Search Results - (((((((kant OR kantor) OR agent) OR arts) OR cantor) OR anne) OR agent) OR wkantin) algorithms.

Autonomous agents and multi-agent systems : explorations in learning, self-organization, and adaptive computation by Liu, Jiming, 1962-

Table of Contents: “…Learning. 1.4. Neural agents. 1.5. Evolutionary agents. 1.6. Learning in cooperative agents. 1.7. …”
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Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

Table of Contents: “…; ""Coordination, Cooperation and Teamwork""; ""Obligation and Prohibition Norms Mining Algorithm for Normative Multi-agent Systems""…”
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Network-Based Distributed Planning Using Coevolutionary Algorithms. by Subbu, Raj

Table of Contents: “…Combinatorial optimization. 2.3. Evolutionary algorithms. 2.4. Agents. 2.5. Distributed problem solving -- 3. …”
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Black box classical groups by Kantor, W. M. (William M.), 1944-

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Agent-based computing

Table of Contents: “…AGENT-BASED COMPUTING -- AGENT-BASED COMPUTING -- CONTENTS -- PREFACE -- AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION -- 1. …”
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Multi-Agent Coordination : A Reinforcement Learning Approach. by Sadhu, Arup Kumar

Table of Contents: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction: Multi-agent Coordination by Reinforcement Learning and Evolutionary Algorithms -- 1.1 Introduction -- 1.2 Single Agent Planning -- 1.2.1 Terminologies Used in Single Agent Planning -- 1.2.2 Single Agent Search-Based Planning Algorithms -- 1.2.2.1 Dijkstra's Algorithm -- 1.2.2.2 A* (A-star) Algorithm -- 1.2.2.3 D* (D-star) Algorithm -- 1.2.2.4 Planning by STRIPS-Like Language -- 1.2.3 Single Agent RL -- 1.2.3.1 Multiarmed Bandit Problem -- 1.2.3.2 DP and Bellman Equation…”
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Autonomous bidding agents : strategies and lessons from the trading agent competition by Wellman, Michael P.

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning : Incorporate New Powerful ML Algorithms Such As Deep Reinforcement Learning for Games. by Lanham, Micheal

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Multi-agent machine learning : a reinforcement approach

Table of Contents: “…2.12 Eligibility TracesReferences; Chapter 3: Learning in Two-Player Matrix Games; 3.1 Matrix Games; 3.2 Nash Equilibria in Two-Player Matrix Games; 3.3 Linear Programming in Two-Player Zero-Sum Matrix Games; 3.4 The Learning Algorithms; 3.5 Gradient Ascent Algorithm; 3.6 WoLF-IGA Algorithm; 3.7 Policy Hill Climbing (PHC); 3.8 WoLF-PHC Algorithm; 3.9 Decentralized Learning in Matrix Games; 3.10 Learning Automata; 3.11 Linear Reward-Inaction Algorithm; 3.12 Linear Reward-Penalty Algorithm; 3.13 The Lagging Anchor Algorithm; 3.14 L R-I Lagging Anchor Algorithm; References.…”
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Foundations of decision-making agents : logic, probability and modality by Das, Subrata Kumar

Table of Contents: “…Ch. 1. Modeling agent epistemic states: an informal overview. 1.1. …”
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Cooperative Control of Multi-Agent Systems : Theory and Applications

Table of Contents: “…8.5.2 Example for Designing Minimum Total Effective Resistance Network -- 8.5.3 Example of NTI with Agent Dynamics Driven by Consensus Protocol -- 8.6 Conclusions -- References -- Chapter 9 Distributed Multi-Agent Coordination with Uncertain Interactions: A Probabilistic Perspective -- 9.1 Introduction -- 9.2 Preliminaries -- 9.2.1 Graph Theory Notions -- 9.2.2 Problem Statement -- 9.3 Fixed Interaction Graph -- 9.3.1 Equal Possibility -- 9.3.2 Unequal Possibility -- 9.4 Switching Interaction Graph -- 9.5 Conclusion -- References -- Chapter 10 Awareness Coverage Control in Unknown Environments Using Heterogeneous Multi-Robot Systems -- 10.1 Introduction -- 10.2 Problem Formulation -- 10.2.1 Robot Models -- 10.2.2 Sensor Models -- 10.2.3 Communication Strategies -- 10.2.4 State of Awareness Dynamics -- 10.3 Cooperative Control of Heterogeneous Multi-Robot Systems -- 10.3.1 Motion Control for Boundary-Tracking UAVs -- 10.3.2 Awareness Coverage Control for Coverage Robots -- 10.3.2.1 Awareness Metric -- 10.3.2.2 Domain Coverage Algorithm -- 10.4 Simulation Results -- 10.5 Conclusion -- References -- Index -- EULA.…”
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Knowledge mining using intelligent agents

Table of Contents: “…Theoretical foundations of knowledge mining and intelligent agent / S. Dehuri and S.-B. Cho -- 2. The use of evolutionary computation in knowledge discovery : The example of intrusion detection systems / S.X. …”
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Modern Big Data Architectures : A Multi-Agent Systems Perspective. by Ryzko, Dominik

Table of Contents: “…3.2 Scientific Data -- 3.3 Industrial Data -- 3.4 Internet of Things -- CHAPTER 4: Big Data Tasks -- 4.1 Recommender Systems -- 4.2 Search -- 4.3 Ad-tech and RTB Algorithms -- 4.4 Cross-Device Graph Generation -- 4.5 Forecasting and Prediction Systems -- 4.6 Social Media Big Data -- 4.7 Anomaly and Fraud Detection -- 4.8 New Drug Discovery -- 4.9 Smart Grid Control and Monitoring -- 4.10 IoT and Big Data Applications -- CHAPTER 5: Cloud Computing -- 5.1 Cloud Enabled Architectures -- 5.2 Agents and the Cloud -- CHAPTER 6: Big Data Architectures -- 6.1 Big Data Computation Models…”
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Computational ecology : graphs, networks and agent-based modeling by Zhang, Wenjun

Table of Contents: “…Ecological network analysis: innovations -- Part III. Agent-based modeling: 11. Agent-based modeling -- 12. …”
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Hands-On Intelligent Agents with OpenAI Gym : Your Guide to Developing AI Agents Using Deep Reinforcement Learning. by Palanisamy, Praveen

Table of Contents: “…Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introduction to Intelligent Agents and Learning Environments; What is an intelligent agent?…”
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Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Theory of randomized search heuristics : foundations and recent developments

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Iterative learning control for multi-agent systems coordination by Yang, Shiping, 1987-, Xu, Jian-Xin, Li, Xuefang, 1985-, Shen, Dong, 1982-

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How to guard an art gallery and other discrete mathematical adventures by Michael, T. S., 1960-

Table of Contents: “…s Formula: Second Proof -- 2.8 Batting Averages and Lattice Points -- 2.9 Three Dimensions and N-largements -- 2.10 Notes and References -- 2.11 Problems -- 3 How to Guard an Art Gallery -- 3.1 The Sunflower Art Gallery -- 3.2 Art Gallery Problems -- 3.3 The Art Gallery Theorem -- 3.4 Colorful Consequences -- 3.5 Triangular and Chromatic Assumptions -- 3.6 Modern Art Galleries -- 3.7 Art Gallery Sketches -- 3.8 Right-Angled Art Galleries -- 3.9 Guarding the Guards -- 3.10 Three Dimensions and the Octoplex…”
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Flowchart and Algorithm Basics : The Art of Programming. by Chaudhuri, A. B.

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