Titlebook: Agent and Multi-Agent Systems: Technologies and Applications; Proceedings of the 8 Gordan Jezic,Mario Kusek,Lakhmi C. Jain Conference proce

虚度

乞讨

痛得哭了

荨麻

Indeterministic Belief Structures,ious papers we approached individual and group beliefs via querying paraconsistent belief bases. This framework, covering deterministic belief structures, turned out to be tractable under some natural restrictions on implementation. Moreover, we have indicated a four-valued query language 4QL as an

Forehead-Lift

Implementation of Agent-Based Games Recommendation System on Mobile Platforms,ood thing, but it also virtually disables users to find games they would like to play. However, it was shown that users tend to spend more money on purchasing recommended games when these recommendations are done using personal recommenders. In this paper we present an agent-based recommender for mo

cogent

aspect

Multi-agent Non-linear Temporal Logic with Embodied Agent Describing Uncertainty,n of uncertainty in multi-agent environment. We construct algorithms for verification satisfiability and truth statements in the logic .. Found computational algorithms are based at refutability of rules in reduced form at special finite frames of effectively bounded size. We show that our chosen fr

Dri727

Modelling Travel Routes in Transport Systems by Means of Timed and Hybrid Petri Nets,outes in different non-standard situations during the increased traffic density (i.e. at the bounded traffic or congestion). This work extends our previous work where the flexible routes in transport systems were found by means of the place/transition Petri nets (P/T PN). While at usage of the TPN o

Ostrich

Distributed Regret Matching Algorithm for a Dynamic Route Guidance, user’s past routing experiences and en-route traffic information into their optimal route guidance learning. The numerical study illustrates that the proposed self-guidance method can effectively reduce the travel times and delays of guided users in congested situation.

汇总

A Uniform Problem Solving in the Cognitive Algebra of Bounded Rational Agents,e problems. Consistent with the ideas of anytime algorithms, $-calculus applies the cost performance measures to converge to optimal solutions with minimal problem solving costs. In the paper, we concentrate on a uniform problem solving and its implementation aspects illustrated on two benchmarks fr