Abstract/Description
Electronic negotiations are business negotiations conducted via electronic means using information and communications technologies (ICT). Two dominant types of electronic negotiation systems are automated negotiation systems for software agents and negotiation support systems (NSSs) for humans. However, the integration of two types for human-agent negotiations is an important task. In this paper, an extended communication model for human-agent business negotiations is presented. For this purpose, the underlying communication models of automated negotiations and NSSs are analyzed. The extended communication model is based on a common negotiation ontology which captures the negotiation agenda and paves the way for such hybrid communication, a natural language processing (NLP) component which process natural language negotiation content, and a translator to covert human message to agent message and vice versa. NLP component has been added as an alternative approach to manual annotation of message content. Our aim is to show that using an ontology-based negotiation approach as implemented in the NSS Negoisst and NLP techniques integrated into it can make human-agent communication better.
Keywords
Electronic negotiations, Automated negotiations, Ontologies, Semantic annotation, Natural language processing
Location
Room C5
Session Theme
Artificial Intelligence – I
Session Type
Other
Session Chair
Dr. Sajjad Haider
Start Date
23-7-2011 2:15 PM
End Date
23-7-2011 2:35 PM
Recommended Citation
Rehman, M. u., & Riaz, N. (2011). Artificial Intelligence – I: A preliminary framework for human-agent communication in electronic negotiations. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2011/2011/12
Included in
Artificial Intelligence and Robotics Commons, Digital Communications and Networking Commons, Technology and Innovation Commons
Artificial Intelligence – I: A preliminary framework for human-agent communication in electronic negotiations
Room C5
Electronic negotiations are business negotiations conducted via electronic means using information and communications technologies (ICT). Two dominant types of electronic negotiation systems are automated negotiation systems for software agents and negotiation support systems (NSSs) for humans. However, the integration of two types for human-agent negotiations is an important task. In this paper, an extended communication model for human-agent business negotiations is presented. For this purpose, the underlying communication models of automated negotiations and NSSs are analyzed. The extended communication model is based on a common negotiation ontology which captures the negotiation agenda and paves the way for such hybrid communication, a natural language processing (NLP) component which process natural language negotiation content, and a translator to covert human message to agent message and vice versa. NLP component has been added as an alternative approach to manual annotation of message content. Our aim is to show that using an ontology-based negotiation approach as implemented in the NSS Negoisst and NLP techniques integrated into it can make human-agent communication better.