Ya’akov Gal September 15, 2016

CURRICULUM VITAE AND LIST OF PUBLICATIONS

• Personal Details

Name: Ya’akov Gal

Dept. of Information Systems Engineering

Ben-Gurion University

web:http://www.eecs.harvard.edu/~gal

email:kobig@bgu.ac.il

• Education

B.Sc. - 1996-2000 – Bar Ilan University – Computer Science, Summa Cum

Laude

Ph.D - 2000-2006 – Harvard University – Computer Science

Advisor: Avi Pfeffer

Thesis title: Reasoning about Rationality and Beliefs

• Employment History

2013-present Senior Lecturer, Department of Software Engineering and Information Systems

Engineering, Ben-Gurion University of the Negev.

2009- 2013 Lecturer, Department of Software Engineering and Information Systems

Engineering, Ben-Gurion University of the Negev.

2

2009- present Associate, School of Engineering and Applied Sciences. Harvard University

2006-2009 Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory,

Massachusetts Institute of Technology, and

School of Engineering and Applied Sciences. Harvard University

1995-2000 Programmer. Systems Programmers' Ltd. (SPL) World Group, Or Yehuda,

Israel.

• Educational activities

(a) Courses taught

1. Decision Support Systems – graduate course – Ben-Gurion University, 2011-2014.

2. Introduction to Probability – undergraduate course – Ben-Gurion University, 2010-2015.

Average student evaluation 4.3/5

3. Regression Analysis – undergraduate course- Ben-Gurion University, 2010, 2009.

Average student evaluation 4.4/5

4. Decision Making Models –undergraduate course – Ben-Gurion University, 2009.

Average student evaluation 4.7/5

5. Man and Technology – advanced undergraduate - University of Haifa (co-instructed with

IritHadar), 2008.

6. Multi-Agent Systems – graduate course – Harvard University (co-instructed with Sevan Ficici),

2008.

(b) Research students

• Graduated:

1. 2015 – Yossi Ben David– MSc - Ben-Gurion University. Thesis topic: Sequencing Educational

Content using Bayesian Knowledge Tracing.

3

2. 2015 – Maor Tal– MSc - Ben-Gurion University. Thesis topic: Analysis of Human Voting

Behavior in Online Voting Systems.

3. 2015– Mattan Lebovich – MSc – Open University. Co advised with Anat Lerner. Thesis topic:

Information Aggregation in Networks.

4. 2014 – Noam Peled – PhD – Bar Ilan University (joint with Prof. Sarit Kraus). Thesis topic:

Information Revelation in Human-Computer Decision-Making.

5. 2013 – Or Seri – MSc – Ben Gurion University. Thesis topic: The effects of visualizing

students’ activities with educational software on their learning and performance.

6. 2013 – Litan Ilany – MSc - Ben-Gurion University. Thesis topic: Algorithm Selection for

Negotiation in Peer Designed Agents.

7. 2013 – Oriel Ozan – MSc - Ben-Gurion University. Thesis topic: Individual and aggregate

analysis of users’ activities with open-ended software.

8. 2011 – Ofra Amir – MSc – Ben-Gurion University. Thesis topic: Plan Recognition and

Information Visualization in Virtual Laboratories.

9. 2012 – Yaniv Mazliah – MSc –Ben-Gurion University. Thesis topic: Coordination and

cooperation in human-computer decision-making.

10. 2010 – Dwight Bell – MA – Harvard University. Thesis topic: Fast Track Massively Parallel

Programming Techniques Applied to Reinforcement Learning Algorithms

• Current:

1. 2018 (expected) – Reuth Mirsky – PhD – Ben-Gurion University. Thesis topic: On line plan

recognition for exploratory domains.

2. 2018 (expected) – Avi Segal – PhD – Ben-Gurion University. Thesis topic: Adaptation and

incentive design in large-scale task systems.

3. 2018 (expected) – Moshik Mash – PhD – Ben-Gurion University. Thesis topic: Fair division

algorithms in the real world.

4. 2017 (expected) – Eran Yogev – MSc - Ben-Gurion University. Thesis topic: Modeling student

behavior in on line forums.

5. 2017 (expedcted) Haviv Herscovits. MSc - Ben-Gurion University. Thesis topic: Modeling

student engagement in e-learning systems.

• Awards, Citations, Honors, Fellowships

4

(a) Honors, Citation Awards (including during studies)

1. ACM conference on economics and computation, 2016, Best paper award.

2. Best student paper co-author, Educational Data Mining (EDM) conference, 2014

3. 2013 – The Wolf Foundation Krill Prize for excellence in scientific research among Israeli

scientists.

