Argumentation allows agents to exchange
additional information to argue about their beliefs
and other mental attitudes during the negotiation
process. Utterances and subsequent observations
may differ during argumentation due to the gap in
internal and external information with other agent.
Contextual information is one reason of deviation
between utterance and subsequent observations.
Historic dialogues are a key source for extracting
contextual information regarding illocutions, ontological category or semantically similar category.
How historical dialogues contribute to contextual
information during argument generation, selection
and evaluation process is crucial to modeling the
commonsense that human being apply in managing
dialogues. Identifying, managing and augmenting
contextual information and use that information in
agent dialogue requires attention to several dimensions, e.g., illocution, interaction protocol, ontology,
context, contract etc. which is an important problem
in electronic market research area. This paper
presents an approach for extraction of argumentation context from historical dialogues between
intelligent agents in e-market. We are developing
an argumentation system to extract context from
historical dialogue and exploit context for dialogue
moves between agents. An agent architecture using
context monitor, context network, context miner is
presented for argumentation context mining.
|Cite as: Islam, K.S. (2007). An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario. In Proc. 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia. CRPIT, 84. Ong, K.-L., Li, W. and Gao, J., Eds. ACS. 73-83. |