With the rapid increase in the number of bots every day it is critical to know their classifications. It will enable choosing the right bot or intelligent Chatbot — their classification into various types of bots. But the truth is the classification of bots is arbitrary.
All the classifications including the ones given below enable understanding the bot types. The classifications are on purpose, domain, good, bad or the most critical intelligence. Only by knowing the difference between bots will enable them to choose the intelligent Chatbot.
There are many predictions for the number of bot categories — personal definitions impacting classifications in the two bot directories, Botlist and Chatbottle. Botlist cites a particular bot category as one of the largest groups of Facebook Messenger tools. It is just the opposite of what Chatbottle states that person is of the smallest types.
But all agree that Eliza is the godmother of all bots. There are also bad bots that gain prominence in the search for bots. Hence to throw light to find the right, smart or intelligent but the bots vary in the following manner.
Good Bots
It is always better to start well. Hence the good bots are the first classification which includes:
- Chatbots
- Crawlers
- Transactional bots
- Informational bots
- Entertainment bots
- Art bots
- Game Bots
Chatbots
Mostly all bots nowadays are Chatbots if they automate for conversational capabilities. It is rules and sometimes AI powering service to interact with or through a chat interface. The service could be ranging from fun to functional. The chat product could be the following or even beyond it. The Chatbot Guide can help you to understand this concept in a better way.
- Facebook messenger
- Websites
- Mobile apps
- Text messages
- Messaging applications
- Telephone
- Slack
- Telegram
Bad Bots
Bad bots are the bad boys of the bot development and used for all the wrong purposes.
They include:
- Hackers
- Spammers
- Scrapers
- Impersonators
Google has confirmed more than 180% more sites hacked in 2015 than 2014. These bad Chatots do a lot of destructive activities including:
- Distribute malware
- Deceive individual people
- Attack websites and in some rare cases the whole networks
- Inject codes into the victim's site by exploiting security vulnerabilities
- Create DDoS or distributed denial of services
- Creates Zombies by affecting individual computers
- Creates Botnets of a network of infected computers
- Scraper bots steal content like email addresses, images, text, and others from websites.
- Remixes scraped content are back as published pages to capture by specific keywords. It enables human visitors for monetizing through advertising.
- Spambots post crappy promotional content to drive traffic to the spammer's website.
- Impersonators with propaganda tools to sway political opinion either way. It happens by drowning views and also mimics natural user characteristics hard to identify.
Chit-chat VS Task-Oriented Chatbots
Chit chat is for only maintaining conversations that are interesting, creative or fun. Chit chat focuses more on the generative aspect of the conversation, but task-oriented Chatbot is for specific scenarios. It includes placing orders, scheduling events, and also helping with troubleshooting.
The task-oriented offer customer support and are personal assistants to help users achieve a specific task. Tech giants offer may frameworks to build this kind of Chatbot for customized needs. It can easily integrate with other services and devices like cloud platforms or messenger apps.
The benefits of using these frameworks are vast and necessary to obtain an MVP or minimum viable product. That too without AI knowledge Chatbots can design to fit specific domains. Some are available for free in multiple languages and easy to integrate with already existing services.
When the conversation attains individual states, it provides an interface for customizing a set of intents, entities, and actions. It is a tool for testing newly developed bots.
The Most Famous Such Platforms to Build Bots from Scratch Include
- Google's Dialog flow
- Amazon Alexa
- Microsoft's Bot framework
- Facebook's Wit
- IBM's Watson Assistant tool
- Open-Domain VS Closed-Domain Chatbots
This classification on the kind of information the Chatbots provide. The designing of open domains is to retrieve all types of information for the questions asked. It plays the part of a conversational agent for each search. Due to language versatility, these bots lack perfection.
Closed domain agents or Domain Specific provide answers for narrow scenarios. These Chatbots perform well in real environments.
Generalist bots VS Specialist Bots
Generalist bots are the ones created by Tech giants, and small players or individuals create specialist bots. The generalist will take into account the future of and have an important role to play. The specialist bots accomplish a lot of valuable tasks by providing domain-specific knowledge.
Rule-Based VS Self Learning Chatbots
Rule-based bots answers questions based on simple rules for which training fails in complex ones. The self-learning bots use machine learning approaches and are effective than rule-based bots. They further classified into two types of Retrieval based and Generative.
Retrieval based Chatbots use heuristic way of approach to identify responses. Generative bots generate answers not only based on the previous set of solutions. They are more intelligent to take word by word from the query to create responses.
Script bots VS Smart Bots or Intelligent Agents
This classification is on the bot intelligence continuum. Many bots are primarily dependent on AI and ML, But the general perception is bots + AI = intelligent bots. But it is not valid. But it is not the case. Bots existing along a continuum differentiates as Script bots and Intelligent agents.
At the simple end of the continuum are the Script bots and at the sophisticated end are the intelligent agents also known as Cutting Edge Bots in the graphic. The script bots are the most straightforward bots with a predetermined model or script. It determines the action of the bot.
NLP-Based Chatbot Services on the front end of interaction will have language as a real problem. It happens when people goof script and customer interactions fail. Hence the need for intelligent bots in place of script bots arises.
Smart Bots
Bots with a significant server-side processing component allow access to massive computing power. Coupled with the open sourcing of AI software libraries there can be some fantastic human-bot interactions. It will enable the communications to hand over to human agents also.
Intelligent Agents
The difference between smart agents and intelligent bots is intelligent agents are autonomous. It is an ill-assorted collection or kludge of all customers facing AI technology. It is a space that is highly diverse, rapid and accelerating. If operated correctly they do not need human intervention.
Helpers VS Collectors
Helper Chatbots help in doing something and collectors collect information from everything. Helpers tend to be much more intelligent to interpret conversations and fulfill the task. Most of the day to day useful bots come under the helper's category and also act as personal assistants.
Collector bots lead the conversation, unlike helpers which listen and help to do something. Since they lead conversations, they do not respond to any questions asked. It makes them unintelligent when compared to helpers. But they are the critical components of an intelligent platform.
Conclusion
Here, we have to try to provide you with an in-depth guide on various type of Chatbots. It will help Chatbot Development Company in your future Chatbot projects.
If you still have any question or suggestion related to this blog, then feel free to ask them in our comment section. Thank You.!
No comments:
Post a Comment