4. 2010 – Outstanding teacher, faculty of engineering sciences, Ben-Gurion University.

5. 2002, 2004 - Harvard University, Derek Bok Teaching Fellow Certificate of Distinction,

6. 2004 – Harvard University - Outstanding Teaching Fellow Award, 2004.

7. 2003 - Autonomous Agents and Multi-Agent Systems Conference, Best student paper

nominee.

(b) Fellowships

1. 2000 – Fulbright – PhD scholarship (declined)

2. 2003 – Rothschild foundation Graduate student fellowship

• Professional Activities

(a) Positions in academic administration

1. 2012 – present Chair, Teaching Committee of the Undergraduate Program. Department of the

Information Systems Department, Ben-Gurion University.

2. 2011- 2012 Member of the Teaching Committee of the Undergraduate Program. Department

of the Information Systems Department, Ben-Gurion University.

5

3. 2011 – present Accompanying faculty in charge of math and science courses for students of the

Information Systems and Software Engineering Departments, Ben-Gurion University.

4. 2010 – present Organizer of the colloquium for the Artificial Intelligence group at Ben-Gurion

University.

5. 2010 – 2012 Organizer of the colloquium for the Decision Making and Economical

Psychology group at BGU.

(b) functions outside universities/institutions

1. Editorial Board member, Journal of Artificial Intelligence Research (JAIR), 2016.

2. Program committee member, Learning at Scale (L@S) 2016.

3. Program committee member, International Conference of the Association for Advancement of

Artificial Intelligence (AAAI), 2015.

4. Program Committee member. International Conference on Autonomous Agents and Multi-

Agent Systems (AAMAS), 2010, 2011.

5. Program Committee member: Conference on Uncertainty in Artificial Intelligence (UAI), 2011.

6. Program Committee member: The First SIGAI Career Network Conference (CNC), 2015.

7. Program Committee member: International Joint Conference of Artificial Intelligence (IJCAI),

2011, 2005.

8. Senior Program Committee member: International Joint Conference of Artificial Intelligence

(IJCAI), 2016.

9. Senior program committee member, International Conference of the Association for Advancement

of Artificial Intelligence (AAAI), 2014, 2016.

10. Senior Program Committee Member. International Conference on Autonomous Agents and Multi-

Agent Systems (AAMAS), 2012, 2014, 2016, 2017.

6

11. Doctoral Consortium Co-chair. International Conference on Autonomous Agents and Multi-

Agent Systems (AAMAS), 2011, 2105.

12. Senior Program Committee member – Blue Sky Ideas track. . International Conference on

Autonomous Agents and Multi-Agent Systems (AAMAS), 2017.

13. Co-organizer. International Workshop on Human-Agent Interaction Design and Models (HAIDM),

2012, 2013, 2014, 2015, 2016.

14. Reviewer. Journal of Autonomous Agents and Multi-agent Systems (JAAMAS), 2005, 2007, 2008,

2010, 2011, 2012, 2013, 2014, 2015, 2016.

15. Reviewer. Journal of Artificial Intelligence. 2016.

16. Reviewer. Journal of Organizational Behavior, 2012

17. Reviewer. ACM Computing Surveys journal, 2012.

18. Reviewer. Demonstration program. International Conference on Autonomous Agents and Multi-

Agent Systems (AAMAS), 2012,

19. Referee. Netherlands Organization for Scientific Research (NOW), 2011.

20. Reviewer. IEEE Intelligent Systems, 2009.

7

• Scientific Publications (* indicated publications since last promotion; students are underlined;

** indicates publications with students)

H-Index (google scholar):18. ISI H-index: 7

(c) Chapters in collective volumes - Conference proceedings

1. Ya'akov Gal and Avi Pfeffer A Language for Modeling Agents' Decision Making Processes in

Games Second International Joint Conference on Autonomous Agents and Multi-Agent

Systems (AAMAS), Melbourne Australia, July 2003. (Best Student Paper award nominee)

(acceptance rate 24%)

2. Ya'akov Gal, Avi Pfeffer Reasoning about Rationality and Beliefs Third International Joint

Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), New York, July 2004.

(acceptance rate 24%)

3. Francesca Marzo, Ya'akov Gal, Barbara Grosz and Avi Pfeffer Social Preferences in Relational

Contexts IV Conference in Collective Intentionality. Siena. Italy, October 2004.

