Businesses have a rich but complex landscape of AI agent options, ranging from simple task-specific automation tools to sophisticated multi-purpose assistants that can transform entire workflows. The choice or development of an AI agent depends on several factors—including technical complexity, implement...
We describe three instances where human performance modeling technology is being used to solve problems of high interest to the Air Force.doi:10.1177/154193120004400651Michael J. YoungSAGE PublicationsProceedings of the Human Factors and Ergonomics Society Annual Meeting...
A cautionary model-based reflex agent is a variant of a model-based reflex agent that also considers the possible consequences of its actions before executing them. How does it work? A model-based reflex agent follows the condition-action rule, which specifies the appropriate action to take in ...
likeAgentforce, and rely onmachine learningandnatural language processing (NLP)to handle a wide range of tasks. These intelligent agents can include anything from answering simple questions to resolving complex
The backbone of any AI agent is the large language model (LLM). Hence, the accuracy of the response and intelligent behaviour of the overall agents directly depend on the richness of the data on which the LLM was trained. The Agents may become highly biased if the LLM in the backend is...
The representation of goals and the ability to reason about them play an important role in goal-oriented requirements analysis and modelling techniques, es... V Morreale,S Bonura,G Francaviglia,... - IEEE/WIC/ACM International Conference on Intelligent Agent Technology 被引量: 29发表: 2006年 ...
Types of AI sales agents There are two main types of AI sales agents: Autonomous agents:Agents that act independently of human input, based on available data, workflows, and intelligent reasoning. For example, asales development representative (SDR)agent might support reps by autonomously engaging ...
In face-to-face conversations, speakers are continuously checking whether the listener is engaged in the conversation by monitoring the partner's eye-gaze behaviors. The goal of this study is to build an intelligent conversational agent that can recognize user's engagement from multiple types of ey...
An AI agent is a highly efficient, intelligent virtual assistant that autonomously performs tasks by leveragingartificial intelligence. It is designed to sense its environment, interpret data, make informed decisions, and execute actions to achieve predefined objectives. ...
There are different industries that have their vision of building intelligent robots using AI and Machine learning technology. Text Mining Text-mining, one of the great applications of NLP, is now being implemented with the help of Reinforcement Learning by Salesforce company. Advantages and ...