call neural symbolic processing nips 98 conference workshop part international conference neural information processing systems december 4 5 1998 breckenridge colorado hybrid neural symbolic integration stefan wermter university sunderland uk ron sun university alabama usa description motivation past controversial whether neural symbolic approaches alone sufficient provide general framework intelligent processing recent years field hybrid neural symbolic processing seen remarkable development motivation integration symbolic neural models cognition intelligent behavior comes many different sources perspective cognitive neuroscience symbolic interpretation artificial neural network architecture desirable since brain neuronal structure capability perform symbolic processing leads question different processing mechanisms bridge large gap instance acoustic visual input signals symbolic reasoning instance language processing inferencing etc perspective knowledgebased processing hybrid neural symbolic representations advantageous since different mutually complementary properties integrated symbolic representations advantages respect easy interpretation explicit control fast initial coding dynamic variable binding knowledge abstraction hand neural representations show advantages gradual analog plausibility learning robust faulttolerant processing generalization similar input since advantages mutually complementary hybrid symbolic connectionist architecture useful different processing strategies supported areas interest integration symbolic neural techniques integrating techniques language speech processing integrating different modes reasoning inferencing combining different techniques data mining integration vision language multimedia hybrid techniques knowledge based systems combining fuzzy neuro techniques neural symbolic techniques applications engineering exploratory research emergent symbolic behavior based neural networks interpretation explanation neural networks knowledge extraction neural networks various forms interacting knowledge representations dynamic systems recurrent networks evolutionary techniques cognitive tasks language reasoning etc autonomous learning systems cognitive agents utilize neural symbolic learning techniques format workshop provide forum presenting discussing theory practice neural symbolic integration format consist position statements panel group discussion individual paper presentations intend reserve significant portion time open discussion proposed length workshop two days suggested panels 1 connectionist models language vision inferencing principles neural symbolic representation 2 hybrid neural models new media multimedia web searching digital libraries etc impact hybrid techniques future submission intended publish results workshop either book springer via special issue journal invite papers take two forms short position papers around 4 pages full papers 12 pages intend process submissions electronically please postscript file via ftp see paper format compatible latex article format 11pt 12 pages maximum including title address email address abstract figures references notifications sent email first author postscript files uploaded anonymous ftp please send notification message stefan wermter sunderland ac uk ftp isis sunderland ac uk 157 228 12 13 login anonymous password email address cd pub wermter binary put yourfile ps yourfile ps gz quit paper must arrive later 25th september 1998 address submission deadline 25th september 1998 update invited speakers panel information please see http osiris sunderland ac uk cs0stw wermter workshops nipsworkshop html please send correspondence nips workshop contact professor stefan wermter research chair intelligent systems university sunderland school computing information systems st peters way sunderland sr6 0dd united kingdom phone 44 191 515 3279 fax 44 191 515 2781 email stefan wermter sunderland ac uk http osiris sunderland ac uk cs0stw