Negociprob

Negociprob is a probabilistic programming language designed for specifying and reasoning about uncertain negotiation scenarios. It allows users to model the decision-making processes of multiple agents engaged in negotiation, where outcomes are not deterministic but rather influenced by probabilities and strategic choices. The language provides constructs for defining agent preferences, belief systems, and possible actions, as well as mechanisms for expressing uncertainty about the opponent's state or intentions.

The core idea behind negociprob is to move beyond simple game-theoretic models by incorporating explicit probabilistic reasoning. This enables the representation of situations where agents have incomplete information, make probabilistic assessments of their environment, or adopt strategies that involve an element of randomness. By leveraging probabilistic inference techniques, negociprob can be used to analyze potential negotiation outcomes, evaluate the robustness of different strategies, and understand how uncertainty affects the negotiation process.

Applications of negociprob include modeling complex economic negotiations, diplomatic discussions, and even automated negotiation systems. Researchers and practitioners can use it to build more realistic and insightful models of interactive decision-making under uncertainty. The language aims to bridge the gap between traditional game theory and modern probabilistic methods, offering a powerful tool for understanding and designing intelligent negotiation agents.