4. Ya'akov Gal, Avi Pfeffer, Francesca Marzo, Barbara J. Grosz Learning Social Preferences in Games

National Conference on Artificial Intelligence (AAAI), San Jose, California, July 2004. (acceptance

rate 26%)

5. Shavit Talman, Ya'akov Gal, Meirav Hadad and Sarit Kraus. Adapting to Agents' Personalities in

Negotiation Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems

(AAMAS), Utrecht, the Netherlands, July 2005. (acceptance rate 23%)

6. Ya'akov Gal and Avi Pfeffer. Predicting People's Bidding Behavior in Negotiation Fifth International

Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Hakodate, Japan, May

2006. (acceptance rate 23%).

7. Avi Pfeffer and Ya'akov Gal. On Reasoning Processes in Games National Conference on Artificial

Intelligence (AAAI),Vancouver, British Columbia, July 2007. (acceptance rate 27%).

8

8. Ya'akov Gal and Avi Pfeffer Modeling Reciprocity in Human Bilateral Negotiation National

Conference on Artificial Intelligence (AAAI),Vancouver, British Columbia, July 2007. (acceptance

rate 27%).

9. Ya'akov Gal, Barbara J. Grosz, Avi Pfeffer and Stuart Shieber. The Influence of Task Contexts on the

Decision-making of Humans and Computers Proceedings of the Sixth International Interdisciplinary

Conference on Modeling and Using Context (CONTEXT), Roskilde University, Denmark, August

2007. (acceptance rate 22%).

10. Ya'akov Gal, Elif Yamangil, Andee Rubin, Stuart Shieber and Barbara J. Grosz. Towards

Collaborative Intelligent Tutors: Automated Recognition of Users' Strategies Proceedings of the

Ninth International Conference on Intelligent Tutoring Systems (ITS), Montreal, Quebec, June 2008.

(acceptance rate 32%).

11. Swapna Reddy, Ya'akov Gal and Stuart Shieber. Recognition of Users' Activities using Constraint

Satisfaction. Proceedings of the Seventeenth international conference on User Modeling, Adaptation

and Personalization. Trento, Italy, June 2009.

12. Ya'akov Gal, Sohan D'souza, Philippe Pasquier, Iyad Rahwan and Sherief Abdallah. The Effects of

Goal Revelation on Computer-Mediated Negotiation. Proceedings of the Annual Meeting of the

Cognitive Science Society (CogSci), Amsterdam, the Netherlands, July 2009. (acceptance rate 32%)

13. Philip Hendrix, Ya'akov Gal and Avi Pfeffer. Learning Whom to Trust: Using Graphical Models for

Learning about Information Providers. Seventh International Conference on Autonomous Agents and

Multi-Agent Systems, (AAMAS) Budapest, Hungary, May 2009 (Short Paper, acceptance rate

21%)

14. Ece Kamar, Ya'akov Gal and Barbara Grosz. Incorporating Helpful Behavior into Collaborative

Planning. Seventh International Conference on Autonomous Agents and Multi-Agent Systems

(AAMAS), Budapest, Hungary, May 2009. (acceptance rate 21%)

15. Philip Hendrix, Ya'akov Gal, Avi Pfeffer. Using Hierarchical Bayesian Models to Learn about

Reputation. Symposium on Social Intelligence and Networking. IEEE Conference on Social

Computing. August 2009, Vancouver, British Columbia. (acceptance rate 20%)

9

16. Ece Kamar, Ya'akov Gal and Barbara Grosz. Modeling User Perception of Interaction Opportunities

for Effective Teamwork. Symposium on Social Intelligence and Networking. IEEE Conference on

Social Computing. August 2009, Vancouver, British Columbia. (acceptance rate 20%)

17. Raz Lin, Sarit Kraus, Yinon Oshrat and Ya'akov Gal. Facilitating the Evaluation of Automated

Negotiators using Peer Designed Agents. National Conference on Artificial Intelligence (AAAI),

Atlanta GA, July 2010. (acceptance rate 27%)

18. Noam Peled, Ya'akov Gal, Sarit Kraus. A Study of Computational and Human Strategies in

Revelation Games. Ninth International Conference on Autonomous Agents and Multi-Agent Systems

(AAMAS), Taipei, Taiwan, May 2011. (acceptance rate 22%)

19. Steven de Jong, Daniel Hennes, Ya'akov Gal, Karl Tuyls. Meta-Strategies in the Colored Trails

Game. Ninth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS),

Taipei, Taiwan, May 2011. (acceptance rate 22%)

20. Ofra Amir and Ya'akov Gal. Plan Recognition in Virtual Laboratories. International Joint Conference

on Artificial Intelligence (IJCAI). Barcelona, Spain, July 2011. (acceptance rate 19%)

