S. Sen, A. Biswas, and S. Debnath. Believing others: pros and cons. Artificial Intelligence, 142(2):179-- 203, December 2002. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Finding Interaction Partners Using Cognition-Based.. - Partha Sarathi Dutta (Correct)
....et. al [2000] However, in their work, agents do not employ cognitive abilities to recognise behaviours of other agents, nor do they adapt their action selection during interactions. Learning another agent s strategy and analysing past experience to take interaction decisions are employed in [Sen, 2002] . However, assumptions such as any agent can interact with any other constrain the scalability of his strategies. Also, agents do not model environment characteristics and do not employ future lookahead to predict the behaviour of another agent. We remove all these restrictions in our work. ....
....of task types. From Table 1, we see that the values of # and # are both four. Agent # uses a sigmoidal probability function, # # #### # ### # (2) to determine the probability (Pr) of accepting # s service request. This form is inspired from the Fermi function and has been used in settings [Sen, 2002; Jin et al. 2001] where the probability of choosing an action is thresholded around some value ## of a control variable # . The probability takes a value of 0.5 when the control variable is equal to the threshold. The transition of the probability function around the point # # ## can be made ....
S. Sen. Believing others: pros and cons. Artificial Intelligence, 142:179--203, 2002.
The Evolution and Stability of Cooperative Traits - Sen, Dutta (2002) (1 citation) Self-citation (Sen) (Correct)
....we can also define rules of interaction to increase the likelihood of cooperation possibilities. We are interested in identifying agent behaviors that allow agents to take advantage of cooperation possibilities in their environments. The current work is based largely on the work of Sen et al. [14, 15]. They have presented behaviors that promote cooperation among homogeneous groups and can resist exploitation by malevolent agents in heterogeneous groups. Such behaviors can lead to both improved local performance for individual agents and e#ective global performance for the entire system. A ....
....by varying the total number of interactions of this group of agents. Though interesting, we believe it represents an incomplete evaluation of probabilistic reciprocity based behaviors. In this paper, we evaluate the variants of exploitative and reciprocative behaviors suggested by Sen et al. [15] in a generational framework as used by Axelrod [2] This allows us to see what behaviors emerge to be dominant or are evolutionarily stable. Though Sen et al. work with heterogeneous groups, these always have only up to two behavior types. For example they show that reciprocative agents can ....
[Article contains additional citation context not shown here]
S. Sen, A. Biswas, and S. Debnath. Believing others: Pros and cons. In Proceedings of the Fourth pages 279--285, Los Alamitos, CA, 2000. IEEE Computer Society.
Trust-aware Decentralized Recommender Systems: PhD Research Proposal - Massa (2003) (Correct)
No context found.
S. Sen, A. Biswas, and S. Debnath. Believing others: pros and cons. Artificial Intelligence, 142(2):179-- 203, December 2002.
Cooperative Learning Using Advice Exchange - Lus Nunes Eugnio (2003) (Correct)
No context found.
S. Sen, A. Biswas, S. Debnath. Believing others: Pros and Cons. Proceedings of the Fourth International Conference on Multiagent Systems, 279-286, 2000
Reciprocity Based Cooperation in a Limited Resource.. - Sabyasachi Saha Department (2004) (Correct)
No context found.
S. Sen. Believing others: Pros and cons. Artificial Intelligence, 142(2):179--203, 2002.
Trust-aware Decentralized Recommender Systems: PhD Research Proposal - Massa (2004) (Correct)
No context found.
S. Sen, A. Biswas, and S. Debnath. Believing others: pros and cons. Artificial Intelligence, 142(2):179-- 203, December 2002.
The Past and Future of Multiagent Systems - Vidal, Buhler, Goradia (2004) (Correct)
No context found.
S. Sen. Believing others: Pros and cons. Artificial Intelligence, 142(2):179--203, December 2002.
From Local Behaviors to Global Performance in a Multi-Agent.. - Bingcheng Hu Jiming (Correct)
No context found.
S. Sen, A. Biswas, and S. Debnath. Believing others: Pros and cons. Artificial Intelligence, 142 (2):179 -- 203, December 2002.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC