Readings in Chance Discovery

3 April 2005 updated

Cover Page Foreword by Randy Goebel

Foreword by David E. Goldberg

Preface by Akinori Abe and Yukio Ohsawa

Part I: Feature of Chance and Chance Discovery
1. Ruediger Oehlmann: Awareness and Implicit Memory in Chance Discovery
2. Ruediger Oehlmann: Evaluating the Meaning of Knowledge-Intensive Chance Discovery
3. Akinori Abe, Chen Kak Toong, Masashi Nakamura, Lim Chee Wooi, Mitsuo Tuskada and Hiroshi Kotera: Finding Chance in Multi-lingual Translation Site
4. Hiroshi Tamura, Tetsuji Hidaka, Tetsuya Oishi and Kazuhiro Kikuma: Preference Mediation Network
5. Penny Baillie-de Byl and Dickson Lukose: Affective Chance Discovery using Emotion Appraisals.
6. Yukio Ohsawa and Yo Nakamura: Eye Movements in Chance Discovery
7. David Bergner: Dialogue Acts in Conversations about Potential Events
8. Sung-Bae Cho and Sang-Jun Han: Computer Security with Domain Knowledge for Discovering Rare Events
9. Naohiro Matsumura and Yukio Ohsawa: The Dynamism of Ni-channel
10. Yoshikiyo Kato and Hiroko Shoji: Semantic Interaction for Concept Articulation
11. Kevin J. Burns: Dealing with TRACS: The Game of Confidence and Consequence
12. Yutaka Matsuo: Mining an Electronic Message Board for Making New Hypotheses.

    Part II: Theoretical Foundations and Models for Chance Discovery

13. Lorenzo Magnani: Epistemic Mediators and Chance Morphodynamics
14. Xiaoping Chen: Cognitive Relevance and Chance Discovery
15. Norihiro Ogata: Towards Dynamic Probabilistic Logic: A Survey and a Proposal.
16. Ronald R. Yager: Possibility Theory in Chance Discovery
17. Shizhuo Zhu, Xiaoping Chen and Chengyu Ji: Integrating L_m4c with Abductive Reasoning for Chance Specification and Chance Discovery Inference
18. Alesh Kubik: Chance Discovery in Emergent Systems

    Part III: Methodologies and Tools for Chance Discovery

19. Mayumi Itakura. Kamata: Requirements Elicitation through Chance Discovery methods
20. Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka: PAI: Assertion Extraction from Context-Transition in a Document
21. Yutaka Matsuo: Finding Meaning of Clusters and Flows
22. Naoaki Okazaki and Yukio Ohsawa: Polaris: An Integrated Data Miner for Chance Discovery
23. Ronald Blue: Slinky Analogy For Panassociative Functions In a HOP Model Diverted Passengers
24. H.M. Hubey: Detection of Chance Events, Real-time Processing of High-dimensional Streaming Data, and Datamining
25. Jose Campos and Antonio Dias de Figueiredo: A Divergent Engine for Serendipity Induction
26. Shigeki Amitani, Mikihiko Mori and Koichi Hori: An Approach to a Knowledge Reconstruction Engine for Supporting Event Planning
27. Yoshikiyo Kato, Takahiro Shirakawa, Kohei Taketa, and Koichi Hori: Managing Risks in Development of Large and Complex Systems by Knowledge Recycling

    Part IV: Applications of Chance Discovery

28. W. L. Tung and C. Quek, and P.Y.K. Cheng: A Neuro-Fuzzy Perspective to Chance Discovery and Its Application to the Study of Banking Failures
29. Takaharu Araki, Naohiro Matsumura, Seiko Niwase, Yukio Ohsawa and Katsutoshi Yada: Chance Discovery from Consumer Research Using KeyGraph
30. Yukio Ohsawa and M. Usui: Workshop with Touchable KeyGraph Activating Textile Market

Contact:
Akinori Abe
ATR Intelligent Robotics & Communication Labs.
2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 JAPAN
E-mail: ave@ultimaVI.arc.net.my