21. Galit Haim, Ya'akov Gal, Sarit Kraus and Michele J. Gelfand. A Cultural Sensitive Agent for

Human-Computer Negotiation. Tenth International Conference on Autonomous Agents and Multi-

Agent Systems (AAMAS), Valencia Spain, June 2012. (acceptance rate 20%)

22. Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman. Ya'akov Gal. Strategic Advice

Provision in Repeated Human-Agent Interactions. National Conference on Artificial Intelligence

(AAAI), Toronto Canada, July 2012. (acceptance rate 26%)

23. ** Oriel Uzan, Reuth Peled, Ya'akov Gal. Plan Recognition for ELEs using Interleaved Temporal

Search. International Conference on Artificial Intelligence in Education (AIED), Memphis TN, July

2013. (acceptance rate 28%)

24. ** Litan Ilany, Ya'akov Gal. Algorithm Selection in Bilateral Negotiation. National Conference on

Artificial Intelligence (AAAI), Bellevue, WA, July 2013. (Late breaking paper.) (acceptance rate

23%)

10

25. * Noam Peled, Ya'akov Gal, Sarit Kraus. An Agent Design for Repeated Negotiation and

Information Revelation with People. National Conference on Artificial Intelligence

(AAAI), Bellevue, WA, July 2013. (acceptance rate 23%)

26. * Moshe Bitan, Ya'akov Gal, Sarit Kraus, Elad Dokow, Amos Azaria. Social Rankings in Human-

Computer Committees. National Conference on Artificial Intelligence (AAAI), Bellevue, WA, July

2013.(acceptance rate 23%)

27. * Ofra Amir, Yuval Shahar, Ya'akov Gal and Litan Ilany. On the Verification Complexity of Group

Decision-Making Tasks. Conference on Human Computation and Crowdsourcing, Palm Springs,

CA, November 2013.

28. ** Or Seri and Ya’akov Gal. Visualizing Expert Solutions in Exploratory Learning

Environments using Plan Recognition. Conference on Intelligent User Interfaces, Haifa, Israel.

February 2014. (acceptance rate 24%)

29. * Ya'akov Gal, Avi Rosenfeld, Sarit Kraus, Michele Gelfand, Bo An and Jun Lin. A new paradigm for the study of corruption across cultures. International Conference on Social Computing,

Behavioral-Cultural Modeling, & Prediction (SBP), Maryland, MD, April 2014.

30. * Avi Segal, Ziv Katzir, Ya'akov Gal, Guy Shani and Bracha Shapira. EduRank: A Collaborative

Filtering Approach to Personalization in E-learning. Seventh International Conference on

Educational Data Mining (EDM 2014), London, England, July 2014. ** winner of best student paper award ** (acceptance rate 22%)

31. * Galit Haim, Ya'akov Gal, Sarit Kraus and Bo An. Equilibrium Strategies for Human-Computer

Negotiation in 3-player Market Settings. Twenty First European Conference on AI (ECAI 2014),

Prague, Czech Republic, August 2014.

32. * Maor Tal, Reshef Meir, Ya'akov Gal. A study of human strategic behavior in online

voting. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS),

Istanbul, Turkey, May 2015. (acceptance rate 23%)

33. * Avi Segal, Robert J. Simpson, Ya'akov Gal, Victoria Homsy, Mark Hartswood, Kevin R. Page and Marina Jirotka. Improving Productivity in Citizen Science through Controlled

11

Intervention. The International World Wide Web Conference (WWW), Florence, Italy, May 2015. (acceptance rate 23%)

34. * Willian M. P. Reis, Levis Lellis, Ya'akov Gal. Human Computation for Procedural Content Generation in Platform Games. IEEE Conference on Computational Intelligence and Games, Tainan, Taiwan, September, 2015.

35. ** Yossi Ben-David, Avi Segal, Ya'akov Gal. Sequencing Educational Content in

Classrooms using Bayesian Knowledge Tracing. Learning Analytics and Knowledge Conference, Edinburgh, U.K., April, 2015. (acceptance rate 24%)

36. * Reuth Mirsky, Roni Stern, Ya'akov Gal and Meir Kalech. Sequential Plan

Recognition. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Singapore, May 2016. [short paper]

37. ** Reuth Mirsky, Ya'akov Gal. SLIM: Semi-Lazy Inference Mechanism for Plan Recognition. International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, July 2016. (acceptance rate 22%)

38. * Reuth Mirsky, Ya'akov Gal, Roni Stern, Meir Kalech. Sequential Plan Recognition. International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, July 2016. (acceptance rate 22%)

39. * Avi Segal, Ya'akov Gal, Ece Kamar, Eric Horvitz, Alex Bower, Grant Miller. Intervention Strategies for Increasing Engagement in Volunteer-Based Crowdsourcing. International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, July 2016. (acceptance rate 22%)

40. * Ya'akov Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick. Which Is the Fairest (Rent Division) of

Them All? ACM Conference on Economics and Computation (EC), July 2016, Maastricht, The

Netherlands. (acceptance rate 33%) ** winner of best paper award **

(d) Refereed articles and refereed letters in scientific journals (ISI impact factor and Quartile specified

when available).

