowledge discovery and decision making
for corporate users and national/local communities.
Web & community
User
Get intelligent
and specific
news timely Aigent
Request specific things
of permanent interest
anywhere on the web
and in the community
User
Copyright 2014 Anton Kolonin, Aigents Group 16
User
User
User
17. Aigents platform : Examples
Weather today 32 °F, rainy
Solar flare class M at 5 AM
Weather today $temperature °F, $details
Solar flare class {M, C, X} at $time
Google acquires Jetpac
Apple recently acquired Swell
$acquirer acquires $acquiree
$acquirer acquired $acquiree
User
Lease - Ridge View 15, $2400, 1/12/2013”
Rent, address Way 24, $2100, 15/12/2013”
{Lease, Rent} $address, $price, $date
Copyright 2014 Anton Kolonin, Aigents Group 17
Aigent
Generic
Aigent
Business
Domain
Aigent
Real
Estate
18. Aigents platform : Competitive advantages
Automatic, time-critical updates - personal web crawler, alerts to email/phone
Personalized search experience - customized list of sites and search topics
Social collaboration - sharing news with relatives, friends and colleagues
Semantics extracted from texts – from simple templates to complex patterns
Intelligent trainable software agent - experiential learning by user feedback
Automatic, time-critical updates - personal web crawler, alerts to email/phone
Personalized search experience - customized list of sites and search topics
Social collaboration - sharing news with relatives, friends and colleagues
Semantics extracted from texts – from simple templates to complex patterns
Intelligent trainable software agent - experiential learning by user feedback
Web & community
User
Get intelligent
and specific
news timely Aigent
Request specific things
of permanent interest
anywhere on the web
and in the community
User
Copyright 2014 Anton Kolonin, Aigents Group 18
User
User
User
19. Copyright 2014 Anton Kolonin, Aigents Group 19
Android
Windows/Mac/Linux
Web
Aigents platform : Screen shots
20. Aigents platform : What is inside?
Sites
News
Things
Users
Copyright 2014 Anton Kolonin, Aigents Group 20
21. Aigents platform : Internals and Modalities
Storager
Knowledge
User
Feedback
Sessioner
Siter
Aigents
Language
Writer
AINL-2014, Anton Kolonin, Aigents Group 21
Communicator
Java UI
(Swing)
Emailer
SMTP/POP
Cmdliner
text
SMPPer
SMPP
TCPer
TCP/IP
IRCer
IRC
HTTPer
HTTP(S)
Android UI
Sessions
Sites
Aigents
Language
Reader
User
Login
User
Registrati
on
User
Verification
User
Conversation
User
Logout
User
Verification
Change
User
Email
Change
User
Clarification
User
Confirmation
User
Declaration
User
Interrogation
User
Direction
Conversationer
Selfer Self
Checking
Times
Self
Messaging
News
Self
Reading
Sites
Self
Matching
Topics
Self
Learning
Patterns
Self
Watching
News
Self
Forgetting
Stuff
22. Aigents : Benefactors and Beneficiaries
Consume
Content News
Contribute
Ad News
Copyright 2014 Anton Kolonin, Aigents Group 22
Contribute
Content News
Consume
Ad News
Automatic
Intelligent
Internet
Aigent A Aigents
Aigent B
Aigent C
Aigent D
Aigent X
User A
Benefactors Beneficiaries
User B
User C
User D
23. Aigents Platform : Summary
The Aigents software platform
enables each Internet user to start getting information timely and intelligently,
precisely matching personal preferences and social connections
using a distributed semantic search technology within an ecosystem of
personal devices and peer-to-peer servers hosted by communities and
companies (available as free or premium software packages and service
subscriptions).
The Aigents software platform
enables each Internet user to start getting information timely and intelligently,
precisely matching personal preferences and social connections
using a distributed semantic search technology within an ecosystem of
personal devices and peer-to-peer servers hosted by communities and
companies (available as free or premium software packages and service
subscriptions).
Web & community
User
Get intelligent
and specific
news timely Aigent
Request specific things
of permanent interest
anywhere on the web
and in the community
User
Copyright 2014 Anton Kolonin, Aigents Group 23
User
User
User
24. Aigents : The beginning
Thank you for your attention!
Find and Share
Your self with Peer
AIGENTS.COM
Copyright 2014 Anton Kolonin, Aigents Group 24