profile or closely-related profile or who had made similar research. 

## 4.1 Application Of Intelligent Agents

The prediction 'Agent-based computing (ABC) is likely to be the next significant breakthrough in software development' (Sargent, 1992), can be well said to be true today considering the present methods being used in software development. We can adapt newer developments in LEXSYS in this direction. It is believed that agency approach to its development will give it a significant uplift. First, the use of LEXSYS requires agronomic, economic and farming knowledge (Weber G.K et al). This implies that it requires substantial amount of inputs from the user and researcher from the field. Secondly, it is user-dependent. This implies that user's profile can be of significant importance in its relevancy. Previous versions generally do not reference user's profile when selection is made on leguminous crops for any of the five categories of selection. Every run is a fresh request for user's intentions. At the close of program, when the program is terminated, the system removes all the temporary files that were used in making decisions including selection lists. This implies that (a) the cumulative attitude of the user is not considered while executing the program (b) user's interest can not evolve. An intelligent agent if integrated to this system will enhance its usefulness in several ways. Among these are: 
- **It should provide possible framework for system performance analysis** - **It should provide way of accessing improvements to be made in future version** - **It should improve "run time" access** 
Three ways of incorporating agents into an application was suggested by Mohammadian M. (Mohammadian, 99). (a) The agents is integrated as part of the application (b) The agent is separated from the application and it has extensive domain specific information about the application (c) The agent can learn the user's preferences based on his responses. Incorporating intelligent agent will not only manage the user's profile but assist in rapid information retrieval. 

Intelligent agent application in LEXSYS is being proposed because of the following properties of intelligent agents 
- *Taskable.* **The intelligent agent can take task and command from human or other agents** 
- *Semi-autonomous.* **Intelligent agents can act on their own without intervention from** 
humans 
- *Persistent.* **Activities of intelligent agents can take place for long period without attention** - *Reliable.* **Intelligent agent can repeat the same activity with the same level of accuracy** 
over and over again 
- *Active.* **An agent should anticipate and act appropriately on behalf of users** 
- *Collaborative.* **Agent can collaborate with human or with other agents. This enables it to** 
increases their local knowledge, resolve problems and inconsistencies. In effect improves its decision support capabilities. 

- *Adaptive.* **It adapt to changing user's need and task environment.** 
LEXSYS can be considered as a simple information retrieval systems without a feedback possibility. The power of LEXSYS should be extended if some or all of the following areas are addressed 
- **Databases** 
o **Legume Database** 
 There are just 123 items in the legume database. The list of legumes in the database is not exclusive. With possible inclusion of collaborative agents, researchers in the fields can of course add to or subtract from the list. An attempt 