1. Meirav Hadad, Sarit Kraus, Ya'akov Gal and Raz Lin. Temporal Reasoning for a

Collaborative Planning Agent in a Dynamic Environment, Annals of Mathematics and Artificial

Intelligence 37(4): 331-379, 2003. (ISI 2010 Impact factor 0.59), Q4.

12

2. Ya'akov Gal and Avi Pfeffer Networks of Influence Diagrams: Reasoning About

Agents' Beliefs and Decision-Making Processes Journal of Artificial Intelligence Research

(JAIR) 33:109-147, 2008. (ISI 2010 Impact factor 1.69), Q2. . Number of citations in ISI: 5

3. Ya'akov Gal, Barbara Grosz, Sarit Kraus, Avi Pfeffer and Stuart Shieber. Agent

Decision-Making in Open Mixed Networks, Artificial Intelligence Journal (AIJ) 174(18):1460-

1480, 2010. (ISI 2010 Impact factor 2.51), Q1. Number of citations in ISI: 4

4. Ya'akov Gal, Sarit Kraus, Michele Gelfand, Hilal Khashan, Elizabeth Salmon.

Negotiating with People across Cultures using an Adaptive Agent. ACM Transactions on

Intelligent Systems and Technology 3(1), Article 8, 2011. Q2.

5. Arlette van Wissen, Ya'akov Gal, Bart Kamphorst, Virginia Dignum. Human-Agent

Team Formation in Dynamic Environments. Computers in Human Behavior 28:23-33, 2012.

(2010 Impact factor 1.86), Q1.

6. Ya'akov Gal, Swapna Reddy, Stuart Shieber, Andee Rubin and Barbara Grosz. Plan

Recognition in Exploratory Domains. Artificial Intelligence Journal (AIJ) 176(1):2270--2290,

2012. (ISI 2010 Impact factor 2.51), Q1.

7. Ofra Amir, David Rand and Ya'akov Gal. Economic games on the Internet: the effect

of $1 stakes. PLoS ONE.7(2), 2012. (ISI 2010 Impact factor 4.35), Q1.Number of citations in

ISI: 1

8. Sohan D’souza, Ya’akov Gal, Philippe Pasquier, Sherief Abdallah, and Iyad Rahwan.

Reasoning about Goal Revelation in Human Negotiation. IEEE Transactions on Intelligent

Systems 28(2) 74-80, 2013, (ISI 2015 Impact factor 3.532, Q1.)

9. Ece Kamar, Ya'akov Gal and Barbara Grosz. Modeling Information Exchange

Opportunities For Effective Human-Computer Teamwork. Artificial Intelligence Journal 195(1)

528-550, 2013. (ISI 2015 Impact factor 3.333, Q1).

10. Shulamit Reches, Ya'akov Gal and Sarit Kraus. Efficiently Gathering Information in

Costly Domains. Decision Support Systems 55(1):326-355, 2013, (ISI 2015 Impact factor

13

2.604, Q1.)

11. Ofra Amir and Ya’akov Gal. Plan Recognition and Visualization in Exploratory

Learning Environments. ACM Transactions on Interactive Intelligent Systems 3 (3) 2013, New

ACM Journal.

12. * Raz Lin, Ya'akov Gal, Sarit Kraus and Yaniv Mazliah. Training with Automated

Agents Improves People’s Behavior in Negotiation and Coordination Tasks. Decision Support

Systems 60: 1–9, 2014 (ISI 2015 Impact factor 2.604, Q1.)

13. * Noam Peled, Ya'akov Gal, Sarit Kraus. A Study of Computational and Human

Strategies in Revelation Games. Journal of Autonomous Agents and Multi-Agent Systems

(JAAMAS), Volume 29, (1): 73-97, 2015, (ISI 2015 Impact factor 1.1417, Q2.)

Important note: This is the most important journal in the multi agent systems community

in AI. The reason for the low impact factor is the reliance on conferences in the computer

science discipline.

