Intelligent Interface Agents for Intelligent Environments Scott M. Brown

AAAI Conferences

The utilization of immersive distributed virtual environments for military training is readily apparent (Stytz 1996; Stytz, Soltz, & Wilson 1996). These virtual environments are capable of simulating thousands of real-world and synthetic components, all interacting in real time. The user must attempt to base decisions on relevant information within the environment. However, due to the dynacism of the environment, information is difficult to locate and short-lived. Current direct manipulation human-computer interfaces are inadequate in these environments.



Are all chatbots intelligent?

#artificialintelligence

Chatbots are a dime a dozen these days and every bot claims to have AI. Everyone seems to have their own definition of AI. What does AI really mean in the context of chatbots and is that the same as machine learning? Traditionally in computer science literature, what we call chatbots today are referred to as "chatterbots". These chatterbots were one of the first problems tackled under the gambit of AI and popularised because of the Turing test.


Distributed Information Retrieval and Integration through a Centralized Agent-base System

AAAI Conferences

Rapid changes have taken place in our world over the ability to retrieve and manipulate data quickly between the different software applications. Information technology is revolutionizing the way we live. Knowledge is power and the ease layer of hidden agency consists of the five supportbased agents: user interface, database, unity, prior-of access to this knowledge makes the manipulation of the data critical. Yet, if one can harness the vast integration of data which flavors the users' knowledge the task that assists in the integration of data and proity, and timephase. Each agent represents a specific end result could somehow satisfy the elusive quest for vides recommendations, based on the users objectives.