14. * Gal, Ya’akov, Oriel Uzan, Robert Belford, Michael Karabinos, and David Yaron.

Making Sense of Students’ Actions in an Open-Ended Virtual Laboratory Environment. Journal

of Chemical Education 92 (4):610-616, 2015, (ISI 2015 Impact factor 1.225, Q3.)

15. *Amos Azaria, Ya’akov (Kobi) Gal, Sarit Kraus, Claudia V, Goldman Strategic.

Advice Provision in Repeated Human-Agent Interactions. Journal of Autonomous Agents and

Multi-Agent Systems (JAAMAS) Volume 30 (1):4-29, 2015, (ISI 2015 Impact factor 1.1417,

Q2.)

Important note: This is the most important journal in the multi agent systems community

in AI. The reason for the low impact factor is the reliance on conferences in the computer

science discipline.

16. ** Oriel Uzan, Reuth Dekel, Or Seri, Ya'akov Gal. Plan Recognition for Exploratory

Learning Environments Using Interleaved Temporal Search. AI Magazine 36(2): 10-21 (2015)

(ISI 2015 Impact Factor 0.6, Q4.)

14

17. * Steven de Jong, Daniel Hennes, Karl Tuyls and Ya'akov Gal. Metastrategies in large

scale bargaining games. ACM Transactions on Intelligent Systems and Technology), 18(3):9,

(ISI 2015 Impact factor 2.414, Q1).

18. ** Litan Ilany and Ya'akov Gal. Algorithm Selection in Bilateral Negotiation. Journal

of Autonomous Agents and Multi-Agent Systems 30(4), 697-723, 2015, (ISI 2015 Impact

factor 1.1417, Q2.)

Important note: This is the most important journal in the multi agent systems community

in AI. The reason for the low impact factor is the reliance on conferences in the computer

science discipline.

19. * Asaf Shabtai, Maya Bercovitch, Lior Rokach, Ya’akov (Kobi) Gal, Yuval Elovici,

Erez Shmueli. Behavioral study of users when interacting with active honeytokens. ACM

Transactions on Information and System Security 18:(3), 2016, (ISI 2015 Impact factor 0.759,

Q3.)

20. * Gavriel D. Kohlberg, Ya’akov (Kobi) Gal, and Anil K. Lalwani. Development of a Low-Cost, Noninvasive, Portable Visual Speech Recognition Program. Annals of Otology, Rhinology & Laryngology [to appear] (ISI 2015 Impact factor 1.171, Q2.)

21. * Elizabeth D. Salmon, Michele J. Gelfand, Hsuchi Ting, Sarit Kraus, Ya'akov (Kobi) Gal, C. Ashley Fulmer. When Time is Not Money: Why Americans Lose Out at the Negotiation Table. Academy of Management Discoveries [to appear] New journal, no citation reports.

22. * Reuth Mirsky, Ya’akov Gal and Stuart Shieber. CRADLE: An Online Plan

Recognition Algorithm for Exploratory Domains. ACM Transactions on Intelligent Systems and

Technology [to appear] (ISI 2015 Impact factor 2.414, Q1).

(e) Chapters in collective volumes – Book chapters

15

1. Ofra Amir, Ya'akov Gal, David Yaron, Michael Karabinos, and Robert Belford. Plan

Recognition and Visualization in Exploratory Learning Environments. In A. Pena-Ayala (Ed.)

Educational Data Mining: Applications and Trends, Springer, 2013.

2. Michele Joy Gelfand and Ya'akov Gal. The brave new negotiating world: Challenges and

opportunities. In B. Goldman & D. Shapiro (Eds.) The psychology of negotiations in the21st

Century Workplace. SIOP Frontiers Book, Routledge, 2013.

(f) Chapters in collective volumes – Workshops

1. Galit Haim, Ya'akov Gal, Sarit Kraus and Yael Blumberg, Learning Human Negotiation

Behavior Across Cultures. Second International Working Conference on Human Factors and

Computational Models in Negotiation 2010

2. Ya'akov Gal, Rajesh Kasturirangen, Avi Pfeffer and Whitman Richards. How Tacit

Knowledge Guides Action. Workshop on Naturally-Inspired Artificial Intelligence, AAAI

2008 Fall Symposium Series, Arlington, VA, November 2008.

3. Ya'akov Gal, Barbara Grosz, Sarit Kraus, Avi Pfeffer and Stuart Shieber Colored Trails: a

Formalism for Investigating Decision-making in Strategic Environments IJCAI 2005 Workshop

on Reasoning, Representation, and Learning in Computer Games

4. Marco Carbone, Ya'akov Gal, Stuart Shieber and Barbara Grosz Unifying Annotated

Discourse Hierarchies to create a Gold Standard Special Interest Group on Discourse and

Dialogue (SIGdial), Cambridge, MA, May 2004

5. Ya'akov Gal and Avi Pfeffer A Language for Opponent Modeling in Repeated Games

AAMAS03 Game theoretic workshop

6. Ya'akov Gal An HMM Approach to Vowel Restoration in Hebrew and Arabic ACL 02 Semitic

Language Workshop

• Research Grants

16

1. 2012-2016 – Israeli Science Foundation (ISF). Collaborative Systems for Exploratory

Domains. Total amount: 480,000 NIS (about $120,000). Sole Principal Investigator. Competitive

grant.

2. 2012-2016 – Israeli Science Foundation (ISF). Understanding and designing voting systems

for bounded rational voters. Total amount: 936,000 NIS (about $247,000). Co-PI with Dr. Reshef

Meir of the Technion. Competitive grant.

3. 2015-2016 – MIT MISTI Israel Seed fund. Guiding Students' Learning Using On-line

Collaborative Annotation Tools. Total amount: $20,000. Co principal investigator (With Prof.

David Karger at MIT).

4. 2012-2016 – Israeli Science Foundation (ISF). Collaborative Systems for Exploratory

Domains. Total amount: 480,000 NIS (about $120,000). Sole Principal Investigator. Competitive

grant.

5. 2012-2016 - European Union Seventh Framework Program. Hybrid and Diversity-

Collective-Aware Adaptive Systems. Annual amount: 87,500 Euros. Total amount: 350,000 Euros

Co Principal Investigator (together with the University of Edinburgh, University of Oxford,

University of Trento, H-hopper, Deutsche Forschungzentrum für Künstliche Intelligenz,

KarlstadsUniversitet, Vienna University of Technology, University of Southampton. Competitive

grant.

6. 2010 – 2013 - European Union Seventh Framework Program - Information Exchange

Policies for Human-Computer Negotiation. Total amount: 100,000 Euros.

Sole Principal Investigator. Competitive grant

7. 2010 – 2011 - Returning Scientist Grant. Israeli council for higher education. $48,290. Non

competitive grant. Sole Principal Investigator.

8. 2010 - 2011 – Office for Naval Research (ONR). Non competitive grant. $10,000

Contractor.

17

• Lectures and Presentations at Meetings and Invited Seminars not followed by Published

Proceedings

(a) Invited plenary lectures at conferences/meetings

1. 2013 – Invited speaker: The Eighth Multiagent Sequential Decision-making under Uncertainty

workshop (held at AAMAS 2013).

2. 2006 - Single- and multi-agent decision-making. Tutorial at the 5th Americas School on Agents

and Multi-agent Systems, Cambridge, MA.

3. 2007 - Graphical models for decision-making in multi-agent systems. Tutorial at the 6th

International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS),

Honolulu, HI.

4. 2008 - Graphical models for decision-making in multi-agent systems. Tutorial at the 23rd

International Joint Conference on Artificial Intelligence (AAAI), Chicago, IL, July 2008,

(b) Seminar presentations at universities and institutions

1. 2004 - A computer agent for negotiating with humans. Talks in Cognitive Science Seminar,

University of Massachusetts at Boston,

2. 2004 - Mind, Brain and Behavior Seminar, Harvard University.

3. 2005 - Reasoning about rationality and beliefs. Resource Bounded Reasoning Seminar,

Department of computer science, University of Massachusetts at Amherst.

4. 2005 - Economics and Computer Science Seminar, Department of computer science, Harvard

University.

5. 2006 - Investigating decision-making between people and computers. Cognitive Psychology

18

Seminar, University of Texas at Austin,

6. 2007 - Effective computer agents for human-computer decision-making. Stochastic Systems

Group Seminar, MIT Computer Science and Artificial Intelligence Lab.

7. 2008 - Learning about People’s Social Preferences. Human factors seminar, Department of

Industrial Engineering, Technion, Israel.

8. 2015 – Efficient agents for human-computer decision-making. University of Zurich, department

of informatics.

• Present Academic Activities

• Synopsis of research, including reference to publications and grants in above lists

My work investigates decision making in heterogeneous groups comprising both people and

computational agents. A significant amount of human activity involves people working together in

groups, whether competitively, cooperatively, or collaboratively. Increasingly, these groups also

involve computer systems acting autonomously or as proxies for individual people or organizations.

How to design effective computer agents for interacting with people in these settings is a multi-faceted

question, drawing on artificial intelligence (knowledge representation and learning), psychology (social

and cognitive factors), and economics (decision and game-theoretic paradigms).

Consider an intelligent system for teaching mathematics to students. The participants in this setting

consist of teachers, computer tutors, and students. While all participants share a common goal of

increasing students' knowledge of mathematics, each participant also has a unique set of motivations:

Students wish to answer the questions posed by the computer tutors; teachers wish to maximize the

number of students that understand the material forclass; computer tutors seek to minimize the

intrusion in their interaction with students and to summarize their performance to the teacher in a

succinct and meaningful way.

The design of effective computational agents for making decisions in these types of settings involves

the synthesis of a variety of techniques: Formal, expressive representations are needed for describing

19

the decision-making processes of people and computer agents; efficient algorithms must be developed

for learning these representations from observed data; empirical frameworks are necessary for

comparing between the performance of different computational strategies and their effect on human

behavior.

My research agenda will use the tools and insights mentioned above to address a wide range of tasks in

which computational agents need to understand how and why people make particular decisions. These

include applications where computers support people (e.g., intelligent tutors), act as proxies for

individuals (e.g., military simulations), and work in groups autonomously alongside people to carry out

tasks (e.g., hospital-care systems). To this end, my work will encompass a range of empirical,

analytical, and algorithmic techniques. Specifically, I propose to focus on the following research

thrusts.

Collaborative Interfaces: Traditional human-computer interaction exhibits a master-servant

relationship that diminishes the ability of computer agents to be useful partners. A key requirement

for collaborative computer systems is to share the problem-solving with their users by inferring their

plans and goals. For example, a computer system for teaching mathematics needs to make decisions

that mediate between the goals and motivations of students, teachers and system. Asking very simple

questions of the student will fulfill the individual goal of the student, but not of the teacher. I wish to

investigate questions such as (1) can computers learn to identify when and how to interact with

students in a way that enhances their learning experiences? (2) How do different students react to

machine-generated support, and can computers learn to adopt different types of support strategies for

different students? (3) How can we most usefully present data to teachers about the performance,

strengths, and weaknesses of individual students, as well as aggregate data about group performance?

Social Decision-Making and Cultural Shifts: In many heterogeneous systems, people and systems

belong to organizations, cultures, or societies that have explicit roles and relationships. Research in

social psychology has shown that people's decision making is strongly influenced by their roles and

positions in social hierarchies. For example, controversial decisions taken by group leaders may

20

eventually lead members of the group to change their beliefs and values. The study of the cultural and

organizational structures that engender social relationships raises important questions for the design of

computer agents that need to interact with people in the context of their organizational and social

positions: What are the dynamics governing the evolution of social structures in human groups? How

do beliefs, values and plans for individual action propagate through these structures and affect group

members, whether people or computers? How does the presence of computer agents affect the

behavior of members in the social groups in which they participate? What is the effect of social

hierarchy on the computer agents that individuals or groups design to act on their behalf?

Behavioral Mechanism Design: Advancements in technology are making it possible for people to

design proxy agents to represent their interests when making decisions in settings such as on-line

auctions, hospital care systems, and military simulations. The humans that design these computer

proxies differ in their geographic location, the tools they use to construct these agents, and their

cultural affiliation. A wide variety of psychological and computational issues accompany the design

of computer proxies by people: Do the social factors that affect people's behavior also affect the

behavior of the agents they design? How does geography, culture and gender affect the strategic and

logical reasoning embedded in the decision-making of these agents? Under what circumstances to

people behave in the same way as their proxy agents?

References:

[1] Y. Gal, B. J. Grosz, A. Pfeffer, and S. Shieber. Colored trails: a formalism for investigating

decision-making in strategic environments. In Workshop on Reasoning, Representation, and Learning

in Computer Games, 2005.

[2] Y. Gal and A. Pfeffer. Network of influence diagrams: Reasoning about agents’ beliefs and

decision-making processes. Journal of Artificial Intelligence Research, 33:109–147, 2008.

[3] Y. Gal, A. Pfeffer, F. Marzo, and B. Grosz. Learning social preferences in games. In Proc. 19th

National Conference on Artificial Intelligence (AAAI), 2004.

21

[4] Y. Gal, E. Yamangil, A. Rubin, S. Shieber, and B. J. Grosz. Towards collaborative intelligent

tutors: Automated recognition of users’ strategies. In Proceedings of the Ninth International

Conference on Intelligent Tutoring Systems (ITS), Montreal, Quebec, 2008.